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Publications citing ORNL DAAC Terrestrial Ecology Subsetting & Visualization Services (TESViS)

The following 759 publications cited the ORNL DAAC Terrestrial Ecology Subsetting & Visualization Services (TESViS).

YearCitation
2023Balogun, O., R. Bello, and K. Higuchi. 2023. Terrestrial CO2 exchange diagnosis using a peatland-optimized vegetation photosynthesis and respiration model (VPRM) for the Hudson Bay Lowlands. Science of The Total Environment. 875:162591. https://doi.org/10.1016/j.scitotenv.2023.162591
2023Feng, X., X. Zhang, and J. Wang. 2023. Update of SO2 emission inventory in the Megacity of Chongqing, China by inverse modeling. Atmospheric Environment. 294:119519. https://doi.org/10.1016/j.atmosenv.2022.119519
2023Huemmrich, K.F., J. Gamon, P. Campbell, M. Mora, S. Vargas Z, B. Almanza, and C. Tweedie. 2023. 20 years of change in tundra NDVI from coupled field and satellite observations. Environmental Research Letters. 18(9):094022. https://doi.org/10.1088/1748-9326/acee17
2023Maltese, A. 2023. On the Choice of the Most Suitable Period to Map Hill Lakes via Spectral Separability and Object-Based Image Analyses. Remote Sensing. 15(1):262. https://doi.org/10.3390/rs15010262
2023Micaela Rosas, Y., P.L. Peri, J. Benítez, M. Vanessa Lencinas, N. Politi, and G. Martínez Pastur. 2023. Potential biodiversity map of bird species (Passeriformes): Analyses of ecological niche, environmental characterization and identification of priority conservation areas in southern Patagonia. Journal for Nature Conservation. 73:126413. https://doi.org/10.1016/j.jnc.2023.126413
2023Pelak, N., M. Sohrabi, M. Safeeq, and M. Conklin. 2023. Improving snow water equivalent simulations in an alpine basin by blending precipitation gauge and snow pillow measurements. Hydrological Processes. 37(1). https://doi.org/10.1002/hyp.14796
2023Poczta, P., M. Urbaniak, T. Sachs, K.M. Harenda, A. Klarzy?ska, R. Juszczak, D. Schüttemeyer, B. Czernecki, A. Kryszak, and B.H. Chojnicki. 2023. A multi-year study of ecosystem production and its relation to biophysical factors over a temperate peatland. Agricultural and Forest Meteorology. 338:109529. https://doi.org/10.1016/j.agrformet.2023.109529
2023Rozanov, A.P. and K.G. Gribanov. 2023. A Neural Network Model for Estimating Carbon Fluxes in Forest Ecosystems from Remote Sensing Data. Atmospheric and Oceanic Optics. 36(4):323-328. https://doi.org/10.1134/S1024856023040152
2023Scott, R.L., M.R. Johnston, J.F. Knowles, N. MacBean, K. Mahmud, M.C. Roby, and M.P. Dannenberg. 2023. Interannual variability of spring and summer monsoon growing season carbon exchange at a semiarid savanna over nearly two decades. Agricultural and Forest Meteorology. 339:109584. https://doi.org/10.1016/j.agrformet.2023.109584
2023Sfîc?, L., A. Coroc?escu, C. Cre?u, V. Amih?esei, and P. Ichim. 2023. Spatiotemporal Features of the Surface Urban Heat Island of Bac?u City (Romania) during the Warm Season and Local Trends of LST Imposed by Land Use Changes during the Last 20 Years. Remote Sensing. 15(13):3385. https://doi.org/10.3390/rs15133385
2023Sindhu, S., C.D. Jain, M.V. Ratnam, and P.R. Sinha. 2023. Measurements of Volatile Organic Compounds at a rural site in India: Variability and sources during the seasonal transition. Science of The Total Environment. 897:165493. https://doi.org/10.1016/j.scitotenv.2023.165493
2023Smith, J.W., R.Q. Thomas, and L.R. Johnson. 2023. Parameterizing Lognormal state space models using moment matching. Environmental and Ecological Statistics. 30(3):385-419. https://doi.org/10.1007/s10651-023-00570-x
2023Tian, Z., C. Yi, Y. Fu, E. Kutter, N.Y. Krakauer, W. Fang, Q. Zhang, and H. Luo. 2023. Fusion of Multiple Models for Improving Gross Primary Production Estimation With Eddy Covariance Data Based on Machine Learning. Journal of Geophysical Research: Biogeosciences. 128(3). https://doi.org/10.1029/2022JG007122
2023Xu, J., M. Feng, Y. Sui, D. Yan, K. Zhang, and K. Shi. 2023. Identifying Alpine Lakes in the Eastern Himalayas Using Deep Learning. Water. 15(2):229. https://doi.org/10.3390/w15020229
2023Zimba, H., M. Coenders-Gerrits, K. Banda, B. Schilperoort, N. van de Giesen, I. Nyambe, and H.H.G. Savenije. 2023. Phenophase-based comparison of field observations to satellite-based actual evaporation estimates of a natural woodland: miombo woodland, southern Africa. Hydrology and Earth System Sciences. 27(8):1695-1722. https://doi.org/10.5194/hess-27-1695-2023
2023Zoran, M.A., R.S. Savastru, D.M. Savastru, and M.N. Tautan. 2023. Peculiar weather patterns effects on air pollution and COVID-19 spread in Tokyo metropolis. Environmental Research. 228:115907. https://doi.org/10.1016/j.envres.2023.115907
2022Ba, R., M. Lovallo, W. Song, H. Zhang, and L. Telesca. 2022. Multifractal Analysis of MODIS Aqua and Terra Satellite Time Series of Normalized Difference Vegetation Index and Enhanced Vegetation Index of Sites Affected by Wildfires. Entropy. 24(12):1748. https://doi.org/10.3390/e24121748
2022Ba, R., W. Song, M. Lovallo, H. Zhang, and L. Telesca. 2022. Informational analysis of MODIS NDVI and EVI time series of sites affected and unaffected by wildfires. Physica A: Statistical Mechanics and its Applications. 604:127911. https://doi.org/10.1016/j.physa.2022.127911
2022Campero-Taboada, M.J., E. Luquin, M. Montesino-SanMartin, M. González-Audícana, and M.A. Campo-Bescós. 2022. Evaluation of R Tools for Downloading MODIS Images and Their Use in Urban Growth Analysis of the City of Tarija (Bolivia). Remote Sensing. 14(14):3404. https://doi.org/10.3390/rs14143404
2022Davidson, A.D., D.J. Augustine, H. Jacobsen, D. Pellatz, L.M. Porensky, G. McKee, and C. Duchardt. 2022. Boom and bust cycles of black-tailed prairie dog populations in the Thunder Basin grassland ecosystem. Journal of Mammalogy. 103(5):1112-1126. https://doi.org/10.1093/jmammal/gyac035
2022Dokoohaki, H., B.D. Morrison, A. Raiho, S.P. Serbin, K. Zarada, L. Dramko, and M. Dietze. 2022. Development of an open-source regional data assimilation system in PEcAn v. 1.7.2: application to carbon cycle reanalysis across the contiguous US using SIPNET. Geoscientific Model Development. 15(8):3233-3252. https://doi.org/10.5194/gmd-15-3233-2022
2022Florio, E.L., and M.D. Nosetto. 2022. A modeling approach to explore the influence of different crop rotations on water-table depths and crop yields in the Pampas. Soil and Tillage Research. 223:105496. https://doi.org/10.1016/j.still.2022.105496
2022Kim, J., Y. Kim, J. Kim, K. Cho, J. Hong, J. Hong, S. Jo, C. Park, and J.H. Chun. 2022. A transiting temperate-subtropical mixed forest: carbon cycle projection and uncertainty. Environmental Research Letters. 17(9):094010. https://doi.org/10.1088/1748-9326/ac87c0
2022Kitzberger, T., F. Tiribelli, I. Barberá, J.H. Gowda, J.M. Morales, L. Zalazar, and J. Paritsis. 2022. Projections of fire probability and ecosystem vulnerability under 21st century climate across a trans-Andean productivity gradient in Patagonia. Science of The Total Environment. 839:156303. https://doi.org/10.1016/j.scitotenv.2022.156303
2022Li, H., J. Zhang, S. Zhang, and Y. Bai. 2022. Machine learning and remote sensing-based modeling of the optimal stomatal behavior of crops. Computers and Electronics in Agriculture. 200:107261. https://doi.org/10.1016/j.compag.2022.107261
2022Mouser, J.B., S.K. Brewer, M.L. Niemiller, R. Mollenhauer, and R.A. Van Den Bussche. 2022. Lithology and disturbance drive cavefish and cave crayfish occurrence in the Ozark Highlands ecoregion. Scientific Reports. 12(1). https://doi.org/10.1038/s41598-022-21791-3
2022Renjana, E., I.P. Astuti, E. Munawaroh, S. Mursidawati, J.R. Witono, Yuzammi, I.A. Fijridiyanto, P.D. Raharjo, S.M. Solihah, I. Robiansyah, W.P. Cropper, and A. Yudaputra. 2022. Assessing potential habitat suitability of parasitic plant: A case study of Rafflesia arnoldii and its host plants. Global Ecology and Conservation. 34:e02063. https://doi.org/10.1016/j.gecco.2022.e02063
2022Steger, C., R.B. Boone, B.W. Dullo, P. Evangelista, S. Alemu, K. Gebrehiwot, and J.A. Klein. 2022. Collaborative agent-based modeling for managing shrub encroachment in an Afroalpine grassland. Journal of Environmental Management. 316:115040. https://doi.org/10.1016/j.jenvman.2022.115040
2022Wang, K. and P. Kumar. 2022. Virtual laboratory for understanding impact of heterogeneity on ecohydrologic processes across scales. Environmental Modelling & Software. 149:105283. https://doi.org/10.1016/j.envsoft.2021.105283
2021Achille, L.S., K. Zhang, K.M. Eloge, C.J.A. Kouassi, and M.M. Michel. 2021. Influence of Spatial Distribution on the Regeneration of <i>Piptadeniastrum africanum</i> and <i>Ocotea usambaernsis</i> in Kalikuku, Lubero, North Kivu, Democratic Republic of Congo. Open Journal of Ecology. 11(07):527-539. https://doi.org/10.4236/oje.2021.117034
2021Applestein, C., A.B. Simler-Williamson, and M.J. Germino. 2021. Weather and distance to fire refugia limit landscape-level occurrence of fungal disease in an exotic annual grass. Journal of Ecology. https://doi.org/10.1111/1365-2745.13638
2021Beal, M.R.W., B. O'Reilly, K.R. Hietpas, and P. Block. 2021. Development of a sub-seasonal cyanobacteria prediction model by leveraging local and global scale predictors. Harmful Algae. 108:102100. https://doi.org/10.1016/j.hal.2021.102100
2021Francis, D., K.S. Mattingly, S. Lhermitte, M. Temimi, and P. Heil. 2021. Atmospheric extremes caused high oceanward sea surface slope triggering the biggest calving event in more than 50 years at the Amery Ice Shelf. The Cryosphere. 15(5):2147-2165. https://doi.org/10.5194/tc-15-2147-2021
2021Justino, F., D. Bromwich, A. Wilson, A. Silva, A. Avila-Diaz, A. Fernandez, and J. Rodrigues. 2021. Estimates of temporal-spatial variability of wildfire danger across the Pan-Arctic and extra-tropics. Environmental Research Letters. 16(4):044060. https://doi.org/10.1088/1748-9326/abf0d0
2021Kistner-Thomas, E., S. Kumar, L. Jech, and D.A. Woller. 2021. Modeling Rangeland Grasshopper (Orthoptera: Acrididae) Population Density Using a Landscape-Level Predictive Mapping Approach. Journal of Economic Entomology. 114(4):1557-1567. https://doi.org/10.1093/jee/toab119
2021Lee, E., P. Kumar, J.F. Knowles, R.L. Minor, N. Tran, G.A. Barron-Gafford, and R.L. Scott. 2021. Convergent Hydraulic Redistribution and Groundwater Access Supported Facilitative Dependency Between Trees and Grasses in a Semi-Arid Environment. Water Resources Research. 57(6):. https://doi.org/10.1029/2020WR028103
2021Liu, F., C. Wang, and X. Wang. 2021. Can vegetation index track the interannual variation in gross primary production of temperate deciduous forests?. Ecological Processes. 10(1):. https://doi.org/10.1186/s13717-021-00324-2
2021Possinger, A.R., T.L. Weiglein, M.M. Bowman, A.C. Gallo, J.A. Hatten, K.A. Heckman, L.M. Matosziuk, L.E. Nave, M.D. SanClements, C.W. Swanston, and B.D. Strahm. 2021. Climate Effects on Subsoil Carbon Loss Mediated by Soil Chemistry. Environmental Science & Technology. 55(23):16224-16235. https://doi.org/10.1021/acs.est.1c04909
2021Randazzo, N.A., A.M. Michalak, C.E. Miller, S.M. Miller, Y.P. Shiga, and Y. Fang. 2021. Higher Autumn Temperatures Lead to Contrasting CO 2 Flux Responses in Boreal Forests Versus Tundra and Shrubland . Geophysical Research Letters. 48(18):. https://doi.org/10.1029/2021GL093843
2021Rogers, C., J.M. Chen, H. Croft, A. Gonsamo, X. Luo, P. Bartlett, and R.M. Staebler. 2021. Daily leaf area index from photosynthetically active radiation for long term records of canopy structure and leaf phenology. Agricultural and Forest Meteorology. 304-305:108407. https://doi.org/10.1016/j.agrformet.2021.108407
2021Rosas, Y.M., P.L. Peri, M.V. Lencinas, R. Lasagno, and G.J. Martinez Pastur. 2021. Improving the knowledge of plant potential biodiversity-ecosystem services links using maps at the regional level in Southern Patagonia. Ecological Processes. 10(1):. https://doi.org/10.1186/s13717-021-00326-0
2021Seagren, E.G. and L.M. Schoenbohm. 2021. Drainage Reorganization Across the Puna Plateau Margin (NW Argentina): Implications for the Preservation of Orogenic Plateaus. Journal of Geophysical Research: Earth Surface. 126(8):. https://doi.org/10.1029/2021JF006147
2021Simon, J.N., N. Nuthammachot, T. Titseesang, K.E. Okpara, and K. Techato. 2021. Spatial Assessment of Para Rubber (Hevea brasiliensis) above Ground Biomass Potentials in Songkhla Province, Southern Thailand. Sustainability. 13(16):9344. https://doi.org/10.3390/su13169344
2021Wiesner, S., G. Starr, L.R. Boring, J.A. Cherry, P.C. Stoy, and C.L. Staudhammer. 2021. Forest structure and composition drive differences in metabolic energy and entropy dynamics during temperature extremes in longleaf pine savannas. Agricultural and Forest Meteorology. 297:108252. https://doi.org/10.1016/j.agrformet.2020.108252
2021Yudaputra, A. 2021. Predicting habitat suitability of critically endangered Nepenthes sumatrana. IOP Conference Series: Earth and Environmental Science. 948(1):012020. https://doi.org/10.1088/1755-1315/948/1/012020
2020Antonson, N.D., D.R. Rubenstein, M.E. Hauber, and C.A. Botero. 2020. Ecological uncertainty favours the diversification of host use in avian brood parasites. Nature Communications. 11(1):. https://doi.org/10.1038/s41467-020-18038-y
2020Ba, R., W. Song, M. Lovallo, S. Lo, and L. Telesca. 2020. Analysis of Multifractal and Organization/Order Structure in Suomi-NPP VIIRS Normalized Difference Vegetation Index Series of Wildfire Affected and Unaffected Sites by Using the Multifractal Detrended Fluctuation Analysis and the Fisher-Shannon Analysis. Entropy. 22(4):415. https://doi.org/10.3390/e22040415
2020Brown, L.A., C. Meier, H. Morris, J. Pastor-Guzman, G. Bai, C. Lerebourg, N. Gobron, C. Lanconelli, M. Clerici, and J. Dash. 2020. Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data. Remote Sensing of Environment. 247:111935. https://doi.org/10.1016/j.rse.2020.111935
2020Calvo-Rodriguez, S., R. Kiese, and G.A. Sanchez-Azofeifa. 2020. Seasonality and Budgets of Soil Greenhouse Gas Emissions From a Tropical Dry Forest Successional Gradient in Costa Rica. Journal of Geophysical Research: Biogeosciences. 125(9):. https://doi.org/10.1029/2020JG005647
2020Deb Burman, P.K., N.J. Shurpali, S. Chowdhuri, A. Karipot, S. Chakraborty, S.E. Lind, P.J. Martikainen, S. Chellappan, A. Arola, Y.K. Tiwari, P. Murugavel, D. Gurnule, K. Todekar, and T.V. Prabha. 2020. Eddy covariance measurements of CO2 exchange from agro-ecosystems located in subtropical (India) and boreal (Finland) climatic conditions. Journal of Earth System Science. 129(1):. https://doi.org/10.1007/s12040-019-1305-4
2020Griffis, T., D. Roman, J. Wood, J. Deventer, L. Fachin, J. Rengifo, D. Del Castillo, E. Lilleskov, R. Kolka, R. Chimner, J. del Aguila-Pasquel, C. Wayson, K. Hergoualc'h, J. Baker, H. Cadillo-Quiroz, and D. Ricciuto. 2020. Hydrometeorological sensitivities of net ecosystem carbon dioxide and methane exchange of an Amazonian palm swamp peatland. Agricultural and Forest Meteorology. 295:108167. https://doi.org/10.1016/j.agrformet.2020.108167
2020Ibrahim, S.A., J. Kaduk, K. Tansey, H. Balzter, and U.M. Lawal. 2020. Detecting phenological changes in plant functional types over West African savannah dominated landscape. International Journal of Remote Sensing. 42(2):567-594. https://doi.org/10.1080/01431161.2020.1811914
2020Kjellman, S.E., A. Schomacker, E.K. Thomas, L. Hakansson, S. Duboscq, A.A. Cluett, W.R. Farnsworth, L. Allaart, O.C. Cowling, N.P. McKay, S. Brynjolfsson, and O. Ingolfsson. 2020. Holocene precipitation seasonality in northern Svalbard: Influence of sea ice and regional ocean surface conditions. Quaternary Science Reviews. 240:106388. https://doi.org/10.1016/j.quascirev.2020.106388
2020Mahoney, P.J., K. Joly, B.L. Borg, M.S. Sorum, T.A. Rinaldi, D. Saalfeld, H. Golden, A.D.M. Latham, A.P. Kelly, B. Mangipane, C.L. Koizumi, L. Neufeld, M. Hebblewhite, N.T. Boelman, and L.R. Prugh. 2020. Denning phenology and reproductive success of wolves in response to climate signals. Environmental Research Letters. 15(12):125001. https://doi.org/10.1088/1748-9326/abc0ba
2020Nosetto, M.D., E. Luna Toledo, P.N. Magliano, P. Figuerola, L.J. Blanco, and E.G. Jobbagy. 2020. Contrasting CO 2 and water vapour fluxes in dry forest and pasture sites of central Argentina . Ecohydrology. https://doi.org/10.1002/eco.2244
2020Reyer, C.P.O., R. Silveyra Gonzalez, K. Dolos, F. Hartig, Y. Hauf, M. Noack, P. Lasch-Born, T. Rotzer, H. Pretzsch, H. Meesenburg, S. Fleck, M. Wagner, A. Bolte, T.G.M. Sanders, P. Kolari, A. Makela, T. Vesala, I. Mammarella, J. Pumpanen, A. Collalti, C. Trotta, G. Matteucci, E. D'Andrea, L. Foltynova, J. Krejza, A. Ibrom, K. Pilegaard, D. Loustau, J.M. Bonnefond, P. Berbigier, D. Picart, S. Lafont, M. Dietze, D. Cameron, M. Vieno, H. Tian, A. Palacios-Orueta, V. Cicuendez, L. Recuero, K. Wiese, M. Buchner, S. Lange, J. Volkholz, H. Kim, J.A. Horemans, F. Bohn, J. Steinkamp, A. Chikalanov, G.P. Weedon, J. Sheffield, F. Babst, I. Vega del Valle, F. Suckow, S. Martel, M. Mahnken, M. Gutsch, and K. Frieler. 2020. The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests. Earth System Science Data. 12(2):1295-1320. https://doi.org/10.5194/essd-12-1295-2020
2020Richardson, M. and P. Kumar. 2020. Discerning the thermodynamic feasibility of the spontaneous coexistence of multiple functional vegetation groups. Scientific Reports. 10(1):. https://doi.org/10.1038/s41598-020-75050-4
2020Rizinjirabake, F., P. Pilesjo, and D.E. Tenenbaum. 2020. Data for assessment of leached dissolved organic carbon in watersheds. Data in Brief. 32:106163. https://doi.org/10.1016/j.dib.2020.106163
2020Serrano-Ortiz, P., S. Aranda-Barranco, A. Lopez-Ballesteros, C. Lopez-Canfin, E.P. Sanchez-Canete, A. Meijide, and A.S. Kowalski. 2020. Transition Period Between Vegetation Growth and Senescence Controlling Interannual Variability of C Fluxes in a Mediterranean Reed Wetland. Journal of Geophysical Research: Biogeosciences. 125(1):. https://doi.org/10.1029/2019JG005169
2020Tian, X., F. Minunno, T. Cao, M. Peltoniemi, T. Kalliokoski, and A. Makela. 2020. Extending the range of applicability of the semi-empirical ecosystem flux model PRELES for varying forest types and climate. Global Change Biology. 26(5):2923-2943. https://doi.org/10.1111/gcb.14992
2020Tian, X., F. Minunno, T. Cao, M. Peltoniemi, T. Kalliokoski, and A. Makela. 2020. Extending the range of applicability of the semi-empirical ecosystem flux model PRELES for varying forest types and climate. Global Change Biology. 26(5):2923-2943. https://doi.org/10.1111/gcb.14992
2020Zhang, S., V. Buttò, S. Khare, A. Deslauriers, H. Morin, J. Huang, H. Ren, and S. Rossi. 2020. Calibrating PhenoCam Data with Phenological Observations of a Black Spruce Stand. Canadian Journal of Remote Sensing. 46(2):154-165. https://doi.org/10.1080/07038992.2020.1761251
2019Baldovin, T., I. Amoruso, D. Zangrando, S. Cocchio, M. Maharjan, R. Lazzari, A. Buja, V. Baldo, and C. Bertoncello. 2019. Soil-transmitted helminthiases in Nepal: Transmission boundaries and implications for local communities and international travelers. Acta Tropica. 196:155-164. https://doi.org/10.1016/j.actatropica.2019.04.014
2019Choi, K., G.R. Maharjan, and B. Reineking. 2019. Evaluating the Effectiveness of Spatially Reconfiguring Erosion Hot Spots to Reduce Stream Sediment Load in an Upland Agricultural Catchment of South Korea. Water. 11(5):957. https://doi.org/10.3390/w11050957
2019Choi, K., G.R. Maharjan, and B. Reineking. 2019. Evaluating the Effectiveness of Spatially Reconfiguring Erosion Hot Spots to Reduce Stream Sediment Load in an Upland Agricultural Catchment of South Korea. Water. 11(5):957. https://doi.org/10.3390/w11050957
2019Correa-Diaz, A., L.C.R. Silva, W.R. Horwath, A. Gomez-Guerrero, J. Vargas-Hernandez, J. Villanueva-Diaz, A. Velazquez-Martinez, and J. Suarez-Espinoza. 2019. Linking Remote Sensing and Dendrochronology to Quantify Climate-Induced Shifts in High-Elevation Forests Over Space and Time. Journal of Geophysical Research: Biogeosciences. 124(1):166-183. https://doi.org/10.1029/2018JG004687
2019Donnelly, A., R. Yu, L. Liu, J.M. Hanes, L. Liang, M.D. Schwartz, and A.R. Desai. 2019. Comparing in-situ leaf observations in early spring with flux tower CO2 exchange, MODIS EVI and modeled LAI in a northern mixed forest. Agricultural and Forest Meteorology. 278:107673. https://doi.org/10.1016/j.agrformet.2019.107673
2019Donnelly, A., R. Yu, L. Liu, J.M. Hanes, L. Liang, M.D. Schwartz, and A.R. Desai. 2019. Comparing in-situ leaf observations in early spring with flux tower CO2 exchange, MODIS EVI and modeled LAI in a northern mixed forest. Agricultural and Forest Meteorology. 278:107673. https://doi.org/10.1016/j.agrformet.2019.107673
2019El Masri, B., A.F. Rahman, and D. Dragoni. 2019. Evaluating a new algorithm for satellite-based evapotranspiration for North American ecosystems: Model development and validation. Agricultural and Forest Meteorology. 268:234-248. https://doi.org/10.1016/j.agrformet.2019.01.025
2019Haynes, K.D., I.T. Baker, A.S. Denning, R. Stockli, K. Schaefer, E.Y. Lokupitiya, and J.M. Haynes. 2019. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4). Journal of Advances in Modeling Earth Systems. 11(12):4423-4439. https://doi.org/10.1029/2018MS001540
2019Haynes, K.D., I.T. Baker, A.S. Denning, S. Wolf, G. Wohlfahrt, G. Kiely, R.C. Minaya, and J.M. Haynes. 2019. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: Part 2. Carbon Cycling. Journal of Advances in Modeling Earth Systems. 11(12):4440-4465. https://doi.org/10.1029/2018MS001541
2019Kang, M., K. Ichii, J. Kim, Y.M. Indrawati, J. Park, M. Moon, J.H. Lim, and J.H. Chun. 2019. New Gap-Filling Strategies for Long-Period Flux Data Gaps Using a Data-Driven Approach. Atmosphere. 10(10):568. https://doi.org/10.3390/atmos10100568
2019Lee, H., J. Park, S. Cho, M. Lee, and H.S. Kim. 2019. Impact of leaf area index from various sources on estimating gross primary production in temperate forests using the JULES land surface model. Agricultural and Forest Meteorology. 276-277:107614. https://doi.org/10.1016/j.agrformet.2019.107614
2019Liu, F., X. Wang, and C. Wang. 2019. Autumn phenology of a temperate deciduous forest: Validation of remote sensing approach with decadal leaf-litterfall measurements. Agricultural and Forest Meteorology. 279:107758. https://doi.org/10.1016/j.agrformet.2019.107758
2019McNew, S.M., S.A. Knutie, G.B. Goodman, A. Theodosopoulos, A. Saulsberry, J. Yepez R., S.E. Bush, and D.H. Clayton. 2019. Annual environmental variation influences host tolerance to parasites. Proceedings of the Royal Society B: Biological Sciences. 286(1897):20190049. https://doi.org/10.1098/rspb.2019.0049
2019Mello, C.R., L.F. Avila, H. Lin, M.C.N.S. Terra, and N.A. Chappell. 2019. Water balance in a neotropical forest catchment of southeastern Brazil. CATENA. 173:9-21. https://doi.org/10.1016/j.catena.2018.09.046
2019Milkovic, M., J.M. Paruelo, and M.D. Nosetto. 2019. Hydrological impacts of afforestation in the semiarid Patagonia: A modelling approach. Ecohydrology. https://doi.org/10.1002/eco.2113
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2017Wang, K., S. Jiang, J. Wang, C. Zhou, X. Wang, and X. Lee. 2017. Comparing the diurnal and seasonal variabilities of atmospheric and surface urban heat islands based on the Beijing urban meteorological network. Journal of Geophysical Research: Atmospheres. 122(4):2131-2154. https://doi.org/10.1002/2016JD025304
2017Wang, Y., L. Zhou, Q. Jia, and W. Yu. 2017. Water use efficiency of a rice paddy field in Liaohe Delta, Northeast China. Agricultural Water Management. 187:222-231. https://doi.org/10.1016/j.agwat.2017.03.029
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2017Xu, X., H. Du, G. Zhou, and P. Li. 2017. Method for improvement of MODIS leaf area index products based on pixel-to-pixel correlations. European Journal of Remote Sensing. 49(1):57-72. https://doi.org/10.5721/EuJRS20164904
2017Zhao, H., X. Zhang, S. Zhang, W. Chen, D. Tong, and A. Xiu. 2017. Effects of Agricultural Biomass Burning on Regional Haze in China: A Review. Atmosphere. 8(12):88. https://doi.org/10.3390/atmos8050088
2017Zheng, H., G. Yu, Q. Wang, X. Zhu, J. Yan, H. Wang, P. Shi, F. Zhao, Y. Li, L. Zhao, J. Zhang, and Y. Wang. 2017. Assessing the ability of potential evapotranspiration models in capturing dynamics of evaporative demand across various biomes and climatic regimes with ChinaFLUX measurements. Journal of Hydrology. 551:70-80. https://doi.org/10.1016/j.jhydrol.2017.05.056
2017Zhou, Y., T. Hilker, W. Ju, N.C. Coops, T.A. Black, J.M. Chen, and X. Wu. 2017. Modeling Gross Primary Production for Sunlit and Shaded Canopies Across an Evergreen and a Deciduous Site in Canada. IEEE Transactions on Geoscience and Remote Sensing. 55(4):1859-1873. https://doi.org/10.1109/TGRS.2016.2615102
2017Zoran, M., R. Savastru, and D. Savastru. 2017. Earthquake anomalies recognition through satellite and in-situ monitoring data. European Journal of Remote Sensing. 49(1):1011-1032. https://doi.org/10.5721/EuJRS20164952
2016Al Zayed, I.S., N.A. Elagib, L. Ribbe, and J. Heinrich. 2016. Satellite-based evapotranspiration over Gezira Irrigation Scheme, Sudan: A comparative study. Agricultural Water Management. 177:66-76. https://doi.org/10.1016/j.agwat.2016.06.027
2016Alton, P.B. 2016. The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman-Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm. Agricultural and Forest Meteorology. 218-219:11-24. https://doi.org/10.1016/j.agrformet.2015.11.010
2016Arganaraz, J.P., M.A. Landi, S.J. Bravo, G.I. Gavier-Pizarro, C.M. Scavuzzo, and L.M. Bellis. 2016. Estimation of Live Fuel Moisture Content From MODIS Images for Fire Danger Assessment in Southern Gran Chaco. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(12):5339-5349. https://doi.org/10.1109/JSTARS.2016.2575366
2016Autovino, D., M. Minacapilli, and G. Provenzano. 2016. Modelling bulk surface resistance by MODIS data and assessment of MOD16A2 evapotranspiration product in an irrigation district of Southern Italy. Agricultural Water Management. 167:86-94. https://doi.org/10.1016/j.agwat.2016.01.006
2016Baldi, G., M. Texeira, F. Murray, and E.G. Jobbagy. 2016. Vegetation Productivity in Natural vs. Cultivated Systems along Water Availability Gradients in the Dry Subtropics. PLOS ONE. 11(12):e0168168. https://doi.org/10.1371/journal.pone.0168168
2016Balzarolo, M., S. Vicca, A.L. Nguy-Robertson, D. Bonal, J.A. Elbers, Y.H. Fu, T. Grunwald, J.A. Horemans, D. Papale, J. Penuelas, A. Suyker, and F. Veroustraete. 2016. Matching the phenology of Net Ecosystem Exchange and vegetation indices estimated with MODIS and FLUXNET in-situ observations. Remote Sensing of Environment. 174:290-300. https://doi.org/10.1016/j.rse.2015.12.017
2016Bertolini, T., C.R. Flechard, F. Fattore, G. Nicolini, P. Stefani, S. Materia, R. Valentini, G. Vaglio Laurin, and S. Castaldi. 2016. DRY and BULK atmospheric nitrogen deposition to a West-African humid forest exposed to terrestrial and oceanic sources. Agricultural and Forest Meteorology. 218-219:184-195. https://doi.org/10.1016/j.agrformet.2015.12.026
2016Boke-Olen, N., V. Lehsten, J. Ardo, J. Beringer, L. Eklundh, T. Holst, E. Veenendaal, and T. Tagesson. 2016. Estimating and Analyzing Savannah Phenology with a Lagged Time Series Model. PLOS ONE. 11(4):e0154615. https://doi.org/10.1371/journal.pone.0154615
2016Chen, C., J. Cleverly, L. Zhang, Q. Yu, and D. Eamus. 2016. Modelling Seasonal and Inter-annual Variations in Carbon and Water Fluxes in an Arid-Zone Acacia Savanna Woodland, 1981-2012. Ecosystems. 19(4):625-644. https://doi.org/10.1007/s10021-015-9956-8
2016Cleverly, J., D. Eamus, E. Van Gorsel, C. Chen, R. Rumman, Q. Luo, N.R. Coupe, L. Li, N. Kljun, R. Faux, Q. Yu, and A. Huete. 2016. Productivity and evapotranspiration of two contrasting semiarid ecosystems following the 2011 global carbon land sink anomaly. Agricultural and Forest Meteorology. 220:151-159. https://doi.org/10.1016/j.agrformet.2016.01.086
2016Constantin, S., & Cheval, S. 2016. AUTOMATED GEODATA PROCESSING FOR BLACK SEA INFLUENCE ASSESSMENT ON THE LAND SURFACE TEMPERATURE. Environmental Engineering & Management Journal.
2016Curry, R. A.2016. Impacts of drought on grassland productivity across the wet-dry gradient in the U.S. Great Plains in 2010-2012. Thesis.
2016Curti, R.N., A.J. de la Vega, A.J. Andrade, S.J. Bramardi, and H.D. Bertero. 2016. Adaptive responses of quinoa to diverse agro-ecological environments along an altitudinal gradient in North West Argentina. Field Crops Research. 189:10-18. https://doi.org/10.1016/j.fcr.2016.01.014
2016Davies, C., M. Coetzee, and C.L. Lyons. 2016. Characteristics of Larval Breeding Sites and Insecticide Resistance in theAnopheles gambiaeComplex in Mpumalanga, South Africa. African Entomology. 24(2):421-431. https://doi.org/10.4001/003.024.0421
2016Davies, C.2016. Influence of environmental characteristics on the habitat of and behavioural interactions between Anopheles species in South Africa . Thesis.
2016Delgado-Baquerizo, M., F.T. Maestre, P.B. Reich, T.C. Jeffries, J.J. Gaitan, D. Encinar, M. Berdugo, C.D. Campbell, and B.K. Singh. 2016. Microbial diversity drives multifunctionality in terrestrial ecosystems. Nature Communications. 7(1):. https://doi.org/10.1038/ncomms10541
2016Desai, A.R., G. Wohlfahrt, M.J. Zeeman, G. Katata, W. Eugster, L. Montagnani, D. Gianelle, M. Mauder, and H.P. Schmid. 2016. Montane ecosystem productivity responds more to global circulation patterns than climatic trends. Environmental Research Letters. 11(2):024013. https://doi.org/10.1088/1748-9326/11/2/024013
2016Diaz-Hernandez, J.L. and A. Sanchez-Navas. 2016. Saharan dust outbreaks and iberulite episodes. Journal of Geophysical Research: Atmospheres. 121(12):7064-7078. https://doi.org/10.1002/2016JD024913
2016Dirihan, S., M. Helander, H. Vare, P.E. Gundel, L.A. Garibaldi, J.G.N. Irisarri, I. Saloniemi, and K. Saikkonen. 2016. Geographic Variation in Festuca rubra L. Ploidy Levels and Systemic Fungal Endophyte Frequencies. PLOS ONE. 11(11):e0166264. https://doi.org/10.1371/journal.pone.0166264
2016Esau, I., V.V. Miles, R. Davy, M.W. Miles, and A. Kurchatova. 2016. Trends in normalized difference vegetation index (NDVI) associated with urban development in northern West Siberia. Atmospheric Chemistry and Physics. 16(15):9563-9577. https://doi.org/10.5194/acp-16-9563-2016
2016Fang, Y., G. Sun, P. Caldwell, S.G. McNulty, A. Noormets, J.C. Domec, J. King, Z. Zhang, X. Zhang, G. Lin, G. Zhou, J. Xiao, and J. Chen. 2016. Monthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data. Ecohydrology. 9(2):248-266. https://doi.org/10.1002/eco.1629
2016Ferrer-Paris, J.R., C. Lozano, A. Cardozo-Urdaneta, and A. Thomas Cabianca. 2016. Indicative response of Oxysternon festivum Linne (Coleoptera: Scarabaidae) to vegetation condition in the basin of the Orinoco river, Venezuela. Journal of Insect Conservation. 20(3):527-538. https://doi.org/10.1007/s10841-016-9886-6
2016French, N.H.F., M.A. Whitley, and L.K. Jenkins. 2016. Fire disturbance effects on land surface albedo in Alaskan tundra. Journal of Geophysical Research: Biogeosciences. 121(3):841-854. https://doi.org/10.1002/2015JG003177
2016Gibson, G.R., N.L. Taylor, N.C. Lamo, and J.K. Lackey. 2016. Effects of Recent Instability on Cultivated Area Along the Euphrates River in Iraq. The Professional Geographer. 69(2):163-176. https://doi.org/10.1080/00330124.2016.1194216
2016Glade, F.E., M.D. Miranda, F.J. Meza, and W.J.D. van Leeuwen. 2016. Productivity and phenological responses of natural vegetation to present and future inter-annual climate variability across semi-arid river basins in Chile. Environmental Monitoring and Assessment. 188(12):. https://doi.org/10.1007/s10661-016-5675-7
2016Glenn, E.P., C.J. Jarchow, and W.J. Waugh. 2016. Evapotranspiration dynamics and effects on groundwater recharge and discharge at an arid waste disposal site. Journal of Arid Environments. 133:1-9. https://doi.org/10.1016/j.jaridenv.2016.05.003
2016Gonzalez, M. L.2016. Patterns of groundwater salinization regulated by topography and plant transpiration. Thesis.
2016Graham, S.L., J. Kochendorfer, A.M.S. McMillan, M.J. Duncan, M.S. Srinivasan, and G. Hertzog. 2016. Effects of agricultural management on measurements, prediction, and partitioning of evapotranspiration in irrigated grasslands. Agricultural Water Management. 177:340-347. https://doi.org/10.1016/j.agwat.2016.08.015
2016Guo, Q., Z.m. Hu, S.g. Li, G.r. Yu, X.m. Sun, L.h. Li, N.s. Liang, and W.m. Bai. 2016. Exogenous N addition enhances the responses of gross primary productivity to individual precipitation events in a temperate grassland. Scientific Reports. 6(1):. https://doi.org/10.1038/srep26901
2016Gwate, O., S.K. Mantel, A.R. Palmer, and L.A. Gibson. 2016. Modelling evapotranspiration using the modified Penman-Monteith equation and MODIS data over the Albany Thicket in South Africa . 9998:99980P. https://doi.org/10.1117/12.2245439
2016Hermance, J.F., H.M. Sulieman, and A.G. Mustafa. 2016. Predicting intra-seasonal fluctuations of NDVI phenology from daily rainfall in the East Sahel: a simple linear reservoir model. International Journal of Remote Sensing. 37(14):3293-3321. https://doi.org/10.1080/01431161.2016.1196841
2016Hinojo-Hinojo, C., A.E. Castellanos, J.C. Rodriguez, J. Delgado-Balbuena, J.R. Romo-Leon, H. Celaya-Michel, and T.E. Huxman. 2016. Carbon and Water Fluxes in an Exotic Buffelgrass Savanna. Rangeland Ecology & Management. 69(5):334-341. https://doi.org/10.1016/j.rama.2016.04.002
2016Hopkinson, C., L. Chasmer, A.G. Barr, N. Kljun, T.A. Black, and J.H. McCaughey. 2016. Monitoring boreal forest biomass and carbon storage change by integrating airborne laser scanning, biometry and eddy covariance data. Remote Sensing of Environment. 181:82-95. https://doi.org/10.1016/j.rse.2016.04.010
2016Ismael, H.2016. Monitoring drought trends induced climate variability over Egypt using MODIS NDVI satellite data and Drought Indices. Bulletin of the Egyptian geographical society.
2016Kang, X., Y. Hao, X. Cui, H. Chen, S. Huang, Y. Du, W. Li, P. Kardol, X. Xiao, and L. Cui. 2016. Variability and Changes in Climate, Phenology, and Gross Primary Production of an Alpine Wetland Ecosystem. Remote Sensing. 8(5):391. https://doi.org/10.3390/rs8050391
2016Kross, A., J.W. Seaquist, and N.T. Roulet. 2016. Light use efficiency of peatlands: Variability and suitability for modeling ecosystem production. Remote Sensing of Environment. 183:239-249. https://doi.org/10.1016/j.rse.2016.05.004
2016Kuusk, A., Kuusk, J., & Lang, M. A. I. T.2016. Albedo of the forested landscape at the SMEAR-Estonia research station. Baltic Forestry.
2016Laura, M.M., M.K. Adriana, B. Cecilia, M. La Ludmila, P.Y.D. Cecilia, P. Gabriela, and B. Jose. 2016. Ecological Status of a Patagonian Mountain River: Usefulness of Environmental and Biotic Metrics for Rehabilitation Assessment. Environmental Management. 57(6):1166-1187. https://doi.org/10.1007/s00267-016-0688-0
2016Lepine, L.C., S.V. Ollinger, A.P. Ouimette, and M.E. Martin. 2016. Examining spectral reflectance features related to foliar nitrogen in forests: Implications for broad-scale nitrogen mapping. Remote Sensing of Environment. 173:174-186. https://doi.org/10.1016/j.rse.2015.11.028
2016Lesorogol, C.K. and R.B. Boone. 2016. Which Way Forward? Using simulation models and ethnography to understand changing livelihoods among Kenyan pastoralists in a "new commons". International Journal of the Commons. 10(2):747. https://doi.org/10.18352/ijc.656
2016Li, H., F. Zhang, Y. Li, J. Wang, L. Zhang, L. Zhao, G. Cao, X. Zhao, and M. Du. 2016. Seasonal and inter-annual variations in CO 2 fluxes over 10 years in an alpine shrubland on the Qinghai-Tibetan Plateau, China. Agricultural and Forest Meteorology. 228-229:95-103. https://doi.org/10.1016/j.agrformet.2016.06.020
2016Liu, Y., C. Wu, D. Peng, S. Xu, A. Gonsamo, R.S. Jassal, M. Altaf Arain, L. Lu, B. Fang, and J.M. Chen. 2016. Improved modeling of land surface phenology using MODIS land surface reflectance and temperature at evergreen needleleaf forests of central North America. Remote Sensing of Environment. 176:152-162. https://doi.org/10.1016/j.rse.2016.01.021
2016Lucas, P.M., M. Gonzalez-Suarez, and E. Revilla. 2016. Toward multifactorial null models of range contraction in terrestrial vertebrates. Ecography. 39(11):1100-1108. https://doi.org/10.1111/ecog.01819
2016Mineshita, Yukiko; Muramatu, Kanako; Soyama, Noriko; Thanyapraneedkul, Juthasinee; Daigo, Motomasa2016. Determination of Parameters for Shrubs in the Global GrossPrimary Production Capacity Estimation Algorithm. Journal of The Remote Sensing Society of Japan. 36(3):236-246. https://doi.org/10.11440/rssj.36.236
2016Moore, C.E., T. Brown, T.F. Keenan, R.A. Duursma, A.I.J.M. van Dijk, J. Beringer, D. Culvenor, B. Evans, A. Huete, L.B. Hutley, S. Maier, N. Restrepo-Coupe, O. Sonnentag, A. Specht, J.R. Taylor, E. van Gorsel, and M.J. Liddell. 2016. Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography. Biogeosciences. 13(17):5085-5102. https://doi.org/10.5194/bg-13-5085-2016
2016Nagler, P.L., T.M. Doody, E.P. Glenn, C.J. Jarchow, A. Barreto-Munoz, and K. Didan. 2016. Wide-area estimates of evapotranspiration by red gum (Eucalyptus camaldulensis) and associated vegetation in the Murray-Darling River Basin, Australia. Hydrological Processes. 30(9):1376-1387. https://doi.org/10.1002/hyp.10734
2016Nestola, E., C. Calfapietra, C. Emmerton, C. Wong, D. Thayer, and J. Gamon. 2016. Monitoring Grassland Seasonal Carbon Dynamics, by Integrating MODIS NDVI, Proximal Optical Sampling, and Eddy Covariance Measurements. Remote Sensing. 8(3):260. https://doi.org/10.3390/rs8030260
2016Piazza, M.V., L.A. Garibaldi, T. Kitzberger, and E.J. Chaneton. 2016. Impact of introduced herbivores on understory vegetation along a regional moisture gradient in Patagonian beech forests. Forest Ecology and Management. 366:11-22. https://doi.org/10.1016/j.foreco.2016.01.035
2016Purdy, A.J., J.B. Fisher, M.L. Goulden, and J.S. Famiglietti. 2016. Ground heat flux: An analytical review of 6 models evaluated at 88 sites and globally. Journal of Geophysical Research: Biogeosciences. 121(12):3045-3059. https://doi.org/10.1002/2016JG003591
2016Qu, J., M. Yang, W. Li, Q. Chen, Z. Mi, W. Xu, and Y. Zhang. 2016. Effects of climate change on the reproduction and offspring sex ratio of plateau pika (Ochotona curzoniae) on the Tibetan Plateau. Journal of Arid Environments. 134:66-72. https://doi.org/10.1016/j.jaridenv.2016.06.008
2016Rankine, Cassidy J.2016. Monitoring Seasonal and Secondary Succession Processes in Deciduous Forests using Near-Surface Optical Remote Sensing and Wireless Sensor Networks. Thesis.
2016Rasul, A., H. Balzter, and C. Smith. 2016. Diurnal and Seasonal Variation of Surface Urban Cool and Heat Islands in the Semi-Arid City of Erbil, Iraq. Climate. 4(3):42. https://doi.org/10.3390/cli4030042
2016Rufino, M.C., C. Atzberger, G. Baldi, K. Butterbach-Bahl, T.S. Rosenstock, and D. Stern. 2016. Targeting Landscapes to Identify Mitigation Options in Smallholder Agriculture. 15-36. https://doi.org/10.1007/978-3-319-29794-1_2
2016Savastru, D.M., M.A. Zoran, and R.S. Savastru. 2016. Integrated remote sensing for multi-temporal analysis of urban land cover-climate interactions . 9688:968822. https://doi.org/10.1117/12.2240678
2016Sawalhah, Mohammed N.; Cibils, Andr?s F.; Maladi, Aditya; Cao, Huiping; Vanleeuwen, Dawn M.; Holechek, Jerry L.; Rubio, Christina M. Black; Wesley, Robert L.; Endecott, Rachel L.; Mulliniks, Travis J.; Petersen, Mark K.2016. Forage and Weather Influence Day versus Nighttime Cow Behavior and Calf Weaning Weights on Rangeland. Rangeland Ecology & Management. 69(2):134-143. https://doi.org/10.1016/j.rama.2015.https://doi.org/10.007
2016Schiaffini, M.I. 2016. A test of the Resource's and Bergmann's rules in a widely distributed small carnivore from southern South America, Conepatus chinga (Molina, 1782) (Carnivora: Mephitidae). Mammalian Biology. 81(1):73-81. https://doi.org/10.1016/j.mambio.2014.11.007
2016Song, G., J. Hou, Y. Li, J. Zhang, and N. He. 2016. Leaf Caloric Value from Tropical to Cold-Temperate Forests: Latitudinal Patterns and Linkage to Productivity. PLOS ONE. 11(6):e0157935. https://doi.org/10.1371/journal.pone.0157935
2016Tagesson, T., J. Ardo, I. Guiro, F. Cropley, C. Mbow, S. Horion, A. Ehammer, E. Mougin, C. Delon, C. Galy-Lacaux, and R. Fensholt. 2016. Very high CO2exchange fluxes at the peak of the rainy season in a West African grazed semi-arid savanna ecosystem. Geografisk Tidsskrift-Danish Journal of Geography. 116(2):93-109. https://doi.org/10.1080/00167223.2016.1178072
2016Tan, Z. and J. Jiang. 2016. Spatial-Temporal Dynamics of Wetland Vegetation Related to Water Level Fluctuations in Poyang Lake, China. Water. 8(9):397. https://doi.org/10.3390/w8090397
2016Tang, X., H. Li, X. Xu, J. Luo, X. Li, Z. Ding, and J. Xie. 2016. Potential of MODIS data to track the variability in ecosystem water-use efficiency of temperate deciduous forests. Ecological Engineering. 91:381-391. https://doi.org/10.1016/j.ecoleng.2016.02.022
2016Thomas, E.K., J.P. Briner, J.J. Ryan-Henry, and Y. Huang. 2016. A major increase in winter snowfall during the middle Holocene on western Greenland caused by reduced sea ice in Baffin Bay and the Labrador Sea. Geophysical Research Letters. 43(10):5302-5308. https://doi.org/10.1002/2016GL068513
2016Tillman, F.D., S.M. Wiele, and D.R. Pool. 2016. A comparison of estimates of basin-scale soil-moisture evapotranspiration and estimates of riparian groundwater evapotranspiration with implications for water budgets in the Verde Valley, Central Arizona, USA. Journal of Arid Environments. 124:278-291. https://doi.org/10.1016/j.jaridenv.2015.09.005
2016Tramontana, G., M. Jung, C.R. Schwalm, K. Ichii, G. Camps-Valls, B. Raduly, M. Reichstein, M.A. Arain, A. Cescatti, G. Kiely, L. Merbold, P. Serrano-Ortiz, S. Sickert, S. Wolf, and D. Papale. 2016. Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms. Biogeosciences. 13(14):4291-4313. https://doi.org/10.5194/bg-13-4291-2016
2016Vargas, L., L. Hein, and R.P. Remme. 2016. Accounting for ecosystem assets using remote sensing in the Colombian Orinoco River basin lowlands . 10005:1000510. https://doi.org/10.1117/12.2245293
2016Vepraskas, M., White, J., Richter, D., & Moorberg, C. 2016. Phosphorus Fluxes in a Restored Carolina Bay Wetland Following Eight Years of Restoration. Report.
2016Verrot, L. and G. Destouni. 2016. Data-model comparison of temporal variability in long-term time series of large-scale soil moisture. Journal of Geophysical Research: Atmospheres. 121(17):10,056-10,073. https://doi.org/10.1002/2016JD025209
2016Vicca, S., M. Balzarolo, I. Filella, A. Granier, M. Herbst, A. Knohl, B. Longdoz, M. Mund, Z. Nagy, K. Pinter, S. Rambal, J. Verbesselt, A. Verger, A. Zeileis, C. Zhang, and J. Penuelas. 2016. Remotely-sensed detection of effects of extreme droughts on gross primary production. Scientific Reports. 6(1):. https://doi.org/10.1038/srep28269
2016Wagle, P., P.H. Gowda, X. Xiao, and A. KC. 2016. Parameterizing ecosystem light use efficiency and water use efficiency to estimate maize gross primary production and evapotranspiration using MODIS EVI. Agricultural and Forest Meteorology. 222:87-97. https://doi.org/10.1016/j.agrformet.2016.03.009
2016Wagle, P., Y. Zhang, C. Jin, and X. Xiao. 2016. Comparison of solar-induced chlorophyll fluorescence, light-use efficiency, and process-based GPP models in maize. Ecological Applications. 26(4):1211-1222. https://doi.org/10.1890/15-1434
2016Wang, Y., X. Tang, L. Yu, X. Hou, and J.W. Munger. 2016. Comparison of net ecosystem carbon exchange estimation in a mixed temperate forest using field eddy covariance and MODIS data. SpringerPlus. 5(1):. https://doi.org/10.1186/s40064-016-2134-4
2016Wehlage, D., J. Gamon, D. Thayer, and D. Hildebrand. 2016. Interannual Variability in Dry Mixed-Grass Prairie Yield: A Comparison of MODIS, SPOT, and Field Measurements. Remote Sensing. 8(10):872. https://doi.org/10.3390/rs8100872
2016Wijayanti, S.P.M., T. Porphyre, M. Chase-Topping, S.M. Rainey, M. McFarlane, E. Schnettler, R. Biek, and A. Kohl. 2016. The Importance of Socio-Economic Versus Environmental Risk Factors for Reported Dengue Cases in Java, Indonesia. PLOS Neglected Tropical Diseases. 10(9):e0004964. https://doi.org/10.1371/journal.pntd.0004964
2016Xie, J., J. Chen, G. Sun, T. Zha, B. Yang, H. Chu, J. Liu, S. Wan, C. Zhou, H. Ma, C.P.A. Bourque, C. Shao, R. John, and Z. Ouyang. 2016. Ten-year variability in ecosystem water use efficiency in an oak-dominated temperate forest under a warming climate. Agricultural and Forest Meteorology. 218-219:209-217. https://doi.org/10.1016/j.agrformet.2015.12.059
2016Zanella De Arruda, P.H., G.L. Vourlitis, F.B. Santanna, O.B. Pinto Jr., F. De Almeida Lobo, and J. De Souza Nogueira. 2016. Large net CO2 loss from a grass-dominated tropical savanna in south-central Brazil in response to seasonal and interannual drought. Journal of Geophysical Research: Biogeosciences. 121(8):2110-2124. https://doi.org/10.1002/2016JG003404
2016Zaninovich, S.C., J.L. Fontana, and M.G. Gatti. 2016. Atlantic Forest replacement by non-native tree plantations: Comparing aboveground necromass between native forest and pine plantation ecosystems. Forest Ecology and Management. 363:39-46. https://doi.org/10.1016/j.foreco.2015.12.022
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2015Zoran, M.A., R.S. Savastru, and D.M. Savastru. 2015. An Integrated Geospatial System for earthquake precursors assessment in Vrancea tectonic active zone in Romania. 9644:96441R. https://doi.org/10.1117/12.2194296
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2015Zoran, M.A., R.S. Savastru, D.M. Savastru, M.N. Tautan, and L.V. Baschir. 2015. Urban green spatio- temporal changes assessment through time-series satellite data. 9644:96441Q. https://doi.org/10.1117/12.2194294
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2014Blanken, P.D. 2014. The effect of winter drought on evaporation from a high-elevation wetland. Journal of Geophysical Research: Biogeosciences. 119(7):1354-1369. https://doi.org/10.1002/2014JG002648
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2014Chen, T.2014. Terrestrial plant productivity and soil moisture constraints. Thesis.
2014Chen, Y., J. Xia, S. Liang, J. Feng, J.B. Fisher, X. Li, X. Li, S. Liu, Z. Ma, A. Miyata, Q. Mu, L. Sun, J. Tang, K. Wang, J. Wen, Y. Xue, G. Yu, T. Zha, L. Zhang, Q. Zhang, T. Zhao, L. Zhao, and W. Yuan. 2014. Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China. Remote Sensing of Environment. 140:279-293. https://doi.org/10.1016/j.rse.2013.08.045
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2014Coleman, B.T. and R.A. Hill. 2014. Biogeographic Variation in the Diet and Behaviour of Cercopithecus mitis. Folia Primatologica. 85(5):319-334. https://doi.org/10.1159/000368895
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2014Darmawan, Yahya and Sofan, Parwati. (2014) Comparison of the vegetation indices to detect the tropical rain forest changes using breaks for additive seasonal and trend (BFAST) model. International Journal of Remote Sensing and Earth Sciences (IJReSES). 9(1).
2014De Keersmaecker, W., S. Lhermitte, O. Honnay, J. Farifteh, B. Somers, and P. Coppin. 2014. How to measure ecosystem stability? An evaluation of the reliability of stability metrics based on remote sensing time series across the major global ecosystems. Global Change Biology. 20(7):2149-2161. https://doi.org/10.1111/gcb.12495
2014Destouni, G. and L. Verrot. 2014. Screening long-term variability and change of soil moisture in a changing climate. Journal of Hydrology. 516:131-139. https://doi.org/10.1016/j.jhydrol.2014.01.059
2014Dreps, C., A.L. James, G. Sun, and J. Boggs. 2014. Water Balances of Two Piedmont Headwater Catchments: Implications for Regional Hydrologic Landscape Classification. JAWRA Journal of the American Water Resources Association. 50(4):1063-1079. https://doi.org/10.1111/jawr.12173
2014Ernakovich, J.G., K.A. Hopping, A.B. Berdanier, R.T. Simpson, E.J. Kachergis, H. Steltzer, and M.D. Wallenstein. 2014. Predicted responses of arctic and alpine ecosystems to altered seasonality under climate change. Global Change Biology. 20(10):3256-3269. https://doi.org/10.1111/gcb.12568
2014Ershadi, A., M.F. McCabe, J.P. Evans, N.W. Chaney, and E.F. Wood. 2014. Multi-site evaluation of terrestrial evaporation models using FLUXNET data. Agricultural and Forest Meteorology. 187:46-61. https://doi.org/10.1016/j.agrformet.2013.11.008
2014Face-Collins, M. S. 2014. Evaluation of selected spectral vegetation indices in senescent rangeland canopy using Landsat imagery. Thesis.
2014Fang, S., Y. Le, Q. Liang, and X. Liu. 2014. Leaf Area Index Estimation Using Time-Series MODIS Data in Different Types of Vegetation. Journal of the Indian Society of Remote Sensing. 42(4):733-743. https://doi.org/10.1007/s12524-013-0349-1
2014Farhadi, L., D. Entekhabi, G. Salvucci, and J. Sun. 2014. Estimation of land surface water and energy balance parameters using conditional sampling of surface states. Water Resources Research. 50(2):1805-1822. https://doi.org/10.1002/2013WR014049
2014Florio, E.L., J.L. Mercau, E.G. Jobbagy, and M.D. Nosetto. 2014. Interactive effects of water-table depth, rainfall variation, and sowing date on maize production in the Western Pampas. Agricultural Water Management. 146:75-83. https://doi.org/10.1016/j.agwat.2014.07.022
2014Gao, Y., G. Yu, H. Yan, X. Zhu, S. Li, Q. Wang, J. Zhang, Y. Wang, Y. Li, L. Zhao, and P. Shi. 2014. A MODIS-based Photosynthetic Capacity Model to estimate gross primary production in Northern China and the Tibetan Plateau. Remote Sensing of Environment. 148:108-118. https://doi.org/10.1016/j.rse.2014.03.006
2014Gonsamo, A. and J.M. Chen. 2014. Continuous observation of leaf area index at Fluxnet-Canada sites. Agricultural and Forest Meteorology. 189-190:168-174. https://doi.org/10.1016/j.agrformet.2014.01.016
2014Gonsamo, A. and J.M. Chen. 2014. Improved LAI Algorithm Implementation to MODIS Data by Incorporating Background, Topography, and Foliage Clumping Information. IEEE Transactions on Geoscience and Remote Sensing. 52(2):1076-1088. https://doi.org/10.1109/TGRS.2013.2247405
2014Goulden, M.L. and R.C. Bales. 2014. Mountain runoff vulnerability to increased evapotranspiration with vegetation expansion. Proceedings of the National Academy of Sciences. 111(39):14071-14075. https://doi.org/10.1073/pnas.1319316111
2014Griffith, D.J., A. Ramkilowan, D. Sprung, E. Sucher, C.J. Willers, G.J.R. Coetzee, and R. van Staden. 2014. Exploration of satellite-derived data products for atmospheric turbulence studies. 9242:92421J. https://doi.org/10.1117/12.2071893
2014Guarini, R., C. Nichol, R. Clement, R. Loizzo, J. Grace, and M. Borghetti. 2014. The utility of MODIS-sPRI for investigating the photosynthetic light-use efficiency in a Mediterranean deciduous forest. International Journal of Remote Sensing. 35(16):6157-6172. https://doi.org/10.1080/01431161.2014.950762
2014Helman, D., I.M. Lensky, A. Mussery, and S. Leu. 2014. Rehabilitating degraded drylands by creating woodland islets: Assessing long-term effects on aboveground productivity and soil fertility. Agricultural and Forest Meteorology. 195-196:52-60. https://doi.org/10.1016/j.agrformet.2014.05.003
2014Jacques, D.C., L. Kergoat, P. Hiernaux, E. Mougin, and P. Defourny. 2014. Monitoring dry vegetation masses in semi-arid areas with MODIS SWIR bands. Remote Sensing of Environment. 153:40-49. https://doi.org/10.1016/j.rse.2014.07.027
2014Jagermeyr, J., D. Gerten, W. Lucht, P. Hostert, M. Migliavacca, and R. Nemani. 2014. A high-resolution approach to estimating ecosystem respiration at continental scales using operational satellite data. Global Change Biology. 20(4):1191-1210. https://doi.org/10.1111/gcb.12443
2014Jang, W., C.R. Keyes, S.W. Running, J.H. Lim, and P.S. Park. 2014. Climate-growth relationships of relictPicea jezoensisat Mt. Gyebang, South Korea. Forest Science and Technology. 11(1):19-26. https://doi.org/10.1080/21580103.2014.940001
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2014Joiner, J., Y. Yoshida, A.P. Vasilkov, K. Schaefer, M. Jung, L. Guanter, Y. Zhang, S. Garrity, E.M. Middleton, K.F. Huemmrich, L. Gu, and L. Belelli Marchesini. 2014. The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange. Remote Sensing of Environment. 152:375-391. https://doi.org/10.1016/j.rse.2014.06.022
2014Jorgensen, S.V., F. Cherubini, and O. Michelsen. 2014. Biogenic CO 2 fluxes, changes in surface albedo and biodiversity impacts from establishment of a miscanthus plantation. Journal of Environmental Management. 146:346-354. https://doi.org/10.1016/j.jenvman.2014.06.033
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2014Knoche, M., C. Fischer, E. Pohl, P. Krause, and R. Merz. 2014. Combined uncertainty of hydrological model complexity and satellite-based forcing data evaluated in two data-scarce semi-arid catchments in Ethiopia. Journal of Hydrology. 519:2049-2066. https://doi.org/10.1016/j.jhydrol.2014.10.003
2014Kuusinen, N., E. Tomppo, Y. Shuai, and F. Berninger. 2014. Effects of forest age on albedo in boreal forests estimated from MODIS and Landsat albedo retrievals. Remote Sensing of Environment. 145:145-153. https://doi.org/10.1016/j.rse.2014.02.005
2014Ladd, B., P.L. Peri, D.A. Pepper, L.C.R. Silva, D. Sheil, S.P. Bonser, S.W. Laffan, W. Amelung, A. Ekblad, P. Eliasson, H. Bahamonde, S. Duarte-Guardia, and M. Bird. 2014. Carbon isotopic signatures of soil organic matter correlate with leaf area index across woody biomes. Journal of Ecology. 102(6):1606-1611. https://doi.org/10.1111/1365-2745.12309
2014Leon, E., A. Beltzer, and M. Quiroga. 2014. El jilguero dorado (Sicalis flaveola) modifica la estructura de sus vocalizaciones para adaptarse a habitats urbanos. Revista Mexicana de Biodiversidad. 85(2):546-552. https://doi.org/10.7550/rmb.32123
2014Leon, E., R. Vargas, S. Bullock, E. Lopez, A.R. Panosso, and N. La Scala. 2014. Hot spots, hot moments, and spatio-temporal controls on soil CO2 efflux in a water-limited ecosystem. Soil Biology and Biochemistry. 77:12-21. https://doi.org/10.1016/j.soilbio.2014.05.029
2014Leong, M.2014. Bees in a Changing World: How land surface phenology, bee community distributions, and pollinator-plant interactions are impacted by urbanization and agriculture. Thesis.
2014Li, X., S. Liang, W. Yuan, G. Yu, X. Cheng, Y. Chen, T. Zhao, J. Feng, Z. Ma, M. Ma, S. Liu, J. Chen, C. Shao, S. Li, X. Zhang, Z. Zhang, G. Sun, S. Chen, T. Ohta, A. Varlagin, A. Miyata, K. Takagi, N. Saiqusa, and T. Kato. 2014. Estimation of evapotranspiration over the terrestrial ecosystems in China. Ecohydrology. 7(1):139-149. https://doi.org/10.1002/eco.1341
2014Lukes, P., M. Rautiainen, T. Manninen, P. Stenberg, and M. Mottus. 2014. Geographical gradients in boreal forest albedo and structure in Finland. Remote Sensing of Environment. 152:526-535. https://doi.org/10.1016/j.rse.2014.06.023
2014Mallick, K., A.J. Jarvis, E. Boegh, J.B. Fisher, D.T. Drewry, K.P. Tu, S.J. Hook, G. Hulley, J. Ardo, J. Beringer, A. Arain, and D. Niyogi. 2014. A Surface Temperature Initiated Closure (STIC) for surface energy balance fluxes. Remote Sensing of Environment. 141:243-261. https://doi.org/10.1016/j.rse.2013.10.022
2014Mayo, C.E., C.J. Osborne, B.A. Mullens, A.C. Gerry, I.A. Gardner, W.K. Reisen, C.M. Barker, and N.J. MacLachlan. 2014. Seasonal Variation and Impact of Waste-Water Lagoons as Larval Habitat on the Population Dynamics of Culicoides sonorensis (Diptera:Ceratpogonidae) at Two Dairy Farms in Northern California. PLoS ONE. 9(2):e89633. https://doi.org/10.1371/journal.pone.0089633
2014Mbufong, H.N., M. Lund, M. Aurela, T.R. Christensen, W. Eugster, T. Friborg, B.U. Hansen, E.R. Humphreys, M. Jackowicz-Korczynski, L. Kutzbach, P.M. Lafleur, W.C. Oechel, F.J.W. Parmentier, D.P. Rasse, A.V. Rocha, T. Sachs, M.K. van der Molen, and M.P. Tamstorf. 2014. Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization. Biogeosciences. 11(17):4897-4912. https://doi.org/10.5194/bg-11-4897-2014
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2014Newbold, T., L.N. Hudson, H.R.P. Phillips, S.L.L. Hill, S. Contu, I. Lysenko, A. Blandon, S.H.M. Butchart, H.L. Booth, J. Day, A. De Palma, M.L.K. Harrison, L. Kirkpatrick, E. Pynegar, A. Robinson, J. Simpson, G.M. Mace, J.P.W. Scharlemann, and A. Purvis. 2014. A global model of the response of tropical and sub-tropical forest biodiversity to anthropogenic pressures. Proceedings of the Royal Society B: Biological Sciences. 281(1792):20141371-20141371. https://doi.org/10.1098/rspb.2014.1371
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2014Ouyang, Z., J. Chen, R. Becker, H. Chu, J. Xie, C. Shao, and R. John. 2014. Disentangling the confounding effects of PAR and air temperature on net ecosystem exchange at multiple time scales. Ecological Complexity. 19:46-58. https://doi.org/10.1016/j.ecocom.2014.04.005
2014Peng, D.L., B. Zhou, C.J. Li, W.J. Huang, Y.P. Wu, and X.H. Yang. 2014. Phenological characteristics of the main vegetation types on the Tibetan Plateau based on vegetation and water indices. IOP Conference Series: Earth and Environmental Science. 17:012077. https://doi.org/10.1088/1755-1315/17/1/012077
2014Portillo-Quintero, C., A. Sanchez-Azofeifa, and D. Culvenor. 2014. Using VEGNET In-Situ Monitoring LiDAR (IML) to Capture Dynamics of Plant Area Index, Structure and Phenology in Aspen Parkland Forests in Alberta, Canada. Forests. 5(5):1053-1068. https://doi.org/10.3390/f5051053
2014Potter, C. 2014. Monitoring the production of Central California coastal rangelands using satellite remote sensing. Journal of Coastal Conservation. 18(3):213-220. https://doi.org/10.1007/s11852-014-0308-1
2014Prichard, S. 2014. Modeling Regional-Scale Wildland Fire Emissions with the Wildland Fire Emissions Information System*. Earth Interactions. 18(16):26-Jan. https://doi.org/10.1175/EI-D-14-0002.1
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2014Sawalhah, M.N., A.F. Cibils, C. Hu, H. Cao, and J.L. Holechek. 2014. Animal-Driven Rotational Grazing Patterns on Seasonally Grazed New Mexico Rangeland. Rangeland Ecology & Management. 67(6):710-714. https://doi.org/10.2111/REM-D-14-00047.1
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2012Meiyappan, P. and A.K. Jain. 2012. Three distinct global estimates of historical land-cover change and land-use conversions for over 200 years. Frontiers of Earth Science. 6(2):122-139. https://doi.org/10.1007/s11707-012-0314-2
2012Mexicano Vargas, M. D. L. 2012. Remote Sensing Methods To Classify a Desert Wetland. Thesis.
2012Meyer, S., R.M. Bright, D. Fischer, H. Schulz, and B. Glaser. 2012. Albedo Impact on the Suitability of Biochar Systems To Mitigate Global Warming. Environmental Science & Technology. 46(22):12726-12734. https://doi.org/10.1021/es302302g
2012Miller, P.A. and B. Smith. 2012. Modelling Tundra Vegetation Response to Recent Arctic Warming. AMBIO. 41(S3):281-291. https://doi.org/10.1007/s13280-012-0306-1
2012MORENO-GUTIERREZ, C., G. BATTIPAGLIA, P. CHERUBINI, M. SAURER, E. NICOLAS, S. CONTRERAS, and J.I. QUEREJETA. 2012. Stand structure modulates the long-term vulnerability of Pinus halepensis to climatic drought in a semiarid Mediterranean ecosystem. Plant, Cell & Environment. 35(6):1026-1039. https://doi.org/10.1111/j.1365-3040.2011.02469.x
2012Mou, M.-J., Zhu, W.-Q., Wang, L.-L., Xu, Y.-J., & Liu, J.-H; (2012). Evaluation of remote sensing extraction methods for vegetation phenology based on flux tower net ecosystem carbon exchange data. Chinese Journal of Applied Ecology. 23 (2): 319-327.
2012Munyati, C. and G. Mboweni. 2012. Variation in NDVI values with change in spatial resolution for semi-arid savanna vegetation: a case study in northwestern South Africa. International Journal of Remote Sensing. 34(7):2253-2267. https://doi.org/10.1080/01431161.2012.743692
2012Muraoka, H., R. Ishii, S. Nagai, R. Suzuki, T. Motohka, H.M. Noda, M. Hirota, K.N. Nasahara, H. Oguma, and K. Muramatsu. 2012. Linking Remote Sensing and In Situ Ecosystem/Biodiversity Observations by "Satellite Ecology". 277-308. https://doi.org/10.1007/978-4-431-54032-8_21
2012Nagler, P.L., T. Brown, K.R. Hultine, C. van Riper, D.W. Bean, P.E. Dennison, R.S. Murray, and E.P. Glenn. 2012. Regional scale impacts of Tamarix leaf beetles (Diorhabda carinulata) on the water availability of western U.S. rivers as determined by multi-scale remote sensing methods. Remote Sensing of Environment. 118:227-240. https://doi.org/10.1016/j.rse.2011.11.011
2012Neal, A.; (2012). Soil Moisture Controls on Spatial and Temporal Patterns of Carbon Dioxide Fluxes in Drylands. Hydrology, The University of Arizona.
2012Nicolas Campos, A. and C. Marcelo Di Bella. 2012. Multi-Temporal Analysis of Remotely Sensed Information Using Wavelets. Journal of Geographic Information System. 04(04):383-391. https://doi.org/10.4236/jgis.2012.44044
2012Nosetto, M.D., E.G. Jobbagy, A.B. Brizuela, and R.B. Jackson. 2012. The hydrologic consequences of land cover change in central Argentina. Agriculture, Ecosystems & Environment. 154:2-11. https://doi.org/10.1016/j.agee.2011.01.008
2012Olsson, P.O., A.M. Jonsson, and L. Eklundh. 2012. A new invasive insect in Sweden - Physokermes inopinatus: Tracing forest damage with satellite based remote sensing. Forest Ecology and Management. 285:29-37. https://doi.org/10.1016/j.foreco.2012.08.003
2012Phillips, R.L., M.K. Ngugi, J. Hendrickson, A. Smith, and M. West. 2012. Mixed-Grass Prairie Canopy Structure and Spectral Reflectance Vary with Topographic Position. Environmental Management. 50(5):914-928. https://doi.org/10.1007/s00267-012-9931-5
2012Qi, Y., P.E. Dennison, J. Spencer, and D. Riano. 2012. MONITORING LIVE FUEL MOISTURE USING SOIL MOISTURE AND REMOTE SENSING PROXIES. Fire Ecology. 8(3):71-87. https://doi.org/10.4996/fireecology.0803071
2012Rincon-Romero, M. E., Jarvis, A., & Mulligan, M.; (2012). Cobertura vegetal de Colombia actualizada a partir de imagenes MODIS disponible a través de Renata. e-Colabora. 2 (4): 41635.
2012Ryu, Y., J. Verfaillie, C. Macfarlane, H. Kobayashi, O. Sonnentag, R. Vargas, S. Ma, and D.D. Baldocchi. 2012. Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras. Remote Sensing of Environment. 126:116-125. https://doi.org/10.1016/j.rse.2012.08.027
2012S.K. Barik, D. Adhikari, E. Kharlynghoh.2012. Ecological Impact Assessment and Predictive Modeling of Bamboo Flowering. Bamboo Flowering and Rodent Control (pp.79-95)Edition: 1stChapter: Ecological Impact Assessment and Predictive Modeling of Bamboo Flowering.
2012Schaefer, K., C.R. Schwalm, C. Williams, M.A. Arain, A. Barr, J.M. Chen, K.J. Davis, D. Dimitrov, T.W. Hilton, D.Y. Hollinger, E. Humphreys, B. Poulter, B.M. Raczka, A.D. Richardson, A. Sahoo, P. Thornton, R. Vargas, H. Verbeeck, R. Anderson, I. Baker, T.A. Black, P. Bolstad, J. Chen, P.S. Curtis, A.R. Desai, M. Dietze, D. Dragoni, C. Gough, R.F. Grant, L. Gu, A. Jain, C. Kucharik, B. Law, S. Liu, E. Lokipitiya, H.A. Margolis, R. Matamala, J.H. McCaughey, R. Monson, J.W. Munger, W. Oechel, C. Peng, D.T. Price, D. Ricciuto, W.J. Riley, N. Roulet, H. Tian, C. Tonitto, M. Torn, E. Weng, and X. Zhou. 2012. A model-data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research: Biogeosciences. 117(G3):n/a-n/a. https://doi.org/10.1029/2012JG001960
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2012Scott, R.L., P. Serrano-Ortiz, F. Domingo, E.P. Hamerlynck, and A.S. Kowalski. 2012. Commonalities of carbon dioxide exchange in semiarid regions with monsoon and Mediterranean climates. Journal of Arid Environments. 84:71-79. https://doi.org/10.1016/j.jaridenv.2012.03.017
2012Sus, O., M.W. Heuer, T.P. Meyers, and M. Williams. 2012. A data assimilation framework for constraining upscaled cropland carbon flux seasonality and biometry with MODIS. Biogeosciences Discussions. 9(8):11139-11177. https://doi.org/10.5194/bgd-9-11139-2012
2012Tagesson, T., M. Mastepanov, M.P. Tamstorf, L. Eklundh, P. Schubert, A. Ekberg, C. Sigsgaard, T.R. Christensen, and L. Strom. 2012. High-resolution satellite data reveal an increase in peak growing season gross primary production in a high-Arctic wet tundra ecosystem 1992-2008. International Journal of Applied Earth Observation and Geoinformation. 18:407-416. https://doi.org/10.1016/j.jag.2012.03.016
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2012Tereshchenko, I., A.N. Zolotokrylin, T.B. Titkova, L. Brito-Castillo, and C.O. Monzon. 2012. Seasonal Variation of Surface Temperature-Modulating Factors in the Sonoran Desert in Northwestern Mexico. Journal of Applied Meteorology and Climatology. 51(8):1519-1530. https://doi.org/10.1175/JAMC-D-11-0160.1
2012Thanyapraneedkul, J., K. Muramatsu, M. Daigo, S. Furumi, N. Soyama, K. Nasahara, H. Muraoka, H. Noda, S. Nagai, T. Maeda, M. Mano, and Y. Mizoguchi. 2012. A Vegetation Index to Estimate Terrestrial Gross Primary Production Capacity for the Global Change Observation Mission-Climate (GCOM-C)/Second-Generation Global Imager (SGLI) Satellite Sensor. Remote Sensing. 4(12):3689-3720. https://doi.org/10.3390/rs4123689
2012Tillman, F.D., J.B. Callegary, P.L. Nagler, and E.P. Glenn. 2012. A simple method for estimating basin-scale groundwater discharge by vegetation in the basin and range province of Arizona using remote sensing information and geographic information systems. Journal of Arid Environments. 82:44-52. https://doi.org/10.1016/j.jaridenv.2012.02.010
2012Tuck, S.; (2012). Modelling the relationship between local biodiversity and remotely-sensed vegetation indices: the effect of spatio-temporal scale. Quantitative Biology, Imperial College, London.
2012Vegas Galdos, F., C. Alvarez, A. Garcia, and J.A. Revilla. 2012. Estimated distributed rainfall interception using a simple conceptual model and Moderate Resolution Imaging Spectroradiometer (MODIS). Journal of Hydrology. 468-469:213-228. https://doi.org/10.1016/j.jhydrol.2012.08.043
2012Wang, H., M. Ma, X. Wang, W. Yuan, Y. Song, J. Tan, and G. Huang. 2012. Seasonal variation of vegetation productivity over an alpine meadow in the Qinghai-Tibet Plateau in China: modeling the interactions of vegetation productivity, phenology, and the soil freeze-thaw process. Ecological Research. 28(2):271-282. https://doi.org/10.1007/s11284-012-1015-8
2012Wang, Y. and G. Zhou. 2012. Light Use Efficiency over Two Temperate Steppes in Inner Mongolia, China. PLoS ONE. 7(8):e43614. https://doi.org/10.1371/journal.pone.0043614
2012Wehlage, D. C.2012. Monitoring year-to-year variability in dry mixed-grass prairie yield using multi-sensor remote sensing. Thesis. https://doi.org/10.7939/R3WS5R
2012Yan, H., S.Q. Wang, D. Billesbach, W. Oechel, J.H. Zhang, T. Meyers, T.A. Martin, R. Matamala, D. Baldocchi, G. Bohrer, D. Dragoni, and R. Scott. 2012. Global estimation of evapotranspiration using a leaf area index-based surface energy and water balance model. Remote Sensing of Environment. 124:581-595. https://doi.org/10.1016/j.rse.2012.06.004
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2012Zoran, M. 2012. MODIS and NOAA-AVHRR l and surface temperature data detect a thermal anomaly preceding the 11 March 2011 Tohoku earthquake. International Journal of Remote Sensing. 33(21):6805-6817. https://doi.org/10.1080/01431161.2012.692833
2012Zoran, M.A., R.S. Savastru, and D.M. Savastru. 2012. Analysis of time series geospatial data for seismic precursors detection in Vrancea zone. 8538:853809. https://doi.org/10.1117/12.974413
2012Zoran, M.A., R.S. Savastru, D.M. Savastru, S.I. Miclos, M.N. Tautan, and L.V. Baschir. 2012. Thermal pollution assessment in nuclear power plant environment by satellite remote sensing data. 8531:853120. https://doi.org/10.1117/12.974402
2011Adachi, M., A. Ito, A. Ishida, W.R. Kadir, P. Ladpala, and Y. Yamagata. 2011. Carbon budget of tropical forests in Southeast Asia and the effects of deforestation: an approach using a process-based model and field measurements. Biogeosciences. 8(9):2635-2647. https://doi.org/10.5194/bg-8-2635-2011
2011Allard, S.2011. Data Citation: Supporting scholarly activity, encouraging data sharing. Trace: Tennessee Research and Creative Exchange.
2011Chen, M., Q. Zhuang, D.R. Cook, R. Coulter, M. Pekour, R.L. Scott, J.W. Munger, and K. Bible. 2011. Quantification of terrestrial ecosystem carbon dynamics in the conterminous United States combining a process-based biogeochemical model and MODIS and AmeriFlux data. Biogeosciences. 8(9):2665-2688. https://doi.org/10.5194/bg-8-2665-2011
2011Chen, T., G.R. van der Werf, A.J. Dolman, and M. Groenendijk. 2011. Evaluation of cropland maximum light use efficiency using eddy flux measurements in North America and Europe. Geophysical Research Letters. 38(14):n/a-n/a. https://doi.org/10.1029/2011GL047533
2011Gallo, K., R. Hale, D. Tarpley, and Y. Yu. 2011. Evaluation of the Relationship between Air and Land Surface Temperature under Clear- and Cloudy-Sky Conditions. Journal of Applied Meteorology and Climatology. 50(3):767-775. https://doi.org/10.1175/2010JAMC2460.1
2011Glenn, E.P., T.M. Doody, J.P. Guerschman, A.R. Huete, E.A. King, T.R. McVicar, A.I.J.M. Van Dijk, T.G. Van Niel, M. Yebra, and Y. Zhang. 2011. Actual evapotranspiration estimation by ground and remote sensing methods: the Australian experience. Hydrological Processes. 25(26):4103-4116. https://doi.org/10.1002/hyp.8391
2011Groenendijk, M., A.J. Dolman, M.K. van der Molen, R. Leuning, A. Arneth, N. Delpierre, J.H.C. Gash, A. Lindroth, A.D. Richardson, H. Verbeeck, and G. Wohlfahrt. 2011. Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data. Agricultural and Forest Meteorology. 151(1):22-38. https://doi.org/10.1016/j.agrformet.2010.08.013
2011Horn, J.E. and K. Schulz. 2011. Identification of a general light use efficiency model for gross primary production. Biogeosciences. 8(4):999-1021. https://doi.org/10.5194/bg-8-999-2011
2011Horn, J.E. and K. Schulz. 2011. Spatial extrapolation of light use efficiency model parameters to predict gross primary production. Journal of Advances in Modeling Earth Systems. 3(4):. https://doi.org/10.1029/2011MS000070
2011Horn, Judith2011. Development and Extrapolation of a General Light Use Efficiency Model for the Gross Primary Production. Thesis.
2011Leng, P., X. Song, and Z. Li. 2011. Estimation of net surface shortwave radiation from land surface temperature in regional scale. Wuhan University Journal of Natural Sciences. 16(4):357-362. https://doi.org/10.1007/s11859-011-0763-6
2011Lhermitte, S., J. Verbesselt, W.W. Verstraeten, and P. Coppin. 2011. A comparison of time series similarity measures for classification and change detection of ecosystem dynamics. Remote Sensing of Environment. 115(12):3129-3152. https://doi.org/10.1016/j.rse.2011.06.020
2011Liang, L., M.D. Schwartz, and S. Fei. 2011. Validating satellite phenology through intensive ground observation and landscape scaling in a mixed seasonal forest. Remote Sensing of Environment. 115(1):143-157. https://doi.org/10.1016/j.rse.2010.08.013
2011Litvak, M. E., Schwinning, S., & Heilman, J. L.2011. Woody Plant Rooting Depth and Ecosystem Function of Savannas: A Case Study from the Edwards Plateau Karst, Texas. Ecosystem Function in Global Savannas: Measurement and Modeling at Landscape to Global Scales.
2011Lucht, W.2011. A Continental?Scale Estimate of Ecosystem Respiration Using MODIS Land Surface Temperature and Enhanced Vegetation Index. Thesis.
2011Ma, S., G. Churkina, and K. Trusilova. 2011. Investigating the impact of climate change on crop phenological events in Europe with a phenology model. International Journal of Biometeorology. 56(4):749-763. https://doi.org/10.1007/s00484-011-0478-6
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2011Sea, W.B., P. Choler, J. Beringer, R.A. Weinmann, L.B. Hutley, and R. Leuning. 2011. Documenting improvement in leaf area index estimates from MODIS using hemispherical photos for Australian savannas. Agricultural and Forest Meteorology. 151(11):1453-1461. https://doi.org/10.1016/j.agrformet.2010.12.006
2011Solano Barajas, R.2011. Development and Evaluation of a MODIS Vegetation Index Compositing Algorithm for Long-term Climate Studies. Thesis.
2011Tang, X., D. Liu, K. Song, J.W. Munger, B. Zhang, and Z. Wang. 2011. A new model of net ecosystem carbon exchange for the deciduous-dominated forest by integrating MODIS and flux data. Ecological Engineering. 37(10):1567-1571. https://doi.org/10.1016/j.ecoleng.2011.03.030
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2011Xiao, J., K.J. Davis, N.M. Urban, K. Keller, and N.Z. Saliendra. 2011. Upscaling carbon fluxes from towers to the regional scale: Influence of parameter variability and land cover representation on regional flux estimates. Journal of Geophysical Research. 116(G3):. https://doi.org/10.1029/2010JG001568
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2010Bradley, E.S., M.P. Toomey, C.J. Still, and D.A. Roberts. 2010. Multi-Scale Sensor Fusion With an Online Application: Integrating GOES, MODIS, and Webcam Imagery for Environmental Monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 3(4):497-506. https://doi.org/10.1109/JSTARS.2010.2048419
2010Choler, P., W. Sea, P. Briggs, M. Raupach, and R. Leuning. 2010. A simple ecohydrological model captures essentials of seasonal leaf dynamics in semi-arid tropical grasslands. Biogeosciences. 7(3):907-920. https://doi.org/10.5194/bg-7-907-2010
2010Hanes, J.M. and M.D. Schwartz. 2010. Modeling land surface phenology in a mixed temperate forest using MODIS measurements of leaf area index and land surface temperature. Theoretical and Applied Climatology. 105(1-2):37-50. https://doi.org/10.1007/s00704-010-0374-8
2010Harris, A. and J. Dash. 2010. The potential of the MERIS Terrestrial Chlorophyll Index for carbon flux estimation. Remote Sensing of Environment. 114(8):1856-1862. https://doi.org/10.1016/j.rse.2010.03.010
2010Hess, S. Tim Boucher, Andriy Dabrovskyy, E. Ter Hoorn, and P.Van Beukering.2010. Evaluating the effectiveness of community-based conservation in Mongolia?s Gobi desert. Report.
2010Horn, J. 2010. Post-processing analysis of MODIS leaf area index subsets. Journal of Applied Remote Sensing. 4(1):043557. https://doi.org/10.1117/1.3524265
2010Ichii, K., T. Suzuki, T. Kato, A. Ito, T. Hajima, M. Ueyama, T. Sasai, R. Hirata, N. Saigusa, Y. Ohtani, and K. Takagi. 2010. Multi-model analysis of terrestrial carbon cycles in Japan: limitations and implications of model calibration using eddy flux observations. Biogeosciences. 7(7):2061-2080. https://doi.org/10.5194/bg-7-2061-2010
2010Ito, A. 2010. Evaluation of the impacts of defoliation by tropical cyclones on a Japanese forest's carbon budget using flux data and a process-based model. Journal of Geophysical Research. 115(G4):. https://doi.org/10.1029/2010JG001314
2010Ito, A., K. Ichii, and T. Kato. 2010. Spatial and temporal patterns of soil respiration over the Japanese Archipelago: a model intercomparison study. Ecological Research. 25(5):1033-1044. https://doi.org/10.1007/s11284-010-0729-8
2010Kampe, T.U. 2010. NEON: the first continental-scale ecological observatory with airborne remote sensing of vegetation canopy biochemistry and structure. Journal of Applied Remote Sensing. 4(1):043510. https://doi.org/10.1117/1.3361375
2010Lizarraga-Celaya, C., C.J. Watts, J.C. Rodriguez, J. Garatuza-Payan, R.L. Scott, and J. Saiz-Hernandez. 2010. Spatio-temporal variations in surface characteristics over the North American Monsoon region. Journal of Arid Environments. 74(5):540-548. https://doi.org/10.1016/j.jaridenv.2009.09.027
2010Moore, A. H.2010. Deforestation and the Transformation of the Landscape of North China: prehistory-present . Thesis.
2010Munyati, C. and T. Ratshibvumo. 2010. Differentiating geological fertility derived vegetation zones in Kruger National Park, South Africa, using Landsat and MODIS imagery. Journal for Nature Conservation. 18(3):169-179. https://doi.org/10.1016/j.jnc.2009.08.001
2010Myneni, R., Knyazikhin, Y., & Shabanov, N. 2010. Leaf Area Index and Fraction of Absorbed PAR Products from Terra and Aqua MODIS Sensors: Analysis, Validation, and Refinement. Book Chapter. . .org/10.1007/978-1-4419-6749-7-27
2010Myneni, R., Knyazikhin, Y., & Shabanov, N. 2010. Leaf Area Index and Fraction of Absorbed PAR Products from Terra and Aqua MODIS Sensors: Analysis, Validation, and Refinement. Book Chapter. https://doi.org/10.1007/978-1-4419-6749-7-27
2010Pinto-Junior, O.B., L. Sanches, F. de Almeida Lobo, A.A. Brandao, and J. de Souza Nogueira. 2010. Leaf area index of a tropical semi-deciduous forest of the southern Amazon Basin. International Journal of Biometeorology. 55(2):109-118. https://doi.org/10.1007/s00484-010-0317-1
2010Pisek, J., J.M. Chen, K. Alikas, and F. Deng. 2010. Impacts of including forest understory brightness and foliage clumping information from multiangular measurements on leaf area index mapping over North America. Journal of Geophysical Research. 115(G3):. https://doi.org/10.1029/2009jg001138
2010Pisek, Jan., Department of Geogrpahy, (2010). Development and Refinement of New Products from Multi-angle Remote Sensing to Improve Leaf Area Index Retrieval. Doctor of Philosophy.
2010Rublev, A.N., G.Y. Grigoriev, T.A. Udalova, and T.B. Zhuravleva. 2010. Regression models for the estimation of carbon exchange in boreal forests. Atmospheric and Oceanic Optics. 23(2):111-117. https://doi.org/10.1134/S1024856010020053
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2010Tang, X., K. Song, Z. Wang, Y. Wang, and D. Liu. 2010. Estimating the Net Ecosystem Carbon Exchange for a Deciduous Broadleaf Forest by Exclusive Use of MODIS Data. 1-4. https://doi.org/10.1109/ICMULT.2010.5629688
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2010Vargas, R., N. Hasselquist, E.B. Allen, and M.F. Allen. 2010. Effects of a Hurricane Disturbance on Aboveground Forest Structure, Arbuscular Mycorrhizae and Belowground Carbon in a Restored Tropical Forest. Ecosystems. 13(1):118-128. https://doi.org/10.1007/s10021-009-9305-x
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2010Yuan, W., S. Liu, H. Liu, J.T. Randerson, G. Yu, and L.L. Tieszen. 2010. Impacts of precipitation seasonality and ecosystem types on evapotranspiration in the Yukon River Basin, Alaska. Water Resources Research. 46(2):. https://doi.org/10.1029/2009WR008119
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2009Goerner, A., M. Reichstein, and S. Rambal. 2009. Tracking seasonal drought effects on ecosystem light use efficiency with satellite-based PRI in a Mediterranean forest. Remote Sensing of Environment. 113(5):1101-1111. https://doi.org/10.1016/j.rse.2009.02.001
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2009Ichii, K., W. Wang, H. Hashimoto, F. Yang, P. Votava, A.R. Michaelis, and R.R. Nemani. 2009. Refinement of rooting depths using satellite-based evapotranspiration seasonality for ecosystem modeling in California. Agricultural and Forest Meteorology. 149(11):1907-1918. https://doi.org/10.1016/j.agrformet.2009.06.019
2009Kanniah, K.D., J. Beringer, L.B. Hutley, N.J. Tapper, and X. Zhu. 2009. Evaluation of Collections 4 and 5 of the MODIS Gross Primary Productivity product and algorithm improvement at a tropical savanna site in northern Australia. Remote Sensing of Environment. 113(9):1808-1822. https://doi.org/10.1016/j.rse.2009.04.013
2009Kimball, J.S., L.A. Jones, K. Zhang, F.A. Heinsch, K.C. McDonald, and W.C. Oechel2009. A Satellite Approach to Estimate Land-Atmosphere CO2 Exchange for Boreal and Arctic Biomes Using MODIS and AMSR-E. IEEE Transactions on Geoscience and Remote Sensing. 47(2):.
2009Liang, L. and M.D. Schwartz. 2009. Landscape phenology: an integrative approach to seasonal vegetation dynamics. Landscape Ecology. 24(4):465-472. https://doi.org/10.1007/s10980-009-9328-x
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2008Chasmer, L. E.2008. Canopy structural and meteorological influences on CO2 exchange for MODIS product validation in a boreal jack pine chronosequence. Thesis.
2008CHASMER, L., C. HOPKINSON, P. TREITZ, H. MCCAUGHEY, A. BARR, and A. BLACK. 2008. A lidar-based hierarchical approach for assessing MODIS fPAR. Remote Sensing of Environment. 112(12):4344-4357. https://doi.org/10.1016/j.rse.2008.08.003
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2008Nightingale, J.M., W.E. Esaias, R.E. Wolfe, J.E. Nickeson, and P.L.A. Ma. 2008. Assessing Honey Bee Equilibrium Range and Forage Supply using Satelite-Derived Phenology. III - 763-III - 766. https://doi.org/10.1109/IGARSS.2008.4779460
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2007Archibald, S. and R.J. Scholes. 2007. Leaf green-up in a semi-arid African savanna -separating tree and grass responses to environmental cues. Journal of Vegetation Science. 18(4):583-594. https://doi.org/10.1111/j.1654-1103.2007.tb02572.x
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2007Camacho-de Coca, F., J. Garcia-Haro, J. Melia, and J.L. Roujean. 2007. Prototyping algorithm for retrieving FAPAR using MSG data in the context of the LSA SAF project. 1016-1020. https://doi.org/10.1109/IGARSS.2007.4422973
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2007COOPS, N., T. BLACK, R. JASSAL, J. TROFYMOW, and K. MORGENSTERN. 2007. Comparison of MODIS, eddy covariance determined and physiologically modelled gross primary production (GPP) in a Douglas-fir forest stand. Remote Sensing of Environment. 107(3):385-401. https://doi.org/10.1016/j.rse.2006.09.010
2007Costa, M.J., E. Cattani, V. Levizzan, and A.M. Silva. 2007. Cloud Microphysical Properties Retrieval During Intense Biomass Burning Events Over Africa and Portugal. 97-111. https://doi.org/10.1007/978-1-4020-5835-6_8
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2007Pisek, J. and J.M. Chen. 2007. Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America. Remote Sensing of Environment. 109(1):81-94. https://doi.org/10.1016/j.rse.2006.12.004
2007Sirikul, N.2007. Comparisons of MODIS Vegetation Index Products with Biophysical and Flux Tower Measurements. Thesis.
2007WANG, Y.P., D. BALDOCCHI, R. LEUNING, E. FALGE, and T. VESALA. 2007. Estimating parameters in a land-surface model by applying nonlinear inversion to eddy covariance flux measurements from eight FLUXNET sites. Global Change Biology. 13(3):652-670. https://doi.org/10.1111/j.1365-2486.2006.01225.x
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2007Wilson, T.B. and T.P. Meyers. 2007. Determining vegetation indices from solar and photosynthetically active radiation fluxes. Agricultural and Forest Meteorology. 144(3-4):160-179. https://doi.org/10.1016/j.agrformet.2007.04.001
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2006Heinsch, F.A., Maosheng Zhao, S.W. Running, J.S. Kimball, R.R. Nemani, K.J. Davis, P.V. Bolstad, B.D. Cook, A.R. Desai, D.M. Ricciuto, B.E. Law, W.C. Oechel, Hyojung Kwon, Hongyan Luo, S.C. Wofsy, A.L. Dunn, J.W. Munger, D.D. Baldocchi, Liukang Xu, D.Y. Hollinger, A.D. Richardson, P.C. Stoy, M.B.S. Siqueira, R.K. Monson, S.P. Burns, and L.B. Flanagan. 2006. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Transactions on Geoscience and Remote Sensing. 44(7):1908-1925. https://doi.org/10.1109/TGRS.2005.853936
2006Schwalm, C.R., T.A. Black, B.D. Amiro, M.A. Arain, A.G. Barr, C.P.A. Bourque, A.L. Dunn, L.B. Flanagan, M.A. Giasson, P.M. Lafleur, H.A. Margolis, J.H. McCaughey, A.L. Orchansky, and S.C. Wofsy. 2006. Photosynthetic light use efficiency of three biomes across an east-west continental-scale transect in Canada. Agricultural and Forest Meteorology. 140(1-4):269-286. https://doi.org/10.1016/j.agrformet.2006.06.010
2006Sims, D.A., A.F. Rahman, V.D. Cordova, B.Z. El-Masri, D.D. Baldocchi, L.B. Flanagan, A.H. Goldstein, D.Y. Hollinger, L. Misson, R.K. Monson, W.C. Oechel, H.P. Schmid, S.C. Wofsy, and L. Xu. 2006. On the use of MODIS EVI to assess gross primary productivity of North American ecosystems. Journal of Geophysical Research: Biogeosciences. 111(G4):. https://doi.org/10.1029/2006JG000162
2006Yang, F., M.A. White, A.R. Michaelis, K. Ichii, H. Hashimoto, P. Votava, A.X. Zhu, and R.R. Nemani. 2006. Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine. IEEE Transactions on Geoscience and Remote Sensing. 44(11):3452-3461. https://doi.org/10.1109/TGRS.2006.876297
2006Yang, W., N.V. Shabanov, D. Huang, W. Wang, R.E. Dickinson, R.R. Nemani, Y. Knyazikhin, and R.B. Myneni. 2006. Analysis of leaf area index products from combination of MODIS Terra and Aqua data. Remote Sensing of Environment. 104(3):297-312. https://doi.org/10.1016/j.rse.2006.04.016
2005Cordova, V. D. 2005. Regional-scale carbon flux estimation using MODIS imagery. Thesis.
2005Rahman, A.F., D.A. Sims, V.D. Cordova, and B.Z. El-Masri. 2005. Potential of MODIS EVI and surface temperature for directly estimating per-pixel ecosystem C fluxes. Geophysical Research Letters. 32(19):n/a-n/a. https://doi.org/10.1029/2005gl024127
2005Ratana, P., A.R. Huete, Yuan Yin, and A. Jacobson. 2005. Interrelationship among among MODIS vegetation products across an Amazon Eco-climatic gradient. 4:3009-3012. https://doi.org/10.1109/IGARSS.2005.1525703
2005Zhao, M., F.A. Heinsch, R.R. Nemani, and S.W. Running. 2005. Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sensing of Environment. 95(2):164-176. https://doi.org/10.1016/j.rse.2004.12.011
2004Heinsch, F. A., Jolly, W. M., Kimball, J. S., Oechel, W. C., & Verma, S. B.2004. Using Biome-BGC to estimate production in annual crops - A study in Nebraska. Proceedings.
2004Olson, R.J., S.K. Holladay, R.B. Cook, E. Falge, D. Baldocchi, and L. Gu. 2004. https://doi.org/10.2172/1184413