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

The following 771 publications cited the ORNL DAAC Terrestrial Ecology Subsetting & Visualization Services (TESViS).

YearCitation
2024Blessing, S., R. Giering, and C. van der Tol. 2024. OptiSAIL: A system for the simultaneous retrieval of soil, leaf, and canopy parameters and its application to Sentinel-3 Synergy (OLCI+SLSTR) top-of-canopy reflectances. Science of Remote Sensing. 10:100148. https://doi.org/10.1016/j.srs.2024.100148
2024Borana, S.L. and S.K. Yadav. 2024. Satellite Image-Based Drought Monitoring: Vision to Enhance Drought Resilience. Geospatial Technology to Support Communities and Policy, Geotechnologies and the Environment. 129-148. https://doi.org/10.1007/978-3-031-52561-2_8
2024Montaghi, A., S. Bregaglio, and S. Bajocco. 2024. An open-source cloud-based procedure for MODIS remote sensing products: The nasawebservicepython package. Ecological Informatics. 79:102433. https://doi.org/10.1016/j.ecoinf.2023.102433
2024Sridharan, A., G. Gutjahr, and S. Gopalan. 2024. Markov–Switching Spatio–Temporal Generalized Additive Model for Landslide Susceptibility. Environmental Modelling & Software. 173:105892. https://doi.org/10.1016/j.envsoft.2023.105892
2024Zheng, H., Y. Sun, H. Bao, P. Niu, Z. Jin, and Z. Niu. 2024. Drought effects on evapotranspiration and energy exchange over a rain-fed maize cropland in the Chinese Loess Plateau. Agricultural Water Management. 293:108711. https://doi.org/10.1016/j.agwat.2024.108711
2023Ashraf, H., T.A.E. Seoud, S. Sodoudi, and A.e. Zafarany. 2023. Anisotropic Surface Urban Heat Island in Cairo, Egypt: A Spatiotemporal Analysis of Local Climate Change from 2000 to 2021. Civil Engineering and Architecture. 11(1):331-350. https://doi.org/10.13189/cea.2023.110127
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
2023Bloom, D.E., B. Bomfim, Y. Feng, and L.M. Kueppers. 2023. Combining field and remote sensing data to estimate forest canopy damage and recovery following tropical cyclones across tropical regions. Environmental Research: Ecology. 2(3):035004. https://doi.org/10.1088/2752-664X/acfaa3
2023Chemisquy, M.A., R.E. González-Ittig, and G.M. Martin. 2023. Hidden in plain sight: Didelphis albiventris (Didelphimorphia: Didelphidae) might not be a single species. Journal of Mammalian Evolution. 30(4):873-889. https://doi.org/10.1007/s10914-023-09685-1
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
2023Hoeltgebaum, L.E. and N.L. Dias. 2023. Evaluation of the storage and evapotranspiration terms of the water budget for an agricultural watershed using local and remote-sensing measurements. Agricultural and Forest Meteorology. 341:109615. https://doi.org/10.1016/j.agrformet.2023.109615
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
2023Pendiuk, J.E., L. Guarracino, M. Reich, and A. Güntner. 2023. Estimating cumulative evapotranspiration using superconducting gravimeter data: a study in Buenos Aires Province, Argentina. Hydrological Sciences Journal. 68(15):2262-2275. https://doi.org/10.1080/02626667.2023.2264283
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
2023Savastru, D.M., M.A. Zoran, R.S. Savastru, M.N. Tautan, and D.V. Tenciu. 2023. Time-series satellite data for assessment of Bucharest city thermal environment. Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023). https://doi.org/10.1117/12.2680592
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
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2017Sherman, J.P., P. Gupta, R.C. Levy, and P.J. Sherman. 2017. An Evaluation of MODIS-Retrieved Aerosol Optical Depth over a Mountainous AERONET Site in the Southeastern US. Aerosol and Air Quality Research. 16(12):3243-3255. https://doi.org/10.4209/aaqr.2015.09.0568
2017Smith, D. C.2017. Using remotely sensed fluorescence and soil moisture to better understand the seasonal cycle of tropical grasslands . Thesis.
2017Sulis, M., J.L. Williams, P. Shrestha, M. Diederich, C. Simmer, S.J. Kollet, and R.M. Maxwell. 2017. Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models. Journal of Hydrometeorology. 18(5):1489-1511. https://doi.org/10.1175/jhm-d-16-0159.1
2017Suwanwong, A.2017. Statistical Analysis for NDVI Trend and Variation Using MODIS Data in the Cloud Forest of Khao Nan National Park, Thailand during 2000-2015. Proceedings.
2017Tang, X., M. Ma, Z. Ding, X. Xu, L. Yao, X. Huang, Q. Gu, and L. Song. 2017. Remotely Monitoring Ecosystem Water Use Efficiency of Grassland and Cropland in China's Arid and Semi-Arid Regions with MODIS Data. Remote Sensing. 9(6):616. https://doi.org/10.3390/rs9060616
2017Tian, L., J. Chen, and Y. Zhang. 2017. Growing season carries stronger contributions to albedo dynamics on the Tibetan plateau. PLOS ONE. 12(9):e0180559. https://doi.org/10.1371/journal.pone.0180559
2017Tompoulidou, M., A. Stefanidou, E. Dragozi, I. Gitas, D. Stavrakoudis, T. Katagis, D. Grigoriadis, and L. Stepanidou. 2017. Mid-term fire danger index based on satellite imagery and ancillary geographic data. 32. https://doi.org/10.1117/12.2278214
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2017Wang, C., J. Chen, J. Wu, Y. Tang, P. Shi, T.A. Black, and K. Zhu. 2017. A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems. Remote Sensing of Environment. 196:1-12. https://doi.org/10.1016/j.rse.2017.04.031
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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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
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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
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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
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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
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2012Alix-Garcia, J., A. Bartlett, and D. Saah. 2012. Displaced Populations, Humanitarian Assistance and Hosts: A Framework for Analyzing Impacts on Semi-urban Households. World Development. 40(2):373-386. https://doi.org/10.1016/j.worlddev.2011.06.002
2012Argaman, E., S.D. Keesstra, and A. Zeiliguer. 2012. MONITORING THE IMPACT OF SURFACE ALBEDO ON A SALINE LAKE IN SW RUSSIA. Land Degradation & Development. 23(4):398-408. https://doi.org/10.1002/ldr.2155
2012Bright, R.M., F. Cherubini, and A.H. Stromman. 2012. Climate impacts of bioenergy: Inclusion of carbon cycle and albedo dynamics in life cycle impact assessment. Environmental Impact Assessment Review. 37:2-11. https://doi.org/10.1016/j.eiar.2012.01.002
2012Bunting, D. P. (2012). Riparian Restoration and Management of Arid and Semiarid Watersheds. Natural Resources, The University of Arizona, Tucson, AZ.
2012Choi, M. and Y. Hur. 2012. A microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products. Remote Sensing of Environment. 124:259-269. https://doi.org/10.1016/j.rse.2012.05.009
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2012Chu, T. and X. Guo. 2012. Characterizing Vegetation Response to Climatic Variations in Hovsgol, Mongolia Using Remotely Sensed Time Series Data. Earth Science Research. 1(2):. https://doi.org/10.5539/esr.v1n2p279
2012Contreras, S., C.S. Santoni, and E.G. Jobbagy. 2012. Abrupt watercourse formation in a semiarid sedimentary landscape of central Argentina: the roles of forest clearing, rainfall variability and seismic activity. Ecohydrology. n/a-n/a. https://doi.org/10.1002/eco.1302
2012Fang, Y.2012. Modeling Evapotranspiration by Land Cover Types with Global Eddy Flux and MODIS Data. Thesis.
2012Gibson, G. R.; (2012). War and Agriculture: Three Decades of Agricultural Land Use and Land Cover Change in Iraq. Geospatial and Environmental Analysis, Virginia Polytechnic Institute and State University, Blacksburg, VA.
2012Girvetz, E.H., R. McDonald, M. Heiner, J. Kiesecker, G. Davaa, C. Pague, M. Durnin, and E. Oidov. 2012. Eastern Mongolian Grassland Steppe. 92-103. https://doi.org/10.5822/978-1-61091-203-7_8
2012Gonsamo, A., J.M. Chen, C. Wu, and D. Dragoni. 2012. Predicting deciduous forest carbon uptake phenology by upscaling FLUXNET measurements using remote sensing data. Agricultural and Forest Meteorology. 165:127-135. https://doi.org/10.1016/j.agrformet.2012.06.006
2012Gonsamo, A., J.M. Chen, D.T. Price, W.A. Kurz, and C. Wu. 2012. Land surface phenology from optical satellite measurement and CO2eddy covariance technique. Journal of Geophysical Research: Biogeosciences. 117(G3):n/a-n/a. https://doi.org/10.1029/2012JG002070
2012Goulden, M.L., R.G. Anderson, R.C. Bales, A.E. Kelly, M. Meadows, and G.C. Winston. 2012. Evapotranspiration along an elevation gradient in California's Sierra Nevada. Journal of Geophysical Research: Biogeosciences. 117(G3):n/a-n/a. https://doi.org/10.1029/2012JG002027
2012Hashimoto, H., W. Wang, C. Milesi, M.A. White, S. Ganguly, M. Gamo, R. Hirata, R.B. Myneni, and R.R. Nemani. 2012. Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data. Remote Sensing. 4(1):303-326. https://doi.org/10.3390/rs4010303
2012Hashimoto, S., S. Ugawa, K. Morisada, M. Wattenbach, P. Smith, and Y. Matsuura. 2012. Potential carbon stock in Japanese forest soils - simulated impact of forest management and climate change using the CENTURY model. Soil Use and Management. 28(1):45-53. https://doi.org/10.1111/j.1475-2743.2011.00372.x
2012Hilton, T.W., K.J. Davis, K. Keller, and N.M. Urban. 2012. Improving terrestrial CO2 flux diagnosis using spatial structure in land surface model residuals. Biogeosciences Discussions. 9(6):7073-7116. https://doi.org/10.5194/bgd-9-7073-2012
2012Huete, A.R. 2012. Vegetation Indices, Remote Sensing and Forest Monitoring. Geography Compass. 6(9):513-532. https://doi.org/10.1111/j.1749-8198.2012.00507.x
2012Kovalskyy, V. and G.M. Henebry. 2012. A new concept for simulation of vegetated land surface dynamics – Part 1: The event driven phenology model. Biogeosciences. 9(1):141-159. https://doi.org/10.5194/bg-9-141-2012
2012Kovalskyy, V., D.P. Roy, X.Y. Zhang, and J. Ju. 2012. The suitability of multi-temporal web-enabled Landsat data NDVI for phenological monitoring - a comparison with flux tower and MODIS NDVI. Remote Sensing Letters. 3(4):325-334. https://doi.org/10.1080/01431161.2011.593581
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
2012Schubert, P., F. Lagergren, M. Aurela, T. Christensen, A. Grelle, M. Heliasz, L. Klemedtsson, A. Lindroth, K. Pilegaard, T. Vesala, and L. Eklundh. 2012. Modeling GPP in the Nordic forest landscape with MODIS time series data--Comparison with the MODIS GPP product. Remote Sensing of Environment. 126:136-147. https://doi.org/10.1016/j.rse.2012.08.005
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
2012Tang, X., Z. Wang, D. Liu, K. Song, M. Jia, Z. Dong, J.W. Munger, D.Y. Hollinger, P.V. Bolstad, A.H. Goldstein, A.R. Desai, D. Dragoni, and X. Liu. 2012. Estimating the net ecosystem exchange for the major forests in the northern United States by integrating MODIS and AmeriFlux data. Agricultural and Forest Meteorology. 156:75-84. https://doi.org/10.1016/j.agrformet.2012.01.003
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
2012Yu, X., Z. Wu, and W. Jiang. 2012. Gross primary production estimation by combining MODIS products and Ameriflux data through Artificial Neural Network for croplands. 6443-6446. https://doi.org/10.1109/IGARSS.2012.6352734
2012Zeilhofer, P., L. Sanches, G.L. Vourlitis, and N.L.R.D. Andrade. 2012. Seasonal variations in litter production and its relation with MODIS vegetation indices in a semi-deciduous forest of Mato Grosso. Remote Sensing Letters. 3(1):1-9. https://doi.org/10.1080/01431161.2010.523025
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
2011Marino, G.P., D.P. Kaiser, L. Gu, and D.M. Ricciuto. 2011. Reconstruction of false spring occurrences over the southeastern United States, 1901-2007: an increasing risk of spring freeze damage?. Environmental Research Letters. 6(2):024015. https://doi.org/10.1088/1748-9326/6/2/024015
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
2011Wang, D., Z. Zhao, and S.L. Shaw. 2011. An approach to integrate a space-time GIS data model with high performance computers. 46-47. https://doi.org/10.1145/2070770.2070780
2011Wang, T., P. Ciais, S.L. Piao, C. Ottle, P. Brender, F. Maignan, A. Arain, A. Cescatti, D. Gianelle, C. Gough, L. Gu, P. Lafleur, T. Laurila, B. Marcolla, H. Margolis, L. Montagnani, E. Moors, N. Saigusa, T. Vesala, G. Wohlfahrt, C. Koven, A. Black, E. Dellwik, A. Don, D. Hollinger, A. Knohl, R. Monson, J. Munger, A. Suyker, A. Varlagin, and S. Verma. 2011. Controls on winter ecosystem respiration in temperate and boreal ecosystems. Biogeosciences. 8(7):2009-2025. https://doi.org/10.5194/bg-8-2009-2011
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
2011Xiao, J., Q. Zhuang, B.E. Law, D.D. Baldocchi, J. Chen, A.D. Richardson, J.M. Melillo, K.J. Davis, D.Y. Hollinger, S. Wharton, R. Oren, A. Noormets, M.L. Fischer, S.B. Verma, D.R. Cook, G. Sun, S. McNulty, S.C. Wofsy, P.V. Bolstad, S.P. Burns, P.S. Curtis, B.G. Drake, M. Falk, D.R. Foster, L. Gu, J.L. Hadley, G.G. Katul, M. Litvak, S. Ma, T.A. Martin, R. Matamala, T.P. Meyers, R.K. Monson, J.W. Munger, W.C. Oechel, U.K.T. Paw, H.P. Schmid, R.L. Scott, G. Starr, A.E. Suyker, and M.S. Torn. 2011. Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations. Agricultural and Forest Meteorology. 151(1):60-69. https://doi.org/10.1016/j.agrformet.2010.09.002
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
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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
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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.
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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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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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