{"Daymet":[{"long_name":"Daily Surface Weather Data","tool_fixed":"Y","url":"https://doi.org/10.3334/ORNLDAAC/2129","acronym":"Daymet","name":"Daymet: Daily Surface Weather Data on a 1-km Grid for North America","resolution":"1000","min_year":"1980","tool_api":"Y","max_year":"2023","version":"4R1","tool_globe":"N","product":"Daymet","frequency":"daily","citation":"Thornton, M.M., R. Shrestha, Y. Wei, P.E. Thornton, and B.E. Wilson. 2022. Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 R1. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2129"}],"ATL":[{"tool_globe":"Y","tool_api":"N","max_year":"2024","version":"6","citation":"Neuenschwander, A. L., K. L. Pitts, B. P. Jelley, J. Robbins, J. Markel, S. C. Popescu, R. F. Nelson, D. Harding, D. Pederson, B. Klotz, and R. Sheridan. 2023. ATLAS/ICESat-2 L3A Land and Vegetation Height, Version 6. NASA National Snow and Ice Data Center Distributed Active Archive Center, Boulder, Colorado USA. https://doi.org/10.5067/ATLAS/ATL08.006","product":"ATL08","frequency":"91-day","url":"https://doi.org/10.5067/ATLAS/ATL08.006","tool_fixed":"N","long_name":"Land and Vegetation Height (ATLAS/ICESat-2) ","min_year":"2018","resolution":"17","acronym":"LSM","name":"ATLAS/ICESat-2 L3A Land and Vegetation Height"}],"SIF":[{"tool_api":"Y","version":"2","max_year":"2020","tool_globe":"Y","product":"SIF_ANN","frequency":"16-day","citation":"Yu, L., J. Wen, C.Y. Chang, C. Frankenberg, and Y. Sun. 2021. High Resolution Global Contiguous SIF Estimates from OCO-2 SIF and MODIS, Version 2. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1863","tool_fixed":"Y","long_name":"SIF Estimates (OCO-2 SIF + MODIS)","url":"https://doi.org/10.3334/ORNLDAAC/1863","acronym":"SIF","name":"High Resolution Global Contiguous SIF Estimates from OCO-2 SIF and MODIS","resolution":"0.05","min_year":"2014"},{"citation":"Wen, J., J. Joiner, N.C. Parazoo, and Y. Sun. 2023. Global High-Resolution Estimates of SIF from Fused SCIAMACHY and GOME-2, V2. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2317","frequency":"monthly","product":"SIF005","tool_globe":"Y","max_year":"2017","version":"2","tool_api":"Y","min_year":"2003","resolution":"0.05","acronym":"SIF","name":"Global High-Resolution Estimates of SIF from Fused SCIAMACHY and GOME-2","url":"https://doi.org/10.3334/ORNLDAAC/2317","long_name":"SIF Estimates (SCIAMACHY + GOME-2)","tool_fixed":"Y"}],"GEDI":[{"citation":"Dubayah, R.O., S.B. Luthcke, T.J. Sabaka, J.B. Nicholas, S. Preaux, and M.A. Hofton. 2021. GEDI L3 Gridded Land Surface Metrics, Version 2. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1952","product":"GEDI03","frequency":"one time","tool_globe":"Y","tool_api":"Y","version":"2","max_year":"2023","min_year":"2019","resolution":"1000","acronym":"LSM","name":"GEDI L3 Gridded Land Surface Metrics","url":"https://doi.org/10.3334/ORNLDAAC/1952","long_name":"Gridded Land Surface Metrics (GEDI)","tool_fixed":"Y"},{"url":"https://doi.org/10.3334/ORNLDAAC/2056","tool_fixed":"N","long_name":"Footprint Level Aboveground Biomass Density (GEDI)","resolution":"25","min_year":"2019","acronym":"AGBD","name":"GEDI L4A Footprint Level Aboveground Biomass Density","tool_globe":"Y","tool_api":"N","max_year":"2023","version":"2.1","citation":"Dubayah, R.O., J. Armston, J.R. Kellner, L. Duncanson, S.P. Healey, P.L. Patterson, S. Hancock, H. Tang, J. Bruening, M.A. Hofton, J.B. Blair, and S.B. Luthcke. 2022. GEDI L4A Footprint Level Aboveground Biomass Density, Version 2.1. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2056","product":"GEDI04_A","frequency":"varies"},{"url":"https://doi.org/10.3334/ORNLDAAC/2299","tool_fixed":"Y","long_name":"Gridded Aboveground Biomass Density (GEDI)","resolution":"1000","min_year":"2019","acronym":"AGBD","name":"GEDI L4B Gridded Aboveground Biomass Density","tool_globe":"Y","tool_api":"Y","max_year":"2023","version":"2.1","citation":"Dubayah, R.O., J. Armston, S.P. Healey, Z. Yang, P.L. Patterson, S. Saarela, G. Stahl, L. Duncanson, .R. Kellner, J. Bruening, and A. Pascual. 2023. GEDI L4B Gridded Aboveground Biomass Density, Version 2.1. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2299","product":"GEDI04_B","frequency":"one time"}],"ECO":[{"frequency":"varies","product":"ECO4WUE","citation":"Hook, S., J. Fisher. 2019. ECOSTRESS Water Use Efficiency Daily L4 Global 70 m V001. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/ECOSTRESS/ECO4WUE.001","version":"1","max_year":"2022","tool_api":"Y","tool_globe":"N","name":"ECOSTRESS Water Use Efficiency Daily L4 Global 70 m","acronym":"WUE","resolution":"70","min_year":"2018","long_name":"Water Use Efficiency (ECOSTRESS)","tool_fixed":"Y","url":"https://doi.org/10.5067/ECOSTRESS/ECO4WUE.001"},{"name":"ECOSTRESS Evaporative Stress Index PT-JPL Daily L4 Global 70 m","acronym":"ESI","min_year":"2018","resolution":"70","long_name":"Evaporative Stress Index PT-JPL (ECOSTRESS)","tool_fixed":"Y","url":"https://doi.org/10.5067/ECOSTRESS/ECO4ESIPTJPL.001","frequency":"varies","product":"ECO4ESIPTJPL","citation":"Hook, S., J. Fisher. 2019. ECOSTRESS Evaporative Stress Index PT-JPL Daily L4 Global 70 m V001. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/ECOSTRESS/ECO4ESIPTJPL.001","version":"1","max_year":"2022","tool_api":"Y","tool_globe":"N"}],"VNP":[{"citation":"E. Vermote, B. Franch, M. Claverie. 2023. VIIRS/S-NPP Surface Reflectance 8-Day L3 Global 500m SIN Grid V002. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/VIIRS/VNP09H1.002","frequency":"8","product":"VNP09H1","tool_globe":"Y","max_year":"2024","version":"2","tool_api":"Y","resolution":"500","min_year":"2012","acronym":"SREF","name":"VIIRS/S-NPP Surface Reflectance 8-Day L3","url":"https://doi.org/10.5067/VIIRS/VNP09H1.002","long_name":"Surface Reflectance (S-NPP)","tool_fixed":"Y"},{"product":"VNP15A2H","frequency":"8","citation":"R. Myneni. 2023. VIIRS/S-NPP Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V002. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/VIIRS/VNP15A2H.002","tool_api":"Y","version":"2","max_year":"2024","tool_globe":"Y","acronym":"LAI/FPAR","name":"VIIRS/S-NPP Leaf Area Index/FPAR 8-Day L4","min_year":"2012","resolution":"500","long_name":"Leaf Area Index (LAI) and FPAR (S-NPP)","tool_fixed":"Y","url":"https://doi.org/10.5067/VIIRS/VNP15A2H.002"},{"tool_api":"Y","max_year":"2024","version":"2","tool_globe":"Y","product":"VNP09A1","frequency":"8","citation":"E. Vermote, B. Franch, M. Claverie. 2023. VIIRS/S-NPP Surface Reflectance 8-Day L3 Global 1km SIN Grid V002. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/VIIRS/VNP09A1.002","tool_fixed":"Y","long_name":"Surface Reflectance (S-NPP)","url":"https://doi.org/10.5067/VIIRS/VNP09A1.002","acronym":"SREF","name":"VIIRS/S-NPP Surface Reflectance 8-Day L3","min_year":"2012","resolution":"1000"},{"citation":"Vermote, E. 2023. VIIRS/NPP Vegetation Indices 16-Day L3 Global 500m SIN Grid V002. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/VIIRS/VNP13A1.002","frequency":"16","product":"VNP13A1","tool_globe":"Y","max_year":"2024","version":"2","tool_api":"Y","resolution":"500","min_year":"2012","name":"VIIRS/NPP Vegetation Indices 16-Day L3","acronym":"NDVI/EVI","url":"https://doi.org/10.5067/VIIRS/VNP13A1.002","tool_fixed":"Y","long_name":"Vegetation Indices (NDVI/EVI) (S-NPP)"},{"long_name":"Land Surface Temperature and Emissivity (S-NPP)","tool_fixed":"Y","url":"https://doi.org/10.5067/VIIRS/VNP21A2.002","name":"VIIRS/NPP Land Surface Temperature and Emissivity 8-Day L3","acronym":"LSTE","min_year":"2012","resolution":"1000","tool_api":"Y","max_year":"2024","version":"2","tool_globe":"Y","product":"VNP21A2","frequency":"8","citation":"Hulley, G., S. Hook. 2023. VIIRS/NPP Land Surface Temperature and Emissivity 8-Day L3 Global 1km SIN Grid V002. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/VIIRS/VNP21A2.002"},{"tool_api":"Y","version":"1","max_year":"2022","tool_globe":"N","product":"VNP22Q2","frequency":"annual","citation":"Zhang, X., Friedl, M., Henebry, G. 2020. VNP22Q2 VIIRS/NPP Land Cover Dynamics Yearly L3 Global 500m SIN Grid V001. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/VIIRS/VNP22Q2.001","tool_fixed":"N","long_name":"Land Cover Dynamics (S-NPP) ","url":"https://doi.org/10.5067/VIIRS/VNP22Q2.001","name":"VNP22Q2 VIIRS/NPP Land Cover Dynamics Yearly L3","acronym":"LC","min_year":"2013","resolution":"500"}],"MOD":[{"name":"MODIS/Terra Surface Reflectance 8-Day L3","acronym":"SREF","min_year":"2000","resolution":"500","long_name":"Surface Reflectance (Terra)","tool_fixed":"Y","url":"https://doi.org/10.5067/MODIS/MOD09A1.061","product":"MOD09A1","frequency":"8","citation":"E. Vermote. 2021. MOD09A1 MODIS/Terra Surface Reflectance 8-Day L3 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD09A1.061","tool_api":"Y","max_year":"2025","version":"6.1","tool_globe":"Y"},{"acronym":"LST","name":"MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3","min_year":"2000","resolution":"1000","tool_fixed":"Y","long_name":"Land Surface Temperature and Emissivity (Terra)","url":"https://doi.org/10.5067/MODIS/MOD11A2.061","frequency":"8","product":"MOD11A2","citation":"Z. Wan, Hook, S., Hulley, G. 2021. MOD11A2 MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD11A2.061","version":"6.1","max_year":"2025","tool_api":"Y","tool_globe":"Y"},{"citation":"K. Didan. 2021. MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD13Q1.061","frequency":"16","product":"MOD13Q1","tool_globe":"Y","version":"6.1","max_year":"2025","tool_api":"Y","min_year":"2000","resolution":"250","acronym":"NDVI/EVI","name":"MODIS/Terra Vegetation Indices 16-Day L3","url":"https://doi.org/10.5067/MODIS/MOD13Q1.061","tool_fixed":"Y","long_name":"Vegetation Indices (NDVI/EVI) (Terra)"},{"frequency":"8","product":"MOD15A2H","citation":"R. Myneni, Knyazikhin, Y., Park., T. 2021. MOD15A2H MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD15A2H.061","max_year":"2025","version":"6.1","tool_api":"Y","tool_globe":"Y","name":"MODIS/Terra Leaf Area Index/FPAR 8-Day L4","acronym":"LAI/FPAR","resolution":"500","min_year":"2000","tool_fixed":"Y","long_name":"Leaf Area Index (LAI) and FPAR (Terra)","url":"https://doi.org/10.5067/MODIS/MOD15A2H.061"},{"tool_globe":"Y","tool_api":"Y","version":"6.1","max_year":"2025","citation":"S. Running, Q. Mu, M. Zhao. 2021. MOD17A2H MODIS/Terra Gross Primary Productivity 8-Day L4 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD17A2H.061","product":"MOD17A2H","frequency":"8","url":"https://doi.org/10.5067/MODIS/MOD17A2H.061","tool_fixed":"Y","long_name":"Gross Primary Productivity (GPP) (Terra)","min_year":"2021","resolution":"500","acronym":"GPP","name":"MODIS/Terra Gross Primary Productivity 8-Day L4"},{"tool_globe":"Y","tool_api":"Y","max_year":"2025","version":"6.1","citation":"E. Vermote. 2021. MYD09A1 MODIS/Aqua Surface Reflectance 8-Day L3 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD09A1.061","product":"MYD09A1","frequency":"8","url":"https://doi.org/10.5067/MODIS/MYD09A1.061","tool_fixed":"Y","long_name":"Surface Reflectance (Aqua)","min_year":"2002","resolution":"500","acronym":"SREF","name":"MODIS/Aqua Surface Reflectance 8-Day L3"},{"acronym":"LST","name":"MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3","resolution":"1000","min_year":"2002","long_name":"Land Surface Temperature and Emissivity (Aqua)","tool_fixed":"Y","url":"https://doi.org/10.5067/MODIS/MYD11A2.061","frequency":"8","product":"MYD11A2","citation":"Z. Wan, Hook, S., Hulley, G. 2021. MYD11A2 MODIS/Aqua Land Surface Temperature/Emissivity 8-Day L3 Global 1km SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD11A2.061","version":"6.1","max_year":"2025","tool_api":"Y","tool_globe":"Y"},{"tool_api":"Y","version":"6.1","max_year":"2025","tool_globe":"Y","product":"MYD13Q1","frequency":"16","citation":"K. Didan. 2021. MYD13Q1 MODIS/Aqua Vegetation Indices 16-Day L3 Global 250m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD13Q1.061","tool_fixed":"Y","long_name":"Vegetation Indices (NDVI/EVI) (Aqua)","url":"https://doi.org/10.5067/MODIS/MYD13Q1.061","name":"MODIS/Aqua Vegetation Indices 16-Day L3","acronym":"NDVI/EVI","min_year":"2002","resolution":"250"},{"name":"MODIS/Aqua Leaf Area Index/FPAR 8-Day L4","acronym":"LAI/FPAR","resolution":"500","min_year":"2002","tool_fixed":"Y","long_name":"Leaf Area Index (LAI) and FPAR (Aqua)","url":"https://doi.org/10.5067/MODIS/MYD15A2H.061","product":"MYD15A2H","frequency":"8","citation":"R. Myneni, Knyazikhin, Y., Park., T. 2021. MYD15A2H MODIS/Aqua Leaf Area Index/FPAR 8-Day L4 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD15A2H.061","tool_api":"Y","max_year":"2025","version":"6.1","tool_globe":"Y"},{"max_year":"2025","version":"6.1","tool_api":"Y","tool_globe":"Y","frequency":"8","product":"MYD17A2H","citation":"S. Running, Q. Mu, M. Zhao. 2021. MYD17A2H MODIS/Aqua Gross Primary Productivity 8-Day L4 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD17A2H.061","tool_fixed":"Y","long_name":"Gross Primary Productivity (GPP) (Aqua)","url":"https://doi.org/10.5067/MODIS/MYD17A2H.061","name":"MODIS/Aqua Gross Primary Productivity 8-Day L4","acronym":"GPP","min_year":"2021","resolution":"500"},{"citation":"L. Giglio, Justice, C. 2021. MYD14A2 MODIS/Aqua Thermal Anomalies/Fire 8-Day L3 Global 1km SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD14A2.061","frequency":"8","product":"MYD14A2","tool_globe":"Y","version":"6.1","max_year":"2025","tool_api":"Y","resolution":"1000","min_year":"2002","acronym":"Fire","name":"MODIS/Aqua Thermal Anomalies/Fire 8-Day L3","url":"https://doi.org/10.5067/MODIS/MYD14A2.061","long_name":"Thermal Anomalies and Fire (Aqua)","tool_fixed":"N"},{"tool_globe":"Y","max_year":"2025","version":"6.1","tool_api":"Y","citation":"R. Myneni, Y. Knyazikhin, T. Park. 2021. MCD15A2H MODIS/Terra+Aqua Leaf Area Index/FPAR 8-day L4 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD15A2H.061","frequency":"8","product":"MCD15A2H","url":"https://doi.org/10.5067/MODIS/MCD15A2H.061","long_name":"Leaf Area Index (LAI) and FPAR (Terra + Aqua)","tool_fixed":"Y","resolution":"500","min_year":"2002","acronym":"LAI/FPAR","name":"MODIS/Terra+Aqua Leaf Area Index/FPAR 8-day L4"},{"long_name":"Leaf Area Index (LAI) and FPAR (Terra + Aqua)","tool_fixed":"Y","url":"https://doi.org/10.5067/MODIS/MCD15A3H.061","name":"MODIS/Terra+Aqua Leaf Area Index/FPAR 4-day L4","acronym":"LAI/FPAR","min_year":"2002","resolution":"500","max_year":"2025","version":"6.1","tool_api":"Y","tool_globe":"Y","frequency":"4","product":"MCD15A3H","citation":"R. Myneni, Y. Knyazikhin, T. Park. 2021. MCD15A3H MODIS/Terra+Aqua Leaf Area Index/FPAR 4-day L4 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD15A3H.061"},{"url":"https://doi.org/10.5067/MODIS/MCD43A1.061","tool_fixed":"Y","long_name":"BRDF and Calculated Albedo (Terra + Aqua)","min_year":"2000","resolution":"500","acronym":"MCD43A","name":"MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3","tool_globe":"Y","version":"6.1","max_year":"2025","tool_api":"Y","citation":"C. Schaaf, Wang, Z. 2021. MCD43A1 MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3 Global - 500m V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD43A1.061","frequency":"daily","product":"MCD43A"},{"long_name":"Nadir BRDF-Adjusted Reflectance (Terra + Aqua)","tool_fixed":"Y","url":"https://doi.org/10.5067/MODIS/MCD43A4.061","name":"MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF Adjusted RefDaily L3","acronym":"NBAR","min_year":"2000","resolution":"500","max_year":"2025","version":"6.1","tool_api":"Y","tool_globe":"Y","frequency":"daily","product":"MCD43A4","citation":"C. Schaaf, Wang, Z. 2021. MCD43A4 MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF Adjusted RefDaily L3 Global - 500m V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD43A4.061"},{"max_year":"2025","version":"6.1","tool_api":"Y","tool_globe":"Y","frequency":"8","product":"MOD21A2","citation":"Hulley, G., Hook, S. 2021. MOD21A2 MODIS/Terra Land Surface Temperature/3-Band Emissivity 8-Day L3 Global 1km SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD21A2.061","long_name":"Land Surface Temperature and Emissivity (Terra)","tool_fixed":"Y","url":"https://doi.org/10.5067/MODIS/MOD21A2.061","acronym":"LSTE","name":"MODIS/Terra Land Surface Temperature/3-Band Emissivity 8-Day L3","min_year":"2000","resolution":"1000"},{"frequency":"8","product":"MYD21A2","citation":"Hulley, G. 2021. MYD21A2 MODIS/Aqua Land Surface Temperature/3-Band Emissivity 8-Day L3 Global 1km SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD21A2.061","max_year":"2025","version":"6.1","tool_api":"Y","tool_globe":"Y","acronym":"LSTE","name":"MODIS/Aqua Land Surface Temperature/3-Band Emissivity 8-Day L3","resolution":"1000","min_year":"2002","tool_fixed":"Y","long_name":"Land Surface Temperature and Emissivity (Aqua)","url":"https://doi.org/10.5067/MODIS/MYD21A2.061"},{"citation":"S. Running, Mu, Q., Zhao, M. 2021. MOD16A2 MODIS/Terra Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD16A2.061","product":"MOD16A2","frequency":"8","tool_globe":"Y","tool_api":"Y","version":"6.1","max_year":"2025","resolution":"500","min_year":"2021","acronym":"ET","name":"MODIS/Terra Net Evapotranspiration 8-Day L4","url":"https://doi.org/10.5067/MODIS/MOD16A2.061","tool_fixed":"Y","long_name":"Net Evapotranspiration (Terra)"},{"max_year":"2025","version":"6.1","tool_api":"Y","tool_globe":"Y","frequency":"8","product":"MYD16A2","citation":"S. Running, Mu, Q., Zhao, M. 2021. MYD16A2 MODIS/Aqua Net Evapotranspiration 8-Day L4 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD16A2.061","long_name":"Net Evapotranspiration (Aqua)","tool_fixed":"Y","url":"https://doi.org/10.5067/MODIS/MYD16A2.061","acronym":"ET","name":"MODIS/Aqua Net Evapotranspiration 8-Day L4","resolution":"500","min_year":"2021"},{"tool_fixed":"N","long_name":"Land Cover Type (Terra + Aqua)","url":"https://doi.org/10.5067/MODIS/MCD12Q1.061","name":"MODIS/Terra+Aqua Land Cover Type Yearly L3","acronym":"LC","min_year":"2001","resolution":"500","max_year":"2023","version":"6.1","tool_api":"Y","tool_globe":"N","frequency":"annual","product":"MCD12Q1","citation":"M. Friedl, D. Sulla-Menashe. 2022. MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD12Q1.061"},{"min_year":"2000","resolution":"1000","acronym":"Fire","name":"MODIS/Terra Thermal Anomalies/Fire 8-Day L3","url":"https://doi.org/10.5067/MODIS/MOD14A2.061","tool_fixed":"N","long_name":"Thermal Anomalies and Fire (Terra)","citation":"L. Giglio, Justice, C. 2021. MOD14A2 MODIS/Terra Thermal Anomalies/Fire 8-Day L3 Global 1km SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD14A2.061","frequency":"8","product":"MOD14A2","tool_globe":"Y","max_year":"2025","version":"6.1","tool_api":"Y"},{"long_name":"Land Cover Dynamics (Terra+Aqua)","tool_fixed":"N","url":"https://doi.org/10.5067/MODIS/MCD12Q2.061","acronym":"LC","name":"MODIS/Terra+Aqua Land Cover Dynamics Yearly L3","resolution":"500","min_year":"2001","max_year":"2023","version":"6.1","tool_api":"Y","tool_globe":"N","frequency":"annual","product":"MCD12Q2","citation":"Friedl, M., Gray, J., Sulla-Menashe, D. 2022. MCD12Q2 MODIS/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD12Q2.061"},{"min_year":"2000","resolution":"250","acronym":"VCF","name":"MODIS/Terra Vegetation Continuous Fields Yearly L3","url":"https://doi.org/10.5067/MODIS/MOD44B.061","long_name":"Vegetation Continuous Fields (VCF) (Terra)","tool_fixed":"Y","citation":"C. Dimiceli, M. Sohlberg, J.R.G. Townshend. 2022. MOD44B MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD44B.061","frequency":"annual","product":"MOD44B","tool_globe":"Y","version":"6.1","max_year":"2025","tool_api":"Y"},{"tool_api":"Y","version":"6.1","max_year":"2025","tool_globe":"Y","product":"MCD64A1","frequency":"monthly","citation":"L. Giglio, C. Justice, L. Boschetti, D. Roy. 2021. MCD64A1 MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD64A1.061  ","long_name":"Burned Area (Terra+Aqua)","tool_fixed":"Y","url":"https://doi.org/10.5067/MODIS/MCD64A1.061","acronym":"Burn","name":"MODIS/Terra+Aqua Burned Area Monthly L3","min_year":"2000","resolution":"500"},{"tool_globe":"Y","tool_api":"Y","version":"6.1","max_year":"2024","citation":"S. Running, Mu, Q., Zhao, M., Moreno, A. 2021. MOD16A2GF MODIS/Terra Net Evapotranspiration Gap-Filled 8-Day L4 Global 500 m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD16A2GF.061","product":"MOD16A2GF","frequency":"8","url":"https://doi.org/10.5067/MODIS/MOD16A2GF.061","long_name":"Net Evapotranspiration Gap-Filled (Terra)","tool_fixed":"Y","resolution":"500","min_year":"2000","name":"MODIS/Terra Net Evapotranspiration Gap-Filled 8-Day L4","acronym":"ET"},{"frequency":"8","product":"MYD16A2GF","citation":"S. Running, Mu, Q., Zhao, M., Moreno, A. 2021. MYD16A2GF MODIS/Aqua Net Evapotranspiration Gap-Filled 8-Day L4 Global 500 m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD16A2GF.061","version":"6.1","max_year":"2024","tool_api":"Y","tool_globe":"Y","name":"MODIS/Aqua Net Evapotranspiration Gap-Filled 8-Day L4","acronym":"ET","min_year":"2002","resolution":"500","long_name":"Net Evapotranspiration Gap-Filled (Aqua)","tool_fixed":"Y","url":"https://doi.org/10.5067/MODIS/MYD16A2GF.061"},{"url":"https://doi.org/10.5067/MODIS/MOD17A3HGF.061","long_name":"Net Primary Production Gap-Filled (Terra)","tool_fixed":"Y","resolution":"500","min_year":"2001","name":"MODIS/Terra Net Primary Production Gap-Filled Yearly L4","acronym":"NPP","tool_globe":"Y","tool_api":"Y","version":"6.1","max_year":"2024","citation":"S. Running, Zhao, M. 2021. MOD17A3HGF MODIS/Terra Net Primary Production Gap-Filled Yearly L4 Global 500 m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD17A3HGF.061","product":"MOD17A3HGF","frequency":"annual"},{"citation":"S. Running, Zhao, M. 2021. MYD17A3HGF MODIS/Aqua Net Primary Production Gap-Filled Yearly L4 Global 500 m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD17A3HGF.061","product":"MYD17A3HGF","frequency":"annual","tool_globe":"Y","tool_api":"Y","version":"6.1","max_year":"2023","resolution":"500","min_year":"2002","name":"MODIS/Aqua Net Primary Production Gap-Filled Yearly L4","acronym":"NPP","url":"https://doi.org/10.5067/MODIS/MYD17A3HGF.061","long_name":"Net Primary Production Gap-Filled (Aqua)","tool_fixed":"Y"},{"url":"https://doi.org/10.5067/MODIS/MOD17A2HGF.061","long_name":"Gross Primary Productivity Gap-Filled (Terra)","tool_fixed":"Y","min_year":"2000","resolution":"500","acronym":"GPP","name":"MODIS/Terra Gross Primary Productivity Gap-Filled 8-Day L4","tool_globe":"Y","version":"6.1","max_year":"2024","tool_api":"Y","citation":"S. Running, Zhao, M. 2021. MOD17A2HGF MODIS/Terra Gross Primary Productivity Gap-Filled 8-Day L4 Global 500 m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MOD17A2HGF.061","frequency":"8","product":"MOD17A2HGF"},{"version":"6.1","max_year":"2024","tool_api":"Y","tool_globe":"Y","frequency":"8","product":"MYD17A2HGF","citation":"S. Running, Zhao, M. 2021. MYD17A2HGF MODIS/Aqua Gross Primary Productivity Gap-Filled 8-Day L4 Global 500 m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MYD17A2HGF.061","tool_fixed":"Y","long_name":"Gross Primary Productivity Gap-Filled (Aqua)","url":"https://doi.org/10.5067/MODIS/MYD17A2HGF.061","acronym":"GPP","name":"MODIS/Aqua Gross Primary Productivity Gap-Filled 8-Day L4","resolution":"500","min_year":"2002"},{"product":"MCD43A1","frequency":"daily","citation":"C. Schaaf, Wang, Z. 2021. MCD43A1 MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3 Global - 500m V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD43A1.061","tool_api":"Y","version":"6.1","max_year":"2025","tool_globe":"N","acronym":"BRDF","name":"MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3","resolution":"500","min_year":"2000","tool_fixed":"N","long_name":"BRDF/Albedo Model Parameters (Terra + Aqua)","url":"https://doi.org/10.5067/MODIS/MCD43A1.061"}],"SPL":[{"product":"SPL4CMDL","frequency":"daily","citation":"Kimball, J. S., L. A. Jones, A. Endsley, T. Kundig, and R. Reichle. 2022. SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange, Version 7. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/3K9F0S1Q5J2U","tool_api":"Y","version":"7","max_year":"2024","tool_globe":"N","acronym":"NEE","name":"SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange","resolution":"9000","min_year":"2015","tool_fixed":"Y","long_name":"Carbon Net Ecosystem Exchange (SMAP)","url":"https://doi.org/10.5067/3K9F0S1Q5J2U"},{"tool_fixed":"Y","long_name":"Global Daily Soil Moisture (SMAP)","url":"https://doi.org/10.5067/M20OXIZHY3RJ","acronym":"SMP_E","name":"SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture","resolution":"9000","min_year":"2015","tool_api":"Y","max_year":"2024","version":"6","tool_globe":"N","product":"SPL3SMP_E","frequency":"daily","citation":"O'Neill, P. E., S. Chan, E. G. Njoku, T. Jackson, R. Bindlish, J. Chaubell, and A. Colliander. 2023. SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture, Version 6. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/M20OXIZHY3RJ"}]}