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Description

The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A4 Version 6.1 Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) dataset is produced daily using 16 days of Terra and Aqua MODIS data at 500 meter (m) resolution. The view angle effects are removed from the directional reflectances, resulting in a stable and consistent NBAR product. Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name.

Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the User Guide.

The MCD43A4 provides NBAR and simplified mandatory quality layers for MODIS bands 1 through 7. Essential quality information provided in the corresponding MCD43A2 data file should be consulted when using this product.

Known Issues

Version Description

The following changes and improvements were implemented for inputs to MODIS Version 6.1 BRDF/Albedo Model Parameters data products: (1) Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 – 2017, and (2) A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).

Product Summary

Platforms
Terra ,
Aqua
Instruments
MODIS
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
500 Meters x 500 Meters
Spatial Reference System(s)
MODIS Sinusoidal Tiling System
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2000-02-16 to Present
Temporal Resolution
1 Day
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC) ,
School for the Environment, University of Massachusetts, Boston (UMASS-B/SFE) ,
MODIS Adaptive Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/MODAPS)
Concept ID
C2218719731-LPCLOUD
Data State
ACTIVE
Number of Files/Granules
2938754
Processing Level
3
Published
Updated
Science Keywords
Reflectance ,
Anisotropy

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Schaaf, C., & Wang, Z. (2021). MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF Adjusted Ref Daily L3 Global - 500m V061 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MCD43A4.061 Date Accessed: 2026-05-01

File Naming Convention

MCD43A4.A2025212.h04v10.061.2025221032559.hdf

The file name begins with the Product Short Name (MCD43A4) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025212), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h04v10), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025221032559), and the Data Format (hdf).

Documents

USER'S GUIDE

ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)

PRODUCT QUALITY ASSESSMENT

SCIENCE DATA PRODUCT VALIDATION

GENERAL DOCUMENTATION

Publications Citing This Dataset

Filters
Title Year Author Topic
Constraining a data-driven CO2 flux model by ecosystem and Upton, Samuel, Reichstein, Markus, Peters, Wouter, Botia, Santiago, Nelson, Jacob A., Walther, Sophia, Jung, Martin, Gans, Fabian, Haszpra, Laszlo, Bastos, Ana Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Reflectance, Albedo, Anisotropy
Unprecedented Amazonian rainforests damage during the 20232024 droughts Bai, Hao, Liu, Xiangzhuo, Yang, Hui, Chave, Jerome, Ciais, Philippe, Wigneron, Jean-Pierre, Saatchi, Sassan, Xiao, Jingfeng, Le Toan, Thuy, Hu, Xiaomei, Yang, Ziyan, Wang, Lijun, Fan, Lei, Yao, Yitong, Chen, Xiuzhi, Liu, Yanxu, Xue, Baolin, Guo, Qinghua, Tang, Zhiyao, Liu, Hongyan, Fang, Jingyun, Tao, Shengli Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, VEGETATION HEIGHT, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy
Mapping global leaf inclination angle (LIA) based on field measurement data Li, Sijia, Fang, Hongliang Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Characteristics, Photosynthetically Active Radiation, Reflectance, Anisotropy
Machine learning-based winter wheat yield prediction using multisource Khosravani Shariati, Seyed Arash, Abbasi, Ali Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Reflectance, Anisotropy, Emissivity, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar)
Modification and Comparison of Two Urban Vegetation Models Over Southern MadsenColford, Sabrina, Hutyra, Lucy, Smith, Ian, Wu, Dien, Arain, M. Altaf, Staebler, Ralf, Ma, William, RestrepoCoupe, Natalia, Wunch, Debra Land Use/Land Cover Classification, Plant Phenology, Enhanced Vegetation Index (EVI), Reflectance, Urban Lands, Land Use/Land Cover, Urbanization/Urban Sprawl, Infrastructure, Anisotropy
Learning county from pixels: corn yield prediction with Wang, Xiaoyu, Ma, Yuchi, Xu, Yijia, Huang, Qunying, Yang, Zhengwei, Zhang, Zhou Reflectance, Anisotropy
Estimating carbon fluxes over North America using a physics-constrained deep learning model Fan, Bin, Zhang, Hankui K., Li, Zhongbin B., Xiao, Jingfeng, Che, Xianghong, Liu, Zhihua, Camps-Valls, Gustau, Chen, Jing M. Land Use/Land Cover Classification, Reflectance, Anisotropy
Ecosystem carbon use efficiency at global scale from upscaling eddy-covariance data with machine learning and MODIS products Campos-Taberner, M., Gilabert, M. A., Sanchez-Ruiz, S., Martinez, B., Jimenez-Guisado, A., Garcia-Haro, F. J. Land Use/Land Cover Classification, Evapotranspiration, Latent Heat Flux, Reflectance, Anisotropy, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar)
Estimating root zone soil moisture in farmland by integrating Bai, Xuqian, Fan, Shuailong, Li, Ruiqi, Dai, Tianjin, Li, Wangye, Ye, Sumeng, Qian, Long, Liu, Lu, Zhang, Zhitao, Chen, Haorui, Chen, Haiying, Xiang, Youzhen, Chen, Junying, Sun, Shikun Reflectance, Anisotropy, Land Surface Temperature, Emissivity
Evaluation of spatial and temporal variability in Sentinel-2 surface Choi, Wonseok, Ryu, Youngryel, Kong, Juwon, Jeong, Sungchan, Lee, Kyungdo Reflectance, Anisotropy
Global phenology maps reveal the drivers and effects of seasonal asynchrony Terasaki Hart, Drew E., Bui, Thao-Nguyen, Di Maggio, Lauren, Wang, Ian J. Plant Phenology, Enhanced Vegetation Index (EVI), Reflectance, Anisotropy, Land Use/Land Cover Classification
Improving terrestrial solar-induced chlorophyll fluorescence (SIF) reconstruction through multi-satellite-derived SIF integration: a comparative study in regional scale Pan, Mengting, Lin, Xiaofeng, Xiao, Zhongyong, Wang, Fei, Guo, Lifeng, Wang, Cuiping, Xie, Jinghan, Fang, Jingchun Atmospheric Carbon Dioxide, Solar Induced Fluorescence, Reflectance, Anisotropy, Primary Production, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Gross Primary Production (gpp)
Large-scale diurnal responses of solar-induced chlorophyll fluorescence Zhao, Dayang, Zhang, Zhaoying, Zhang, Yongguang Land Use/Land Cover Classification, Reflectance, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Plant Phenology, Enhanced Vegetation Index (EVI)
Mature forest habitat mitigates the decline of an endangered greater Cally, Justin G., Macak, Phoebe V., Chick, Matt P., Blake, Brad, Wagner, Benjamin, Ramsey, David S.L. Reflectance, Anisotropy
An enhanced phenology dataset for global drylands from 2001 to 2019 Dong, Yuqi, Zhou, Yu, Zhang, Li, Tian, Feng, Xie, Qiaoyun, Chen, Yiyang, Ruan, Linlin, Zhang, Bo Land Use/Land Cover Classification, Reflectance, Anisotropy, Plant Phenology, Enhanced Vegetation Index (EVI), Vegetation Index, Plant Phenological Changes, Plant Characteristics, Vegetation Cover
A Near-Real-Time Operational Live Fuel Moisture Content (LFMC) Product Benali, Akli, Baldassarre, Giuseppe, Loureiro, Carlos, Briquemont, Florian, Fernandes, Paulo M., Rossa, Carlos, Figueira, Rui Reflectance, Anisotropy
Climate rather than overgrazing explains most rangeland primary productivity change in Mongolia Purevjav, Avralt-Od, Avirmed, Tumenkhusel, Wilcox, Steven W., Barrett, Christopher B. Reflectance, Anisotropy
Comprehensive reassessment of Australia's land-surface phenology trends Burton, Chad.A., Rifai, Sami.W., Renzullo, Luigi.J., Van Dijk, Albert.I.J.M. Reflectance, Anisotropy
Baseline high-resolution maps of soil nutrients in Morocco to support sustainable agriculture Bouslihim, Yassine, Bouasria, Abdelkrim, Jelloul, Ahmed, Khiari, Lotfi, Dahhani, Sara, Mrabet, Rachid, Moussadek, Rachid Reflectance, Anisotropy
Assessing the impact of landcover change on soil organic carbon stocks NunezHidalgo, Ignacio, Pfeiffer, Marco, Lira, Erick, Alaniz, Alberto J., Gaxiola, Aurora Reflectance, Anisotropy, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Total Surface Water
Detection of fast-changing intra-seasonal vegetation dynamics of drylands using solar-induced chlorophyll fluorescence (SIF) Wen, Jiaming, Tagliabue, Giulia, Rossini, Micol, Fava, Francesco Pietro, Panigada, Cinzia, Merbold, Lutz, Leitner, Sonja, Sun, Ying Longwave Radiation, Shortwave Radiation, Heat Flux, Liquid Precipitation, Snow/Ice, Geopotential Height, Altitude, Surface Temperature, Skin Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone, Reflectance, Anisotropy, Land Use/Land Cover Classification, Solar Induced Fluorescence, Chlorophyll, Primary Production, Leaf Characteristics, Potential Vorticity, Vertical Profiles, Relative Humidity, Ozone Profiles
Coupling Remote Sensing With a Process Model for the Simulation of Xia, Yushu, Sanderman, Jonathan, Watts, Jennifer D., Machmuller, Megan B., Mullen, Andrew L., Rivard, Charlotte, Endsley, Arthur, Hernandez, Haydee, Kimball, John, Ewing, Stephanie A., Litvak, Marcy, Duman, Tomer, Krishnan, Praveena, Meyers, Tilden, Brunsell, Nathaniel A., Mohanty, Binayak, Liu, Heping, Gao, Zhongming, Chen, Jiquan, Abraha, Michael, Scott, Russell L., Flerchinger, Gerald N., Clark, Patrick E., Stoy, Paul C., Khan, Anam M., Brookshire, E. N. Jack, Zhang, Quan, Cook, David R., Thienelt, Thomas, Mitra, Bhaskar, MauritzTozer, Marguerite, Tweedie, Craig E., Torn, Margaret S., Billesbach, Dave Reflectance, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Precipitation Amount, Maximum/Minimum Temperature, Shortwave Radiation, Snow Water Equivalent, Vapor Pressure
Contrasting age-dependent leaf acclimation strategies drive vegetation greening across deciduous broadleaf forests in mid-to high latitudes Wang, Fangyi, Xue, Meimei, Zhou, Liming, Doughty, Christopher E., Ciais, Philippe, Reich, Peter B., Shang, Jiali, Chen, Jing Ming, Liu, Jane, Green, Julia K., Hao, Dalei, Tao, Shengli, Su, Yanjun, Liu, Lingli, Xia, Jianyang, Wang, Han, Yu, Kailiang, Zhu, Zaichun, Zhu, Peng, Li, Xing, Liu, Hui, Zeng, Yelu, Yan, Kai, Liu, Liyang, Lafortezza, Raffaele, Su, Yongxian, Meng, Yanqiong, Pan, Yixuan, Yang, Xueqin, Fu, Yongshuo H., He, Nianpeng, Yuan, Wenping, Chen, Xiuzhi Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology, Reflectance, Anisotropy
Crop water origins and hydroclimate vulnerability of global croplands Jiang, Yan, Burney, Jennifer A. Reflectance, Anisotropy, Vegetation Cover, Cropland
On the added value of sequential deep learning for the upscaling of evapotranspiration Kraft, Basil, Nelson, Jacob A., Walther, Sophia, Gans, Fabian, Weber, Ulrich, Duveiller, Gregory, Reichstein, Markus, Zhang, Weijie, Ruwurm, Marc, Tuia, Devis, Korner, Marco, Hamdi, Zayd, Jung, Martin Reflectance, Anisotropy, Land Surface Temperature, Emissivity, Albedo
PSNet: A deep learning framework following hierarchical yield level Zhong, Renhai, Xiong, Xingguo, Tian, Qiyu, Huang, Jingfeng, Zhu, Linchao, Yang, Yi, Lin, Tao Reflectance, Anisotropy
Quantifying the impact of air pollution from coal-fired electricity generation on crop productivity in India Singh, Kirat, Lobell, David B., Azevedo, Ines M. L. Reflectance, Anisotropy
Quantifying the impact of urban geometry on the urban albedo: A Zhou, Hongyan, Chen, Guanwen, Mei, Shuojun, Hang, Jian, Aktas, Yasemin D., Yang, Xinyan, Wang, Kai Atmospheric Radiation, Longwave Radiation, Shortwave Radiation, Radiative Flux, Radiative Forcing, Surface Radiative Properties, Albedo, Emissivity, Cloud Properties, Cloud Fraction, Cloud Optical Depth/Thickness, Skin Temperature, Skin Temperature, Sea Surface Skin Temperature, Reflectance, Anisotropy
Quantifying shortwave radiative forcing and heating rates of UTLS Santhosh, V.N., Madhavan, B.L., Ratnam, M. Venkat Reflectance, Anisotropy
Regional-scale soil carbon predictions can be enhanced by transferring global-scale soilenvironment relationships Zhang, Lei, Yang, Lin, Ma, Yuxin, Zhu, A-Xing, Wei, Ren, Liu, Jie, Greve, Mogens H., Zhou, Chenghu Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
The Indian Ocean Dipole drives imported-dominated dengue outbreaks in China: Mechanisms and predictions Ma, Jian, Xu, Lei, Han, Qian, Gao, Jing, Yuan, Huihui, Dong, Kaixing, Huang, Cunrui, Zhou, Cui, Ji, John S, Zhang, Chutian, Zeng, Huatang, Guo, Yongman, Luo, Lexuan, Zhang, Xiangliang, Luo, Yong, Liu, Qiyong, Stenseth, Nils Chr, Liang, Wannian Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy
Species diversity advances autumn senescence via enhanced belowground carbon allocation in semi-arid grasslands Cheng, Huan, Qiao, Yuxin, Zhu, HuaZhong, Zhu, YunQiang, Jia, Qianru, Yang, Yuchuan, Zhong, Huaping, Zohner, Constantin M., Liu, Jianquan Reflectance, Anisotropy, Biomass, Forests, Grasslands, Alpine/Tundra
Seasonality and synchrony of photosynthesis in African forests inferred from spaceborne chlorophyll fluorescence and vegetation indices Doughty, Russell, Wimberly, Michael C., Wanyama, Dan, Peiro, Helene, Parazoo, Nicholas, Crowell, Sean, Cho, Moses Azong Atmospheric Carbon Dioxide, Solar Induced Fluorescence, Reflectance, Anisotropy
Surface Flux Equilibrium Theory-Derived Evapotranspiration Estimate Thakur, Hitesh, Raghav, Pushpendra, Kumar, Mukesh, Wolkeba, Fitsume Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy
Spatial Soil Moisture Prediction From In Situ Data Upscaled to Landsat Yu, Yi, Malone, Brendan P., Renzullo, Luigi J., Burton, Chad A., Tian, Siyuan, Searle, Ross D., Bishop, Thomas F. A., Walker, Jeffrey P. Reflectance, Anisotropy
Transfer learning for improved crop yield predictions in a cross-scale pathway: a case study for Brazilian national soybean Zhang, Jiaying, Guan, Kaiyu, Chen, Zhangliang, Huang, Yizhi, Zhao, Kejie, Peng, Bin, Wang, Sheng, Wu, Xiaocui, Wang, Sibo, Banerjee, Arindam, Vergopolan, Noemi, Fu, Rong, Zhao, Siyu, Colussi, Joana Reflectance, Anisotropy
Vegetation structure and phenology primarily shape the spatiotemporal pattern of ecosystem respiration Zhao, Cenliang, Zhu, Wenquan Precipitation Amount, Alpine/Tundra, Biomass, Forests, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Cover, Permafrost, NET ECOSYSTEM CO2 EXCHANGE (NEE), Soil Depth, Soil Moisture/Water Content, Soil Respiration, Gross Primary Production (gpp), Snow Depth, Atmospheric Carbon Dioxide, Surface Temperature, Land Surface Temperature, Emissivity, Leaf Characteristics, Photosynthetically Active Radiation, Reflectance, Anisotropy
Mapping the potential distribution of Asian elephants: Implications for conservation and humanelephant conflict mitigation in South and Southeast Asia Xu, Haixia, Jiang, Luguang, Liu, Ye Reflectance, Anisotropy, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification
geeSEBAL-MODIS: Continental-scale evapotranspiration based on the Comini de Andrade, Bruno, Laipelt, Leonardo, Fleischmann, Ayan, Huntington, Justin, Morton, Charles, Melton, Forrest, Erickson, Tyler, Roberti, Debora R., de Arruda Souza, Vanessa, Biudes, Marcelo, Gomes Machado, Nadja, Antonio Costa dos Santos, Carlos, Cosio, Eric G., Ruhoff, Anderson Land Use/Land Cover Classification, Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
Impacts of extreme drought on rice planting calendar in Vietnamese Mekong Delta Diem, Phan Kieu, Diem, Nguyen Kieu, Nguyen, Can Trong, Minh, Vo Quang Reflectance, Anisotropy
Dominance and rarity in tree communities across the globe: Patterns Hordijk, Iris, BialicMurphy, Lalasia, Lauber, Thomas, Routh, Devin, Poorter, Lourens, Rivers, Malin C., ter Steege, Hans, Liang, Jingjing, Reich, Peter B., deMiguel, Sergio, Nabuurs, GertJan, Gamarra, Javier G. P., Chen, Han Y. H., Zhou, Mo, Wiser, Susan K., Pretzsch, Hans, Paquette, Alain, Picard, Nicolas, Herault, Bruno, Bastin, JeanFrancois, Alberti, Giorgio, Abegg, Meinrad, Adou Yao, Yves C., Almeyda Zambrano, Angelica M., Alvarado, Braulio V., AlvarezDavila, Esteban, AlvarezLoayza, Patricia, Alves, Luciana F., Ammer, Christian, AntonFernandez, Clara, AraujoMurakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard Corredor, Gerardo A., Baker, Timothy, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith L., Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, Cesar, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J., Clar, David B., Colletta, Gabriel, Coomes, David, Valverde, Fernando Cornejo, CorralRivas, Jose J., Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, Andre L., Decuyper, Mathieu, Derroire, Geraldine, DeVries, Ben, Djordjevic, Ilija, Ieda, Amaral, Dourdain, Aurelie, Dolezal, Jiri, Obiang, Nestor Laurier Engone, Enquist, Brian, Eyre, Teresa, Fandohan, Adande Belarmain, Fayle, Tom M., Ferreira, Leandro V., Feldpausch, Ted R., Finer, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gianelle, Damiano, Glick, Henry B., Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Herbohn, John, Hillers, Annika, Honorio Coronado, Euridice N., Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Jung, Ilbin, Imai, Nobuo, Jagodzinski, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian, Joly, Carlos A., Jucker, Tommaso, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah, KepferRojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy, Kim, Hyun Seok, Kitayama, Kanehiro, Kohl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon, Lu, Huicui, Lukina, Natalia, Maitner, Brian, Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, MarimonJunior, Ben Hur, Marshall, Andrew Robert, Martin, Emanuel, Martynenko, Olga, Meave, Jorge A., MeloCruz, Omar, Mendoza, Casimiro, Merow, Cory, Miscicki, Stanislaw, Mendoza, Abel Monteagudo, Moreno, Vanessa, Mukul, Sharif A., Mundhenk, Philip, NavaMiranda, Maria G., Neill, David, Neldner, Victor, Nevenic, Radovan, Ngugi, Michael, Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, OrtizMalavasi, Edgar, Pan, Yude, ParadaGutierrez, Alexander, Parfenova, Elena, Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Piedade, Maria Teresa, Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poulsen, Axel Dalberg, Poulsen, John R., Arevalo, Freddy Ramirez, RestrepoCorrea, Zorayda, Rodeghiero, Mirco, Rolim, Samir, Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, SalasEljatib, Christian, Schall, Peter, Schepaschenko, Dmitry, SchererLorenzen, Michael, Schmid, Bernhard, Schongart, Jochen, Searle, Eric B., Seben, Vladimir, SerraDiaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly, SilvaEspejo, Javier, Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonke, Bonaventure, Souza, Alexandre F., Sterenczak, Krzysztof, Svenning, JensChristian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter, Usoltsev, Vladimir, Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Van Do, Tran, Van Nuland, Michael E., Martinez, Rodolfo Vasquez, Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, HuaFeng, Watson, James, Werner, Gijsbert D. A., Wittmann, Florian, Wortel, Verginia, Zagt, Roderick, ZawilaNiedzwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhu, ZhiXin, ZoBi, Irie Casimir, Maynard, Daniel S., Crowther, Thomas W. Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy
Ecological Dissimilarity Matters More Than Geographical Distance When Predicting Land Surface Indicators Using Machine Learning Zhou, Bo, Okin, Gregory S., Zhang, Junzhe, Savage, Shannon L., Cole, Christopher J., Duniway, Michael C. Reflectance, Anisotropy, Albedo
EMET: An emergence-based thermal phenological framework for near Yang, Zijun, Diao, Chunyuan, Gao, Feng, Li, Bo Reflectance, Anisotropy
Enhancing long-term vegetation monitoring in Australia: a new approach for harmonising the Advanced Very High Resolution Radiometer normalised ... Burton, Chad A., Rifai, Sami W., Renzullo, Luigi J., Van Dijk, Albert I. J. M. Reflectance, Anisotropy
Greening-Induced Biophysical Impacts Lead to Earlier Spring and Autumn Guo, Jing, Wang, Jinmei, Qiao, Yuxin, Huang, Xu, Smith, Nicholas G., Liu, Zhiyong, Zhang, Rui, Chen, Xiuzhi, Wu, Chaoyang, Penuelas, Josep, Chen, Lei Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy, Land Use/Land Cover Classification, Albedo, Plant Phenology, Enhanced Vegetation Index (EVI), Evapotranspiration, Latent Heat Flux
Global Carbon Fluxes Using Multioutput Gaussian Processes Regression and MODIS Products Campos-Taberner, Manuel, Gilabert, Maria Amparo, Sanchez-Ruiz, Sergio, Martinez, Beatriz, Jimenez-Guisado, Adrian, Garcia-Haro, Francisco Javier, Guanter, Luis Reflectance, Anisotropy, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification
Influence of columnar versus vertical distribution of aerosol properties on the modulation of shortwave radiative effects Santhosh, V.N., Madhavan, B.L., Ratnam, M. Venkat, Naik, Dinesh N. Reflectance, Anisotropy
Assessing Drought Impacts on Gross Primary Productivity of Rubber Li, Weiguang, Hou, Meiting, Liu, Shaojun, Zhang, Jinghong, Zou, Haiping, Chen, Xiaomin, Bai, Rui, Lv, Run, Hou, Wei Reflectance, Anisotropy
Burn Severity and Post-Fire Weather Are Key to Predicting Rifai, Sami W., De Kauwe, Martin G., Gallagher, Rachael V., Cernusak, Lucas A., Meir, Patrick, Pitman, Andy J. Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Characteristics, Photosynthetically Active Radiation, Reflectance, Anisotropy, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area
CO2 fluxes of vegetation in the Greenbelt of Ontario and increased net ecosystem emissions associated with its removal Madsen, Sabrina, Wu, Dien, Halim, Md Abdul, Wunch, Debra Urban Lands, Land Use/Land Cover, Urbanization/Urban Sprawl, Infrastructure, Land Use/Land Cover Classification, Reflectance, Anisotropy
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Variables

The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.

For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor Offset
BRDF_Albedo_Band_Mandatory_Quality_Band1 BRDF Albedo Mandatory Quality for Band 1 Bit Field uint8 255 0 to 254 N/A N/A
BRDF_Albedo_Band_Mandatory_Quality_Band2 BRDF Albedo Mandatory Quality for Band 2 Bit Field uint8 255 0 to 254 N/A N/A
BRDF_Albedo_Band_Mandatory_Quality_Band3 BRDF Albedo Mandatory Quality for Band 3 Bit Field uint8 255 0 to 254 N/A N/A
BRDF_Albedo_Band_Mandatory_Quality_Band4 BRDF Albedo Mandatory Quality for Band 4 Bit Field uint8 255 0 to 254 N/A N/A
BRDF_Albedo_Band_Mandatory_Quality_Band5 BRDF Albedo Mandatory Quality for Band 5 Bit Field uint8 255 0 to 254 N/A N/A
BRDF_Albedo_Band_Mandatory_Quality_Band6 BRDF Albedo Mandatory Quality for Band 6 Bit Field uint8 255 0 to 254 N/A N/A
BRDF_Albedo_Band_Mandatory_Quality_Band7 BRDF Albedo Mandatory Quality for Band 7 Bit Field uint8 255 0 to 254 N/A N/A
Nadir_Reflectance_Band1 NBAR at local solar noon for Band 1 N/A int16 32767 0 to 32766 0.0001 N/A
Nadir_Reflectance_Band2 NBAR at local solar noon for Band 2 N/A int16 32767 0 to 32766 0.0001 N/A
Nadir_Reflectance_Band3 NBAR at local solar noon for Band 3 N/A int16 32767 0 to 32766 0.0001 N/A
Nadir_Reflectance_Band4 NBAR at local solar noon for Band 4 N/A int16 32767 0 to 32766 0.0001 N/A
Nadir_Reflectance_Band5 NBAR at local solar noon for Band 5 N/A int16 32767 0 to 32766 0.0001 N/A
Nadir_Reflectance_Band6 NBAR at local solar noon for Band 6 N/A int16 32767 0 to 32766 0.0001 N/A
Nadir_Reflectance_Band7 NBAR at local solar noon for Band 7 N/A int16 32767 0 to 32766 0.0001 N/A
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