N: 90 S: -90 E: 180 W: -180
Description
The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A3 Version 6.1 Albedo Model dataset is produced daily using 16 days of Terra and Aqua MODIS data at 500 meter (m) resolution. Data are temporally weighted to the ninth day of the 16 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 MCD43A3 provides black-sky albedo (directional hemispherical reflectance) and white-sky albedo (bihemispherical reflectance) data at local solar noon for MODIS bands 1 through 7 and the visible, near infrared (NIR), and shortwave bands. Along with the albedo layers are the simplified mandatory quality layers for each of the 10 bands. Essential quality information provided in the corresponding MCD43A2 data file should be consulted when using this product.
Known Issues
- For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
Version Description
Product Summary
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.
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File Naming Convention
The file name begins with the Product Short Name (MCD43A3) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2025212), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h11v12), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025221032740), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Estimating the Near-Surface Air Temperature Field Using Satellite-Based Remote Sensing of Land Surface Temperatures | Frat Ors, Pelin, Mahdavi, Ardeshir | Albedo, Anisotropy, Land Surface Temperature, Emissivity, Reflectance | |
| Incorporating varying vegetation characteristics driven by | Sebastian, Dawn Emil, Ghosh, Subimal | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Albedo, Anisotropy | |
| A spatialtemporal seamless reconstruction method for high-resolution 16 m daily land surface albedo products | Guo, Zhaotong, Wen, Jianguang, You, Dongqin, Tang, Yong, Piao, Sen, Liu, Qinhuo, Xiao, Qing | Albedo, Anisotropy | |
| Commodity-driven deforestation doubles local warming from tropical forest loss | Smith, Callum, Baker, Jessica C A, Doggart, Nike H, Argles, Arthur P K, Robertson, Eddy, Chadwick, Robin, Adami, Marcos, Coelho, Caio A S, Spracklen, Dominick V | Land Use/Land Cover Classification, Albedo, Anisotropy, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity | |
| Big data fusion-driven geospatial knowledge graph construction method for sustainable smart cities | Duan, Yuxi, Liang, Maohan, Li, Yan, Gao, Ruobin, Chen, Jin, Chen, Zhong Shuo, Wang, Hua | Albedo, Anisotropy | |
| Revisiting the Urban Heat and Pollution Islands over the Kolkata Metropolitan Area, India | Pandey, Pragya, Tyagi, Bhishma, Kumar, Pradeep, Sahu, Saroj Kumar, Sharma, Kuldeep | Land Use/Land Cover Classification, Albedo, Anisotropy, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Response of Vegetation Phenology to Hydrothermal Variables on the QTP Using EVI and MSAVI | Zhao, Zhijian, Lin, Hui, Wang, Li, Huang, Min, Wu, Lei, Tang, Linling, Yang, Tao, Xiao, Xin | Albedo, Anisotropy, Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Reflectance | |
| Machine learning approaches for clear-sky Land Surface Albedo (LSA) retrieval using OCM-3 data over diverse Indian landscapes | KURESHI, ALIYA M., PATHAK, VISHAL N., KARDANI, DISHA B., DAVE, JALPESH A., SHAH, DHIRAJ B., TURAKHIA, TEJAS P., GUJRATI, ASHWIN, PANDYA, MEHUL R., TRIVEDI, HIMANSHU J. | Aerosol Optical Depth/Thickness, Albedo, Anisotropy | |
| Impacts of Topography on Daily Mean Albedo Estimation Over Snow-free Rugged Terrain | Han, Yuan, Wen, Jianguang, You, Dongqin, Xiao, Qing, Liu, Guokai, Tang, Yong, Piao, Sen, Zhao, Na, Liu, Qinhuo | Albedo, Anisotropy, Radiative Forcing, Forests, Alpine/Tundra | |
| Elevation Correction of Forest Biogeophysical Cooling Effect in China | Bai, Tingting, Song, Yongze, Li, Tong, Zheng, Jinxiu, Zhu, Kai | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Land Surface Temperature, Emissivity, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Albedo, Anisotropy | |
| Enhancing prediction of wildfire occurrence and behavior in Alaska using | Ahajjam, A., Allgaier, M., Chance, R., Chukwuemeka, E., Putkonen, J., Pasch, T. | Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Albedo, Anisotropy | |
| Divergent Seasonal Biophysical Effects Induced by the Three Gorges | Li, Hongbin, Wang, Weiguang, Liu, Guoshuai, Castelli, Fabio, Forzieri, Giovanni | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy | |
| Estimating GPP in China using different site-level datasets, vegetation classification and vegetation indices | Xu, Jiahui, Chen, Tiexi, Chen, Xin, Zhou, Shengjie, Gu, Zhe, Li, Wenhui, Cui, Yingying, Wang, Shengzhen, Liu, Shuci | Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Albedo, Anisotropy, Land Use/Land Cover Classification | |
| Evaluation of the performance of multiple reanalysis forcing data in | Xie, Yuxuan, Kong, Dongdong, Zhang, Yongqiang, Zhong, Yulong, Ma, Ning, Gong, Rouyan, Ci, Hui, Xiao, Mingzhong, Gu, Xihui | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Surface Temperature, Emissivity, Albedo, Anisotropy, Land Use/Land Cover Classification | |
| Global non-uniformity in biophysical surface temperature responses to cropland expansion over non-forest vegetation | Si, Menglin, Li, Zhao-Liang, Liu, Xiangyang, Li, Yitao, Leng, Pei, Tang, Bo-Hui, Tang, Ronglin, Duan, Si-Bo, Liu, Meng, Zhou, Chenghu | Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy | |
| Improved global estimates of terrestrial evapotranspiration using the MODIS and VIIRS sensors | Endsley, K. Arthur, Zhao, Maosheng, Kimball, John S., Albrethsen, Tyler, Devadiga, Sadashiva | Albedo, Anisotropy, Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Reflectance, Topographical Relief Maps, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Influence of initial soil organic carbon in grassland on the sensitivity of carbon changes to climate after grasslandtocropland conversion | Dou, Pengpeng, Wang, Jie, Cai, Tianyu, Miao, Zhengzhou, Wang, Xu, Liang, Junyi, Li, Ping, Fan, Jiangwen, Tang, Shiming, Xiao, Xiangming, Guo, Lizhu, Huang, Jing, Gao, Qian, Chen, Chao, Liu, Kesi, Wang, Kun | Albedo, Anisotropy | |
| Mature riparian alder forest acts as a strong and consistent carbon sink | Krasnova, Alisa, Soosaar, Kaido, Rogozin, Svyatoslav, Krasnov, Dmitrii, Mander, Ulo | Albedo, Anisotropy | |
| Pervasive but biome-dependent relationship between fragmentation and resilience in forests | Su, Yongxian, Zhang, Chaoqun, Cescatti, Alessandro, Yu, Kailiang, Ciais, Philippe, Smith, Taylor, Shang, Jiali, Carnicer, Jofre, Liu, Jane, Chen, Jing Ming, Green, Julia K., Wu, Jianping, Ponce-Campos, Guillermo E., Zhang, Yongguang, Zuo, Zhiyan, Liao, Jinbao, Wu, Jianping, Lafortezza, Raffaele, Yan, Kai, Yang, Xueqin, Liu, Liyang, Ren, Jiashun, Yuan, Wenping, Chen, Xiuzhi, Wu, Chaoyang, Zhou, Weiqi | Albedo, Anisotropy, Forest Management, Emissivity, Land Surface Temperature, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Recent Widespread Deceleration of Global Surface Urban Heat Islands | Zhan, Wenfeng, Li, Long, Chakraborty, T. C., Hu, Leiqiu, Wang, Dazhong, Liao, Weilin, Wang, Shasha, Du, Huilin, Huang, Fan, Wang, Chunli, Liu, Zihan, Li, Manchun | Albedo, Anisotropy, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Aerosol Optical Depth/Thickness, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Radiative forcing reduced by early twenty-first century increase in land albedo | Hou, Zhengyang, Zhang, Liqiang, Peng, Jingjing, Forzieri, Giovanni, Jia, Aolin, Xiao, Zhiqiang, Qu, Ying, Lin, Jintai, Ji, Duoying, Zhu, Zidong, Yao, Xin, Peng, Shuwen, Zhao, Lanpu, Fan, Wenjie, Wu, Zhaocong, Geng, Hao, Wang, Qihao, Zhou, Chenghu, Liu, Suhong, Zhang, Liangpei | Land Use/Land Cover Classification, Reflectance, Albedo, Anisotropy, Albedo, Snow Cover | |
| AI-Based Downscaling of MODIS LST Using SRDA-Net Model for High-Resolution Data Generation | Ma, Hongxia, Mao, Kebiao, Yuan, Zijin, Xu, Longhao, Shi, Jiancheng, Guo, Zhonghua, Qin, Zhihao | Reflectance, Land Surface Temperature, Emissivity, Albedo, Anisotropy, Land Use/Land Cover Classification | |
| A Spatial Hybrid Model for Crop Yield Prediction in Western Australia | Ibrahim, Muhammad, Singh, Balwinder, Pires, Rodrigo, Easton, Julia, Tareque, Hasnein | Albedo, Anisotropy | |
| A strategy to estimate daily shortwave downward radiation in rugged regions from a few satellite observations | Xian, Yuyang, Wang, Tianxing, Du, Yihan, Yu, Pei, Letu, Husi | Albedo, Anisotropy | |
| Assessing midsummer snow-free land surface albedo variability across multiple Arctic sites using the Harmonized Landsat and Sentinel-2 product | Gottuk, Jannika, Stuenzi, Simone M., Runge, Alexandra, Boike, Julia | Reflectance, Albedo, Anisotropy | |
| Brief communication: Improving lake ice modeling in ORCHIDEE-FLake model using MODIS albedo data | Titus, Zacharie, Cuynet, Amelie, Salmon, Elodie, Ottle, Catherine | Albedo, Anisotropy | |
| Climate change dominates recent increase in streamflow in the Yellow River Basin | Huang, Zhen, Tang, Zixuan, Tian, Jing, Zhang, Xuanze, Ma, Ning, Bai, Xinli, Zhang, Yongqiang | Albedo, Anisotropy | |
| 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 | |
| Regional Land Surface Conditions Developed Using the High-Resolution | Vinodhkumar, Buri, Osuri, Krishna Kishore, Dimri, A. P., Mukherjee, Sandipan, AlGhamdi, Sami G., Niyogi, Dev | Albedo, Anisotropy, Reflectance | |
| Responses of surface and canopy heat islands to extreme temperatures: A synergistic analysis in the Beijing-Tianjin-Hebei urban agglomeration | Haiyi, Yang, Fei, Yang, Dewan, Ashraf | Albedo, Anisotropy | |
| Retrieval of Atmospheric XCH4 via XGBoost Method Based on | Zhang, Wenhao, Li, Yao, Li, Bo, Li, Tong, Wang, Zhengyong, Yang, Xiufeng, Jin, Yongtao, Zhang, Lili | Albedo, Anisotropy | |
| The surface mass balance and near-surface climate of the Antarctic ice | van Dalum, Christiaan T., van de Berg, Willem Jan, van den Broeke, Michiel R., van Tiggelen, Maurice | Albedo, Anisotropy, Reflectance | |
| Satellite observation reveals wetland-induced local cooling moderated by regional climate gradients | Gao, Xiaohong, Yan, Zhuoran, Bao, Lun, Li, Xuan, Gao, Li, Yu, Lingxue | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Albedo, Anisotropy | |
| Tourism Pressure and Vegetation Dynamics in the Carpathian Mountains | Kasiyanchuk, Dmytro | Albedo, Anisotropy | |
| Seasonality and Albedo Dependence of Cloud Radiative Forcing in the Upper Colorado River Basin | Rudisill, William, Feldman, Daniel, Cox, Christopher J., Riihimaki, Laura, Sedlar, Joseph | Albedo, Anisotropy | |
| Study of the impact of climate change on tourism activities using remote sensing in the Carpathian region | DEPUTAT, Mykola, TERLETSKA, Khrystyna, ZHUPNYK, Vasyl, HORISHEVSKYI, Pavlo, KASIYANCHUK, Dmytro | Snow Cover, Albedo, Anisotropy | |
| Spatially generalizable bias correction of satellite solar radiation for | Damiani, A., Ishizaki, N.N., Watanabe, T., Tamaki, Y., Cordero, R.R., Feron, S., Irie, H. | Albedo, Anisotropy | |
| Satellite-Based Climate Effects of Photovoltaic Plants in China | Li, Yingfang, Wang, Zhili, Lei, Yadong, Yu, Xiaochao, Chen, Feng, Wang, Ziyi, Liu, Lin, Che, Huizheng, Zhang, Xiaoye | Land Surface Temperature, Emissivity, Albedo, Anisotropy | |
| Two Decades of FireInduced Albedo Change and Associated ShortWave Radiative Effect Over SubSaharan Africa | Flegrova, Michaela, Brindley, Helen | Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area, Albedo, Anisotropy, Reflectance | |
| Two-stage downscaling and correction cascade learning framework for | Li, Jie, Wei, Yingtao, Lin, Liupeng, Yuan, Qiangqiang, Shen, Huanfeng | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Albedo, Anisotropy | |
| A global assessment of the effects of solar farms on albedo, vegetation, and land surface temperature using remote sensing | Xu, Zhengjie, Li, Yan, Qin, Yingzuo, Bach, Eviatar | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Land Use/Land Cover Classification, Albedo, Anisotropy | |
| Megagrazer loss drives complex landscape-scale biophysical cascades | Hyvarinen, Olli, te Beest, Mariska, le Roux, Elizabeth, Kerley, Graham I H, Buitenwerf, Robert, Druce, Dave J, Chen, Jiquan, Rapp, Linda, Fernandes, Joana, Cromsigt, Joris P G M | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Albedo, Anisotropy, Reflectance | |
| Natural forest regeneration is projected to reduce local temperatures | Alibakhshi, Sara, Cook-Patton, Susan C., Davin, Edouard, Maeda, Eduardo Eiji, Araujo, Miguel Bastos, Heinlein, Daniel, Heiskanen, Janne, Pellikka, Petri, Crowther, Thomas W. | Land Surface Temperature, Emissivity, Albedo, Anisotropy, Reflectance, Evapotranspiration, Latent Heat Flux | |
| Impacts of forest cover change on local temperature in Yangtze River Delta and Pearl River Delta urban agglomerations of China | Liu, Qing, Shen, Wenjuan, Wang, Tongyu, He, Jiaying, Cao, Pingting, Sun, Tianyi, Zhang, Ying, Ye, Wenjing, Huang, Chengquan | Albedo, Anisotropy, Evapotranspiration, Latent Heat Flux, Land Surface Temperature, Emissivity, Reflectance | |
| Non-negligible clear-sky biases of satellite thermal infrared observations for analyzing surface urban heat island intensity: A case study in China | Ma, Jin, Zhou, Ji, Zhang, Tao, Tang, Wenbin, Liao, Yangsiyu, Yang, Miao | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Albedo, Anisotropy, Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Air Temperature, 24 Hour Maximum Temperature, 24 Hour Minimum Temperature, Land Use/Land Cover Classification | |
| Estimation of Vegetation Parameters of the VIC Model Using Remotely Sensed Data | Gomez, Edna Lucia Espinosa, Rodriguez, Leticia, Zimmermann, Erik | Albedo, Anisotropy, Reflectance, Aerosol Backscatter, Aerosol Extinction, Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosol Particle Properties, Aerosol Radiance, Carbonaceous Aerosols, Cloud Condensation Nuclei, Dust/Ash/Smoke, Nitrate Particles, Organic Particles, Particulate Matter, Sulfate Particles, Trace Gases/Trace Species, Atmospheric Emitted Radiation, Emissivity, Optical Depth/Thickness, Radiative Flux, Reflectance, Transmittance, Atmospheric Stability, Humidity, Total Precipitable Water, Water Vapor Profiles, Cloud Condensation Nuclei, Cloud Droplet Concentration/Size, Cloud Liquid Water/Ice, Cloud Optical Depth/Thickness, Cloud Asymmetry, Cloud Ceiling, Cloud Frequency, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Cloud Emissivity, Cloud Radiative Forcing, Cloud Reflectance, Rain Storms, Atmospheric Ozone, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Exploring Topography Downscaling Methods for Hyper-Resolution Land | Chen, Sisi, Li, Lu, Wei, Zhongwang, Wei, Nan, Zhang, Yonggen, Zhang, Shupeng, Yuan, Hua, Shangguan, Wei, Zhang, Shulei, Li, Qingliang, Dai, Yongjiu | Albedo, Anisotropy, Land Surface Temperature, Emissivity | |
| Identification of surface urban heat versus cool islands for arid cities depends on the choice of urban and rural definitions | Liu, Zehong, Ye, Richen, Yang, Qiquan, Hu, Ting, Liu, Yue, Chakraborty, TC, Liao, Zhenxuan | Land Use/Land Cover Classification, Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Evapotranspiration determination with satellite and reanalysis data | Consejo Nacional de Investigaciones Cientificas y Tecnicas, Instituto de Hidrologia de Llanuras, Tandil, Buenos Aires, Argentina, Degano, Maria Florencia, Rivas, Raul Eduardo, Bayala, Martin Ignacio | Reflectance, Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy | |
| Green spaces provide substantial but unequal urban cooling globally | Li, Yuxiang, Svenning, Jens-Christian, Zhou, Weiqi, Zhu, Kai, Abrams, Jesse F., Lenton, Timothy M., Ripple, William J., Yu, Zhaowu, Teng, Shuqing N., Dunn, Robert R., Xu, Chi | Aerosol Optical Depth/Thickness, Albedo, Anisotropy |
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 Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| Albedo_BSA_Band1 | Black-Sky Albedo for Band 1 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_BSA_Band2 | Black-Sky Albedo for Band 2 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_BSA_Band3 | Black-Sky Albedo for Band 3 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_BSA_Band4 | Black-Sky Albedo for Band 4 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_BSA_Band5 | Black-Sky Albedo for Band 5 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_BSA_Band6 | Black-Sky Albedo for Band 6 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_BSA_Band7 | Black-Sky Albedo for Band 6 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_BSA_nir | Black-Sky Albedo for NIR broadband | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_BSA_shortwave | Black-Sky Albedo for shortwave broadband | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_BSA_vis | Black-Sky Albedo for vis broadband | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_Band1 | White-Sky Albedo for Band 1 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_Band2 | White-Sky Albedo for Band 2 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_Band3 | White-Sky Albedo for Band 3 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_Band4 | White-Sky Albedo for Band 4 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_Band5 | White-Sky Albedo for Band 5 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_Band6 | White-Sky Albedo for Band 6 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_Band7 | White-Sky Albedo for Band 7 | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_nir | White-Sky Albedo for NIR broadband | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_shortwave | White-Sky Albedo for shortwave broadband | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| Albedo_WSA_vis | White-Sky Albedo for vis broadband | N/A | int16 | 32767 | 0 to 32766 | 0.001 | N/A |
| 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 |
| BRDF_Albedo_Band_Mandatory_Quality_nir | BRDF Albedo Mandatory Quality for NIR broadband | Bit Field | uint8 | 255 | 0 to 254 | N/A | N/A |
| BRDF_Albedo_Band_Mandatory_Quality_shortwave | BRDF Albedo Mandatory Quality for shortwave broadband | Bit Field | uint8 | 255 | 0 to 254 | N/A | N/A |
| BRDF_Albedo_Band_Mandatory_Quality_vis | BRDF Albedo Mandatory Quality for vis broadband | Bit Field | uint8 | 255 | 0 to 254 | N/A | N/A |