N: 90 S: -90 E: 180 W: -180
Description
The MCD43A3 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MCD43A3 Version 6.1 data product.
The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A3 Version 6 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.
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.
Users are also 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.
Known Issues
- The incorrect representation of the aerosol quantities (low average high) in the C6 MYD09 and MOD09 surface reflectance products may have impacted downstream products particularly over arid bright surfaces. This (and a few other issues) have been corrected for C6.1. Therefore users should avoid substantive use of the C6 MCD43 products and wait for the C6.1 products. In any event, users are always strongly encouraged to download and use the extensive QA data provided in MCD43A2, in addition to the briefer mandatory QAs provided as part of the MCD43A1, 3, and 4 products.
- Corrections were implemented in Collection 6.1 reprocessing.
- For complete information about the MCD43A3 known issues refer to the MODIS 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 (A2002272), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h23v15), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2016132202442), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Land Surface Temperature Shows Negligible Difference Between Inside and | Duan, Chunhui, Han, Cunbo, Hu, Wei, Liu, Jiawei, Ma, Yaoming | Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Dynamic Lake Ice Conditions Shape Caribou WaterCrossing Behavior in the Arctic | Liao, Qianru, Gurarie, Eliezer, Fagan, William F. | Land Use/Land Cover Classification, Albedo, Anisotropy | |
| Enhancing climate mitigation: photovoltaic deployment as a complement to afforestation | Liu, Jia, Zhang, Yongguang | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Albedo, Anisotropy | |
| Gradient-explicit assessment of surface urban heat island intensity in subtropical megacities | Cheng, Zilang, Li, Qinshan, Zhou, Siyu, Bei, Qianyi, Lin, Zhuoyan, Lin, Hongzhang, Xie, Jing, Xue, Desheng | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Evapotranspiration, Latent Heat Flux, Land Surface Temperature, Emissivity, 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 | |
| Systematic evaluation of atmospheric forcing, surface datasets, and mesh | Li, Lingcheng, Bisht, Gautam, Xu, Donghui, Hao, Dalei, Liao, Chang, Feng, Dongyu, Tan, Zeli, Li, Hongyi, Shi, Mingjie, Zhou, Tian, Leung, L. Ruby | Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Productivity, Albedo, Anisotropy, Albedo, Snow Cover | |
| Vegetation greening reduces land surface temperature differences between | Cui, Guishan, Ding, Nengyang, Liu, Duqi, Xu, Zhen | Albedo, Snow Cover, Albedo, Anisotropy, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity | |
| Record-breaking glacier mass loss in Central Asia in 2025 | Tricht, Lander Van, Kneib, Marin, Huss, Matthias, Zekollari, Harry, Azisov, Erlan, Barandun, Martina, Belekov, Sultan, Fiddes, Joel, Hoelzle, Martin, Kabutov, Khusrav, Kapitsa, Vassiliy, Kassatkin, Nikolay, Kenzhebaev, Ruslan, Makeshov, Adilet, Mattea, Enrico, Miles, Evan, Navruzshoev, Hofiz, Ponds, Magali, Popovnin, Victor, Rybak, Oleg, Saks, Tomas, Satylkanov, Rysbek, Umirzakov, Gulomjon, Xie, Ying, Wei, Yang, Farinotti, Daniel | Albedo, Anisotropy | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Mitigating Topographic Effects in Optical Remote Sensing: From surface | Ma, Yichuan, Liang, Shunlin, He, Tao, Wen, Jianguang, Li, Ainong, Ma, Han, Yao, Yunjun, Xu, Jianglei, Li, Wenyuan, Zhang, Yuxiang | Albedo, Anisotropy | |
| Investigating LST evolution and heatwave patterns using machine learning in the Beijing-Tianjin-Hebei Urban agglomeration | Liu, Chen, Zhang, Maomao | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Albedo, Anisotropy, Land Use/Land Cover Classification, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Land Surface Temperature, Emissivity | |
| Effect of topographic factors on the spatial distribution of surface | Chu, Yaoyao, Sun, Hao, Gao, Jinhua, Yang, Zhibo, Guo, Wenshuo, Pei, Haoyu | Albedo, Anisotropy, Land Surface Temperature, Emissivity, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Evapotranspiration, Latent Heat Flux | |
| Validation of TROPOMI and WRF-Chem NO2 across seasons using | Pasternak, Antoine, Muller, Jean-Francois, Poraicu, Catalina, Merlaud, Alexis, Tack, Frederik, Stavrakou, Trissevgeni | 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 | |
| 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 | |
| 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) | |
| 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 | |
| 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 |
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 |