N: 90 S: -90 E: 180 W: -180
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
- 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 (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
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| 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 | |
| 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 | |
| Crop water origins and hydroclimate vulnerability of global croplands | Jiang, Yan, Burney, Jennifer A. | Reflectance, Anisotropy, Vegetation Cover, Cropland | |
| 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) | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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, Surface Soil Moisture | |
| 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 | |
| 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 | |
| Evaluating the predictability of SIF at multiple temporal scales for | Zhou, Litao, Lin, Jingyu, Du, Ruohua, Yang, Rui, Bao, Jiayu, Yuan, Hao, Gao, Shichen, Chen, Pengzhou, Feng, Xinyao, Mao, Ting, Wu, Jianjun | Reflectance, Anisotropy | |
| The role of rivers in the origin and future of Amazonian biodiversity | Ribas, Camila C., Sawakuchi, Andre O., de Almeida, Renato Paes, Pupim, Fabiano N., Rego, Marco A., Batista, Romina, Knowles, L. Lacey | 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 | |
| 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 | |
| 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 | |
| Resistance of grassland productivity to drought and heatwave over a temperate semi-arid climate zone | Huang, Yangbin, Lei, Huimin, Duan, Limin | Reflectance, Anisotropy | |
| Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield | Chen, Jiang, Yu, Tong, Cherney, Jerome H., Zhang, Zhou | Reflectance, Anisotropy | |
| Spatiotemporal variation of spring phenology and the corresponding scale | Zhu, Chongjing, She, Xiaojun, Gao, Xiaojie, Huang, Yajun, Zeng, Yelu, Ding, Chao, Fu, Dongjie, Shao, Jing, Li, Yao | Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Using phenology to unravel differential soil water use and productivity in a semiarid savanna | Steiner, Blake, Scott, Russell L., Hu, Jia, MacBean, Natasha, Richardson, Andrew, Moore, David J. P. | Reflectance, Anisotropy | |
| Using automated machine learning for the upscaling of gross primary productivity | Gaber, Max, Kang, Yanghui, Schurgers, Guy, Keenan, Trevor | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy, Primary Production, Gross Primary Production (gpp) |