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 |
|---|---|---|---|
| Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest | Kang, Yanghui, Ozdogan, Mutlu, Zhu, Xiaojin, Ye, Zhiwei, Hain, Christopher, Anderson, Martha | Land Use/Land Cover Classification, Reflectance, Anisotropy, Land Surface Temperature, Emissivity | |
| Comparison of two satellite-based soil moisture reconstruction algorithmsA case study in the state of Oklahoma, USA | Liu, Yangxiaoyue, Yao, Ling, Jing, Wenlong, Di, Liping, Yang, Ji, Li, Yong | Land Surface Temperature, Emissivity, Reflectance, Anisotropy, Total Surface Water | |
| Long-term changes of surface albedo and vegetation indices in north of Iran | Sabziparvar, Ali Akbar, Ghahfarokhi, Seyedeh Mina Mousavi, Khorasani, Hossein Torabzadeh | Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Leveraging Google Earth Engine (GEE) and machine learning algorithms to incorporate in situ measurement from different times for rangelands monitoring | Zhou, Bo, Okin, Gregory S., Zhang, Junzhe | Reflectance, Anisotropy, Albedo | |
| Landsat analysis ready data for global land cover and land cover change mapping | Potapov, Peter, Hansen, Matthew C., Kommareddy, Indrani, Kommareddy, Anil, Turubanova, Svetlana, Pickens, Amy, Adusei, Bernard, Tyukavina, Alexandra, Ying, Qing | Reflectance, Anisotropy | |
| Investigating the impact of the temporal resolution of MODIS data on measured phenology in the prairie grasslands | Cui, Tengfei, Martz, Lawrence, Zhao, Liang, Guo, Xulin | Reflectance, Anisotropy | |
| Kalman filter method for generating time-series synthetic Landsat images and their uncertainty from Landsat and MODIS observations | Zhou, Fuqun, Zhong, Detang | Reflectance, Anisotropy | |
| Postfire recruitment failure in Scots pine forests of southern Siberia | Barrett, Kirsten, Baxter, Robert, Kukavskaya, Elena, Balzter, Heiko, Shvetsov, Evgeny, Buryak, Ludmila | Reflectance, Anisotropy | |
| Precipitation and minimum temperature are primary climatic controls of alpine grassland autumn phenology on the Qinghai-Tibet plateau | An, Shuai, Chen, Xiaoqiu, Zhang, Xiaoyang, Lang, Weiguang, Ren, Shilong, Xu, Lin | Reflectance, Anisotropy, Albedo | |
| Spatial heterogeneity of climate variation and vegetation response for Arctic and high-elevation regions from 20012018 | Wu, Wenjin, Sun, Xiaohui, Epstein, Howard, Xu, Xiyan, Li, Xinwu | Reflectance, Anisotropy, Land Surface Temperature, Emissivity | |
| Sensitivity of surface fluxes in the ECMWF land surface model to the remotely sensed leaf area index and root distributionEvaluation with tower flux data | Stevens, David, Miranda, Pedro M. A., Orth, Rene, Boussetta, Souhail, Balsamo, Gianpaolo, Dutra, Emanuel | Reflectance, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Reconstruction of Cloud-free Sentinel-2 Image Time-series Using an Extended Spatiotemporal Image Fusion Approach | Zhou, Fuqun, Zhong, Detang, Peiman, Rihana | Reflectance, Anisotropy | |
| Rapid assessment of hillslope erosion risk after the 20192020 wildfires and storm events in sydney drinking water catchment | Yang, Xihua, Zhang, Mingxi, Oliveira, Lorena, Ollivier, Quinn R., Faulkner, Shane, Roff, Adam | Reflectance, Anisotropy | |
| Satellite observations of forest resilience to hurricanes along the northern Gulf of Mexico | Gang, Chengcheng, Pan, Shufen, Tian, Hanqin, Wang, Zhuonan, Xu, Rongting, Bian, Zihao, Pan, Naiqing, Yao, Yuanzhi, Shi, Hao | Reflectance, Anisotropy | |
| Re-understanding of land surface albedo and related terms in satellite-based retrievals | Shuai, Yanmin, Tuerhanjiang, Latipa, Shao, Congying, Gao, Feng, Zhou, Yuyu, Xie, Donghui, Liu, Tao, Liang, Ji, Chu, Nan | Land Use/Land Cover Classification, Reflectance, Anisotropy, Albedo | |
| Recent global decline of CO2 fertilization effects on vegetation | Wang, Songhan, Zhang, Yongguang, Ju, Weimin, Chen, Jing M., Ciais, Philippe, Cescatti, Alessandro, Sardans, Jordi, Janssens, Ivan A., Wu, Mousong, Berry, Joseph A., Campbell, Elliott, Fernandez-Martinez, Marcos, Alkama, Ramdane, Sitch, Stephen, Friedlingstein, Pierre, Smith, William K., Yuan, Wenping, He, Wei, Lombardozzi, Danica, Kautz, Markus, Zhu, Dan, Lienert, Sebastian, Kato, Etsushi, Poulter, Benjamin, Sanders, Tanja G. M., Kruger, Inken, Wang, Rong, Zeng, Ning, Tian, Hanqin, Vuichard, Nicolas, Jain, Atul K., Wiltshire, Andy, Haverd, Vanessa, Goll, Daniel S., Penuelas, Josep | Reflectance, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Reconstruction of cloud-free sentinel-2 image time-series using an extended spatiotemporal image fusion approach | Kuibida, Roman, Moroz, Liana, Smaliuk, Roman | Reflectance, Anisotropy | |
| Reconstruction of high-temporal-and high-spatial-resolution reflectance datasets using difference construction and bayesian unmixing | Yang, Lei, Song, Jinling, Han, Lijuan, Wang, Xin, Wang, Jing | Land Use/Land Cover Classification, Reflectance, Anisotropy | |
| Remote sensing estimation of the soil erosion cover-management factor for China's Loess Plateau | Yang, Xihua, Zhang, Xiaoping, Lv, Du, Yin, Shuiqing, Zhang, Mingxi, Zhu, Qinggaozi, Yu, Qiang, Liu, Baoyuan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Remote sensing monitoring of vegetation dynamic changes after fire in the Greater Hinggan mountain areaThe algorithm and application for eliminating phenological impacts | Huang, Zhibin, Cao, Chunxiang, Chen, Wei, Xu, Min, Dang, Yongfeng, Singh, Ramesh, Bashir, Barjeece, Xie, Bo, Lin, Xiaojuan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages | Diao, Chunyuan | Reflectance, Anisotropy, Land Surface Temperature, Emissivity, Albedo | |
| The MODIS Global Vegetation Fractional Cover Product 2001-2018: | Hill, Michael J., Guerschman, Juan P. | Reflectance, Anisotropy | |
| Spatial quantification to examine the effectiveness of payments for | Havinga, Ilan, Hein, Lars, Vega-Araya, Mauricio, Languillaume, Antoine | Reflectance, Anisotropy, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| STAIR 2.0A generic and automatic algorithm to fuse MODIS, Landsat, and Sentinel-2 to generate 10 m, daily, and cloud-/gap-free surface reflectance product | Luo, Yunan, Guan, Kaiyu, Peng, Jian, Wang, Sibo, Huang, Yizhi | Reflectance, Anisotropy | |
| Sun-induced fluorescence closely linked to ecosystem transpiration as | Maes, Wouter H., Pagan, Brianna R., Martens, Brecht, Gentine, Pierre, Guanter, Luis, Steppe, Kathy, Verhoest, Niko E.C., Dorigo, Wouter, Li, Xing, Xiao, Jingfeng, Miralles, Diego G. | Reflectance, Anisotropy |