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 |
|---|---|---|---|
| Climate change induced declines in fuel moisture may turn currently fire-free Pyrenean mountain forests into fire-prone ecosystems | Resco de Dios, Victor, Hedo, Javier, Cunill Camprubi, Angel, Thapa, Prakash, Martinez del Castillo, Edurne, Martinez de Aragon, Juan, Bonet, Jose Antonio, Balaguer-Romano, Rodrigo, Diaz-Sierra, Ruben, Yebra, Marta, Boer, Matthias M. | Reflectance, Anisotropy | |
| Can vegetation index track the interannual variation in gross primary production of temperate deciduous forests? | Liu, Fan, Wang, Chuankuan, Wang, Xingchang | Reflectance, Anisotropy | |
| From standard weather stations to virtual micro-meteorological towers in ungauged sites: Modeling tool for surface energy fluxes, evapotranspiration, soil temperature, and soil moisture estimations | Celis, Jorge A., Moreno, Hernan A., Basara, Jeffrey B., McPherson, Renee A., Cosh, Michael, Ochsner, Tyson, Xiao, Xiangming | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Albedo | |
| Extraction of crop information through the spatiotemporal fusion of OLI and MODIS images | Oldoni, Lucas Volochen, Mercante, Erivelto, Antunes, Joao Francisco Goncalves, Cattani, Carlos Eduardo Vizzotto, Silva Junior, Carlos Antonio da, Caon, Iva Luiz, Prudente, Victor Hugo Rohden | Reflectance, Anisotropy | |
| Extreme fire weather is the major driver of severe bushfires in southeast Australia | Wang, Bin, Spessa, Allan C., Feng, Puyu, Hou, Xin, Yue, Chao, Luo, Jing-Jia, Ciais, Philippe, Waters, Cathy, Cowie, Annette, Nolan, Rachael H., Nikonovas, Tadas, Jin, Huidong, Walshaw, Henry, Wei, Jinghua, Guo, Xiaowei, Liu, De Li, Yu, Qiang | Land Use/Land Cover Classification, Reflectance, Anisotropy, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| GLC_FCS30: Global land-cover product with fine classification system at 30g m using time-series Landsat imagery | Zhang, Xiao, Liu, Liangyun, Chen, Xidong, Gao, Yuan, Xie, Shuai, Mi, Jun | Land Use/Land Cover Classification, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, RADAR IMAGERY, Reflectance, Anisotropy | |
| Estimation of pixel-level seismic vulnerability of the building environment based on mid-resolution optical remote sensing images | Fan, Xiwei, Nie, Gaozhong, Xia, Chaoxu, Zhou, Junxue | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Estimating evapotranspiration based on the satellite-retrieved near-infrared reflectance of vegetation (NIRv) over croplands | Tang, Lili, Zhang, Sha, Zhang, Jiahua, Liu, Yan, Bai, Yun | Land Use/Land Cover Classification, Reflectance, Anisotropy, Land Surface Temperature, Emissivity | |
| Estimation of dry vegetation cover and mass from MODIS data: | Wu, Jing, Kurosaki, Yasunori, Gantsetseg, Batdelger, Ishizuka, Masahide, Sekiyama, Tsuyoshi Thomas, Buyantogtokh, Batjargal, Liu, Jiaqi | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Evaluation of forest carbon uptake in South Korea using the national flux tower network, remote sensing, and data-driven technology | Cho, Sungsik, Kang, Minseok, Ichii, Kazuhito, Kim, Joon, Lim, Jong-Hwan, Chun, Jung-Hwa, Park, Chan-Woo, Kim, Hyun Seok, Choi, Sung-Won, Lee, Seung-Hoon, Indrawati, Yohana Maria, Kim, Jongho | Photosynthesis, Primary Production, Vegetation Productivity, Reflectance, Anisotropy, Land Use/Land Cover Classification | |
| Evaluation of four image fusion NDVI products against in-situ spectral-measurements over a heterogeneous rice paddy landscape | Kong, Juwon, Ryu, Youngryel, Huang, Yan, Dechant, Benjamin, Houborg, Rasmus, Guan, Kaiyu, Zhu, Xiaolin | Reflectance, Anisotropy | |
| Global fuel moisture content mapping from MODIS | Quan, Xingwen, Yebra, Marta, Riano, David, He, Binbin, Lai, Gengke, Liu, Xiangzhuo | Land Use/Land Cover Classification, Reflectance, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| GlobalScale Consistency of Spaceborne Vegetation Indices, Chlorophyll Fluorescence, and Photosynthesis | Doughty, Russell, Xiao, Xiangming, Kohler, Philipp, Frankenberg, Christian, Qin, Yuanwei, Wu, Xiaocui, Ma, Shuang, Moore, Berrien | Reflectance, Anisotropy, Photosynthesis, Primary Production, Vegetation Productivity | |
| Google Earth Engine Sentinel-3 OLCI Level-1 Dataset Deviates from the Original Data: Causes and Consequences | Prikaziuk, Egor, Yang, Peiqi, van der Tol, Christiaan | Reflectance, Anisotropy, Albedo | |
| Winter snow and spring temperature have differential effects on vegetation phenology and productivity across Arctic plant communities | Kelsey, Katharine C., Pedersen, Stine Hjlund, Leffler, A. Joshua, Sexton, Joseph O., Feng, Min, Welker, Jeffrey M. | Reflectance, Anisotropy | |
| 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 | |
| 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 | |
| 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 | |
| Kalman filter method for generating time-series synthetic Landsat images and their uncertainty from Landsat and MODIS observations | Zhou, Fuqun, Zhong, Detang | 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 | |
| Remote sensing phenological monitoring framework to characterize corn and soybean physiological growing stages | Diao, Chunyuan | Reflectance, Anisotropy, Land Surface Temperature, Emissivity, Albedo | |
| 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 | |
| Reconstruction of Cloud-free Sentinel-2 Image Time-series Using an Extended Spatiotemporal Image Fusion Approach | Zhou, Fuqun, Zhong, Detang, Peiman, Rihana | Reflectance, Anisotropy |