N: 90 S: -90 E: 180 W: -180
Description
The MCD43A4 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the MCD43A4 Version 6.1 data product.
The Moderate Resolution Imaging Spectroradiometer (MODIS) MCD43A4 Version 6 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
- 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 MCD43A4 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 (MCD43A4) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2002272), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h16v16), the Version of the data collection (006), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2016132202805), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| 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) | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Potential of hotspot solar-induced chlorophyll fluorescence for better tracking terrestrial photosynthesis | Hao, Dalei, Asrar, Ghassem R., Zeng, Yelu, Yang, Xi, Li, Xing, Xiao, Jingfeng, Guan, Kaiyu, Wen, Jianguang, Xiao, Qing, Berry, Joseph A., Chen, Min | Reflectance, Albedo, Anisotropy, Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar) | |
| Production of global daily seamless data cubes and quantification of global land cover change from 1985 to 2020 - iMap World 1.0 | Liu, Han, Gong, Peng, Wang, Jie, Wang, Xi, Ning, Grant, Xu, Bing | Reflectance, Anisotropy | |
| Modelling wildfire occurrence at regional scale from land use/cover and | Vilar, L., Herrera, S., Tafur-Garcia, E., Yebra, M., Martinez-Vega, J., Echavarria, P., Martin, M.P. | Reflectance, Anisotropy, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Multisensor fusion of remotely sensed vegetation indices using | Johnson, Margaret C, Reich, Brian J, Gray, Josh M | Reflectance, Anisotropy | |
| Mind the Gap: Generating Imputations for Satellite Data Collections at | Khandelwal, Paahuni, Rammer, Daniel, Pallickara, Shrideep, Pallickara, Sangmi Lee | Reflectance, Anisotropy | |
| Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations | Wu, Shengbiao, Wang, Jing, Yan, Zhengbing, Song, Guangqin, Chen, Yang, Ma, Qin, Deng, Meifeng, Wu, Yuntao, Zhao, Yingyi, Guo, Zhengfei, Yuan, Zuoqiang, Dai, Guanhua, Xu, Xiangtao, Yang, Xi, Su, Yanjun, Liu, Lingli, Wu, Jin | Reflectance, Anisotropy, Albedo | |
| Prospects for Long-Term Agriculture in Southern Africa: Emergent | Wei, Tiffany M., Barros, Ana P. | Aerosol Optical Depth/Thickness, Land Use/Land Cover Classification, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Air Temperature, Specific Humidity, Evapotranspiration, Wind Speed, Rain, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Cover, Snow Depth, Snow Water Equivalent, Runoff, Reflectance, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Albedo, Precipitation, Precipitation Amount, Precipitation Rate, Emissivity | |
| Modeling vegetation water stress over the forest from spaceTemperature vegetation water stress index (TVWSI) | Joshi, Rakesh Chandra, Ryu, Dongryeol, Sheridan, Gary J., Lane, Patrick N. J. | Land Surface Temperature, Emissivity, Reflectance, Anisotropy | |
| Reanalysis Surface Mass Balance of the Greenland Ice Sheet Along KTransect (20002014) | Navari, Mahdi, Margulis, Steven A., Tedesco, Marco, Fettweis, Xavier, van de Wal, Roderik S. W. | Reflectance, Anisotropy | |
| Solar position confounds the relationship between ecosystem function and vegetation indices derived from solar and photosynthetically active radiation fluxes | Rocha, Adrian V., Appel, Rose, Bret-Harte, M. Syndonia, Euskirchen, Eugenie S., Salmon, Verity, Shaver, Gaius | Reflectance, Anisotropy | |
| Reconstructing daily 30 m NDVI over complex agricultural landscapes using a crop reference curve approach | Sun, Liang, Gao, Feng, Xie, Donghui, Anderson, Martha, Chen, Ruiqing, Yang, Yun, Yang, Yang, Chen, Zhongxin | Reflectance, Anisotropy | |
| Remote sensing of environmental risk factors for malaria in different | McMahon, Andrea, Mihretie, Abere, Ahmed, Adem Agmas, Lake, Mastewal, Awoke, Worku, Wimberly, Michael Charles | Reflectance, Anisotropy, Land Surface Temperature, Emissivity, Albedo | |
| Reviews and syntheses: Ongoing and emerging opportunities to improve environmental science using observations from the Advanced Baseline Imager on the Geostationary Operational Environmental Satellites | Khan, Anam M., Stoy, Paul C., Douglas, James T., Anderson, Martha, Diak, George, Otkin, Jason A., Hain, Christopher, Rehbein, Elizabeth M., McCorkel, Joel | Reflectance, Anisotropy | |
| The effect of pixel heterogeneity for remote sensing based retrievals of evapotranspiration in a semi-arid tree-grass ecosystem | Burchard-Levine, Vicente, Nieto, Hector, Riano, David, Migliavacca, Mirco, El-Madany, Tarek S., Guzinski, Radoslaw, Carrara, Arnaud, Martin, M. Pilar | Reflectance, Anisotropy | |
| The effects of roadside woody vegetation on the surface temperature of cycle paths | Zizlavska, Nikola, Mikita, Tomas, Patocka, Zdenek | Reflectance, Anisotropy |