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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

The following changes and improvements were implemented for inputs to MODIS Version 6 BRDF/Albedo Parameter data products: (1) Observations are weighted to estimate the BRDF/Albedo on the ninth day of the 16-day period, (2) Products utilize the snow status weighted to the ninth day, (3) Enhanced quality at high latitudes achieved through the utilization of all available observations during the acquisition period, (4) Products utilize L2G-lite surface reflectance as input, and (5) In instances where there are insufficient high-quality reflectances, a database containing archetypal BRDF parameters is employed to supplement the observational data and perform a lower-quality magnitude inversion.

Product Summary

Platforms
Terra ,
Aqua
Instruments
MODIS
Projects
TERRA ,
Aqua
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
500 Meters x 500 Meters
Spatial Reference System(s)
MODIS Sinusoidal Tiling System
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2000-02-16 to 2023-02-17
Temporal Resolution
1 Day
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC) ,
School for the Environment, University of Massachusetts, Boston (UMASS-B/SFE) ,
MODIS Adaptive Processing System, Terrestrial Information Systems Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA (NASA/GSFC/SED/ESD/TISL/MODAPS)
Concept ID
C2763289471-LPCLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
3
Published
Updated
Science Keywords
Reflectance ,
Anisotropy

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.

Copy Citation

Schaaf, C., & Wang, Z. (2015). MCD43A4 MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF Adjusted Ref Daily L3 Global - 500m V006 [Dataset]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MCD43A4.006 Date Accessed: 2026-08-11

File Naming Convention

MCD43A4.A2002272.h16v16.006.2016132202805.hdf

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

Publications Citing This Dataset

Filters
Title Year Author Topic
Thirty-eight years of CO2 fertilization has outpaced growing aridity to drive greening of Australian woody ecosystems Rifai, Sami W., De Kauwe, Martin G., Ukkola, Anna M., Cernusak, Lucas A., Meir, Patrick, Medlyn, Belinda E., Pitman, Andy J. Reflectance, Anisotropy, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar)
The restoration potential of the grasslands on the Tibetan Plateau Wang, Ruijing, Feng, Qisheng, Jin, Zheren, Liang, Tiangang Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
TROPOMI SIF reveals large uncertainty in estimating the end of plant growing season from vegetation indices data in the Tibetan Plateau Yang, Jilin, Xiao, Xiangming, Doughty, Russell, Zhao, Miaomiao, Zhang, Yao, Kohler, Philipp, Wu, Xiaocui, Frankenberg, Christian, Dong, Jinwei Reflectance, Anisotropy, Land Use/Land Cover Classification, Albedo
Forecasting vegetation condition with a bayesian auto-regressive distributed lags (bardl) model Salakpi, Edward E., Hurley, Peter D., Muthoka, James M., Barrett, Adam B., Bowell, Andrew, Oliver, Seb, Rowhani, Pedram Reflectance, Anisotropy
Global estimates of 500 m daily aerodynamic roughness length from MODIS data Peng, Zhong, Tang, Ronglin, Jiang, Yazhen, Liu, Meng, Li, Zhao-Liang Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
Estimation of 1-km Resolution All-Sky Instantaneous Erythemal UV-B with Zhao, Ruixue, He, Tao Aerosol Optical Depth/Thickness, Atmospheric Ozone, Reflectance, Reflectance, Anisotropy
Estimation of actual evapotranspiration using TDTM model and MODIS derived variables Ruiz-Alvarez, Marcos, Gomariz-Castillo, Francisco, Alonso-Sarria, Francisco, Lopez-Ballesteros, Ana Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Albedo, Anisotropy, Land Surface Temperature, Emissivity, Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance
Exploring the potential role of environmental and multi-source satellite Li, Zhenwang, Ding, Lei, Xu, Dawei RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Surface Temperature, Emissivity, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy
Global trends in vegetation fractional cover: Hotspots for change in bare soil and non-photosynthetic vegetation Hill, Michael J., Guerschman, Juan P. Reflectance, Anisotropy, Albedo
An enhanced spatiotemporal fusion method Implications for DNN based time-series LAI estimation by using Sentinel-2 and MODIS Li, Yan, Ren, Yanzhao, Gao, Wanlin, Jia, Jingdun, Tao, Sha, Liu, Xinliang Reflectance, Anisotropy
An exploration of solar-induced chlorophyll fluorescence (SIF) factors simulated by SCOPE for capturing GPP across vegetation types Yang, Songxi, Yang, Jian, Shi, Shuo, Song, Shalei, Zhang, Yangyang, Luo, Yi, Du, Lin Reflectance, Anisotropy, Heat Flux, Air Temperature, Skin Temperature, Specific Humidity, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, Wind Speed, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Geopotential Height, Atmospheric Ozone, Pressure Thickness, Sea Level Pressure, Surface Pressure, Upper Air Temperature, Atmospheric Water Vapor, Cloud Liquid Water/Ice, Cloud Fraction, U/V Wind Components, Ozone Profiles, Photosynthesis, Primary Production, Vegetation Productivity, Atmospheric Radiation, Longwave Radiation, Shortwave Radiation, Radiative Flux, Radiative Forcing, Surface Radiative Properties, Albedo, Emissivity, Cloud Properties, Cloud Optical Depth/Thickness, Skin Temperature, Sea Surface Skin Temperature, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar)
An operational downscaling method of solar-induced chlorophyll fluorescence (SIF) for regional drought monitoring Hong, Zhiming, Hu, Yijie, Cui, Changlu, Yang, Xining, Tao, Chongxin, Luo, Weiran, Zhang, Wen, Li, Linyi, Meng, Lingkui Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy
A dynamic hierarchical Bayesian approach for forecasting vegetation condition Salakpi, Edward E., Hurley, Peter D., Muthoka, James M., Bowell, Andrew, Oliver, Seb, Rowhani, Pedram Reflectance, Anisotropy
A Reconstructed Global Daily Seamless SIF Product at 0.05 Degree Hu, Jiaochan, Jia, Jia, Ma, Yan, Liu, Liangyun, Yu, Haoyang Reflectance, Anisotropy, Albedo
A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data set Walther, Sophia, Besnard, Simon, Nelson, Jacob Allen, El-Madany, Tarek Sebastian, Migliavacca, Mirco, Weber, Ulrich, Carvalhais, Nuno, Ermida, Sofia Lorena, Brummer, Christian, Schrader, Frederik, Prokushkin, Anatoly Stanislavovich, Panov, Alexey Vasilevich, Jung, Martin Land Surface Temperature, Emissivity, Reflectance, Anisotropy, Albedo
A hierarchical category structure based convolutional recurrent neural network (HCS-ConvRNN) for Land-Cover classification using dense MODIS Time-Series data Li, Jiayi, Zhang, Ben, Huang, Xin Land Use/Land Cover Classification, Reflectance, Anisotropy
A new spatialtemporal depthwise separable convolutional fusion network for generating Landsat 8-day surface reflectance time series over forest regions Zhang, Yuzhen, Liu, Jindong, Liang, Shunlin, Li, Manyao Reflectance, Anisotropy
A model framework to investigate the role of anomalous land surface processes in the amplification of summer drought across Ireland during 2018 Ishola, Kazeem A., Mills, Gerald, Fealy, Reamonn M., Fealy, Rowan Reflectance, Anisotropy, Land Surface Temperature, Emissivity
A Bayesian Domain Adversarial Neural Network for Corn Yield Prediction Ma, Yuchi, Zhang, Zhou Reflectance, Anisotropy
Biogeographic variability in wildfire severity and post-fire vegetation recovery across the European forests via remote sensing-derived spectral metrics Nole, Angelo, Rita, Angelo, Spatola, Maria Floriana, Borghetti, Marco Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area
Carbon and Water Cycling in Two Rubber Plantations and a Natural Forest Wang, Xueqian, Blanken, Peter D., Kasemsap, Poonpipope, Petchprayoon, Pakorn, Thaler, Philippe, Nouvellon, Yann, Gay, Frederic, Chidthaisong, Amnat, Sanwangsri, Montri, Chayawat, Chompunut, Chantuma, Pisamai, Sathornkich, Jate, Kaewthongrach, Rungnapa, Satakhun, Duangrat, Phattaralerphong, Jessada Reflectance, Anisotropy
Bayesian additive regression trees in spatial data analysis with sparse Kim, Chanmin Reflectance, Anisotropy, Fossil Fuel Burning, Atmospheric Carbon Dioxide
Bayesian atmospheric correction over land: Sentinel-2/MSI and Landsat Yin, Feng, Lewis, Philip E., Gomez-Dans, Jose L. Reflectance, Anisotropy
Developing and evaluating the feasibility of a new spatiotemporal fusion framework to improve remote sensing reflectance and dynamic LAI monitoring Li, Yan, Gao, Wanlin, Jia, Jingdun, Tao, Sha, Ren, Yanzhao Reflectance, Anisotropy
Deep learning models to map an agricultural expansion area with MODIS Luo, Dong, Caldas, Marcellus M., Yang, Huichen Reflectance, Anisotropy
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