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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: 2026-08-10

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
Winter greening on the Tibetan Plateau induced by climate warming over Lv, Jinxia, Yang, Wei, Shen, Miaogen, Liang, Eryuan, Jiang, Yuan, Chen, Jin, Chen, Xuehong, Jiang, Nan, Liu, Licong, Zhao, Wenwu, Penuelas, Josep RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Albedo, Snow Cover, Topographical Relief Maps, Land Use/Land Cover Classification, Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
geeSEBAL-MODIS: Continental-scale evapotranspiration based on the Comini de Andrade, Bruno, Laipelt, Leonardo, Fleischmann, Ayan, Huntington, Justin, Morton, Charles, Melton, Forrest, Erickson, Tyler, Roberti, Debora R., de Arruda Souza, Vanessa, Biudes, Marcelo, Gomes Machado, Nadja, Antonio Costa dos Santos, Carlos, Cosio, Eric G., Ruhoff, Anderson Land Use/Land Cover Classification, Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
Global Carbon Fluxes Using Multioutput Gaussian Processes Regression and MODIS Products Campos-Taberner, Manuel, Gilabert, Maria Amparo, Sanchez-Ruiz, Sergio, Martinez, Beatriz, Jimenez-Guisado, Adrian, Garcia-Haro, Francisco Javier, Guanter, Luis Reflectance, Anisotropy, Photosynthesis, Primary Production, Vegetation Productivity, Evapotranspiration, Latent Heat Flux, Land Use/Land Cover Classification
Greening-Induced Biophysical Impacts Lead to Earlier Spring and Autumn Guo, Jing, Wang, Jinmei, Qiao, Yuxin, Huang, Xu, Smith, Nicholas G., Liu, Zhiyong, Zhang, Rui, Chen, Xiuzhi, Wu, Chaoyang, Penuelas, Josep, Chen, Lei Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy, Land Use/Land Cover Classification, Albedo, Plant Phenology, Enhanced Vegetation Index (EVI), Evapotranspiration, Latent Heat Flux
Analysis of Remote Sensing Evapotranspiration Models in the Caatinga: Understanding Temporal and Spatial Variations Pedro da Silva Neto, Epitacio, Alencar Bezerra, Ulisses, Holanda Oliveira, Sabrina, Cunha, John Reflectance, Anisotropy
Assessing Drought Impacts on Gross Primary Productivity of Rubber Li, Weiguang, Hou, Meiting, Liu, Shaojun, Zhang, Jinghong, Zou, Haiping, Chen, Xiaomin, Bai, Rui, Lv, Run, Hou, Wei Reflectance, Anisotropy
Burn Severity and Post-Fire Weather Are Key to Predicting Rifai, Sami W., De Kauwe, Martin G., Gallagher, Rachael V., Cernusak, Lucas A., Meir, Patrick, Pitman, Andy J. Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Characteristics, Photosynthetically Active Radiation, Reflectance, Anisotropy, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area
CO2 fluxes of vegetation in the Greenbelt of Ontario and increased net ecosystem emissions associated with its removal Madsen, Sabrina, Wu, Dien, Halim, Md Abdul, Wunch, Debra Urban Lands, Land Use/Land Cover, Urbanization/Urban Sprawl, Infrastructure, Land Use/Land Cover Classification, Reflectance, Anisotropy
EMET: An emergence-based thermal phenological framework for near Yang, Zijun, Diao, Chunyuan, Gao, Feng, Li, Bo Reflectance, Anisotropy
Ecological Dissimilarity Matters More Than Geographical Distance When Predicting Land Surface Indicators Using Machine Learning Zhou, Bo, Okin, Gregory S., Zhang, Junzhe, Savage, Shannon L., Cole, Christopher J., Duniway, Michael C. Reflectance, Anisotropy, Albedo
Dominance and rarity in tree communities across the globe: Patterns Hordijk, Iris, BialicMurphy, Lalasia, Lauber, Thomas, Routh, Devin, Poorter, Lourens, Rivers, Malin C., ter Steege, Hans, Liang, Jingjing, Reich, Peter B., deMiguel, Sergio, Nabuurs, GertJan, Gamarra, Javier G. P., Chen, Han Y. H., Zhou, Mo, Wiser, Susan K., Pretzsch, Hans, Paquette, Alain, Picard, Nicolas, Herault, Bruno, Bastin, JeanFrancois, Alberti, Giorgio, Abegg, Meinrad, Adou Yao, Yves C., Almeyda Zambrano, Angelica M., Alvarado, Braulio V., AlvarezDavila, Esteban, AlvarezLoayza, Patricia, Alves, Luciana F., Ammer, Christian, AntonFernandez, Clara, AraujoMurakami, Alejandro, Arroyo, Luzmila, Avitabile, Valerio, Aymard Corredor, Gerardo A., Baker, Timothy, Banki, Olaf, Barroso, Jorcely, Bastian, Meredith L., Birigazzi, Luca, Birnbaum, Philippe, Bitariho, Robert, Boeckx, Pascal, Bongers, Frans, Bouriaud, Olivier, Brancalion, Pedro H. S., Brandl, Susanne, Brienen, Roel, Broadbent, Eben N., Bruelheide, Helge, Bussotti, Filippo, Gatti, Roberto Cazzolla, Cesar, Ricardo G., Cesljar, Goran, Chazdon, Robin, Chisholm, Chelsea, Cienciala, Emil, Clark, Connie J., Clar, David B., Colletta, Gabriel, Coomes, David, Valverde, Fernando Cornejo, CorralRivas, Jose J., Crim, Philip, Cumming, Jonathan, Dayanandan, Selvadurai, de Gasper, Andre L., Decuyper, Mathieu, Derroire, Geraldine, DeVries, Ben, Djordjevic, Ilija, Ieda, Amaral, Dourdain, Aurelie, Dolezal, Jiri, Obiang, Nestor Laurier Engone, Enquist, Brian, Eyre, Teresa, Fandohan, Adande Belarmain, Fayle, Tom M., Ferreira, Leandro V., Feldpausch, Ted R., Finer, Leena, Fischer, Markus, Fletcher, Christine, Frizzera, Lorenzo, Gianelle, Damiano, Glick, Henry B., Harris, David, Hector, Andrew, Hemp, Andreas, Hengeveld, Geerten, Herbohn, John, Hillers, Annika, Honorio Coronado, Euridice N., Hui, Cang, Cho, Hyunkook, Ibanez, Thomas, Jung, Ilbin, Imai, Nobuo, Jagodzinski, Andrzej M., Jaroszewicz, Bogdan, Johannsen, Vivian, Joly, Carlos A., Jucker, Tommaso, Karminov, Viktor, Kartawinata, Kuswata, Kearsley, Elizabeth, Kenfack, David, Kennard, Deborah, KepferRojas, Sebastian, Keppel, Gunnar, Khan, Mohammed Latif, Killeen, Timothy, Kim, Hyun Seok, Kitayama, Kanehiro, Kohl, Michael, Korjus, Henn, Kraxner, Florian, Laarmann, Diana, Lang, Mait, Lewis, Simon, Lu, Huicui, Lukina, Natalia, Maitner, Brian, Malhi, Yadvinder, Marcon, Eric, Marimon, Beatriz Schwantes, MarimonJunior, Ben Hur, Marshall, Andrew Robert, Martin, Emanuel, Martynenko, Olga, Meave, Jorge A., MeloCruz, Omar, Mendoza, Casimiro, Merow, Cory, Miscicki, Stanislaw, Mendoza, Abel Monteagudo, Moreno, Vanessa, Mukul, Sharif A., Mundhenk, Philip, NavaMiranda, Maria G., Neill, David, Neldner, Victor, Nevenic, Radovan, Ngugi, Michael, Niklaus, Pascal A., Oleksyn, Jacek, Ontikov, Petr, OrtizMalavasi, Edgar, Pan, Yude, ParadaGutierrez, Alexander, Parfenova, Elena, Park, Minjee, Parren, Marc, Parthasarathy, Narayanaswamy, Peri, Pablo L., Pfautsch, Sebastian, Phillips, Oliver L., Piedade, Maria Teresa, Piotto, Daniel, Pitman, Nigel C. A., Polo, Irina, Poulsen, Axel Dalberg, Poulsen, John R., Arevalo, Freddy Ramirez, RestrepoCorrea, Zorayda, Rodeghiero, Mirco, Rolim, Samir, Roopsind, Anand, Rovero, Francesco, Rutishauser, Ervan, Saikia, Purabi, SalasEljatib, Christian, Schall, Peter, Schepaschenko, Dmitry, SchererLorenzen, Michael, Schmid, Bernhard, Schongart, Jochen, Searle, Eric B., Seben, Vladimir, SerraDiaz, Josep M., Sheil, Douglas, Shvidenko, Anatoly, SilvaEspejo, Javier, Silveira, Marcos, Singh, James, Sist, Plinio, Slik, Ferry, Sonke, Bonaventure, Souza, Alexandre F., Sterenczak, Krzysztof, Svenning, JensChristian, Svoboda, Miroslav, Swanepoel, Ben, Targhetta, Natalia, Tchebakova, Nadja, Thomas, Raquel, Tikhonova, Elena, Umunay, Peter, Usoltsev, Vladimir, Valencia, Renato, Valladares, Fernando, van der Plas, Fons, Van Do, Tran, Van Nuland, Michael E., Martinez, Rodolfo Vasquez, Verbeeck, Hans, Viana, Helder, Vibrans, Alexander C., Vieira, Simone, von Gadow, Klaus, Wang, HuaFeng, Watson, James, Werner, Gijsbert D. A., Wittmann, Florian, Wortel, Verginia, Zagt, Roderick, ZawilaNiedzwiecki, Tomasz, Zhang, Chunyu, Zhao, Xiuhai, Zhu, ZhiXin, ZoBi, Irie Casimir, Maynard, Daniel S., Crowther, Thomas W. Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy
Coupling GEDI LiDAR and Optical Satellite for Revealing Large-Scale Zhang, Qiang, Zhang, Geli, Zhang, Yao, Xiao, Xiangming, You, Nanshan, Li, Zhichao, Tang, Hao, Yang, Tong, Di, Yuanyuan, Dong, Jinwei Reflectance, Anisotropy, Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height
Daily DeepCropNet: A hierarchical deep learning approach with daily time Xiong, Xingguo, Zhong, Renhai, Tian, Qiyu, Huang, Jingfeng, Zhu, Linchao, Yang, Yi, Lin, Tao Reflectance, Anisotropy
Enhancing long-term vegetation monitoring in Australia: a new approach for harmonising the Advanced Very High Resolution Radiometer normalised ... Burton, Chad A., Rifai, Sami W., Renzullo, Luigi J., Van Dijk, Albert I. J. M. Reflectance, Anisotropy
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
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
Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield Chen, Jiang, Yu, Tong, Cherney, Jerome H., Zhang, Zhou Reflectance, Anisotropy
STEEP: A remotely-sensed energy balance model for evapotranspiration Bezerra, Ulisses A., Cunha, John, Valente, Fernanda, Nobrega, Rodolfo L.B., Andrade, Joao M., Moura, Magna S.B., Verhoef, Anne, Perez-Marin, Aldrin M., Galvao, Carlos O. Reflectance, Anisotropy, Evapotranspiration, Latent Heat Flux
Skill and lead time of vegetation drought impact forecasts based on soil moisture observations Li, Yizhi, van Dijk, Albert I.J.M., Tian, Siyuan, Renzullo, Luigi J. Land Use/Land Cover Classification, Reflectance, Anisotropy
Seasonal forecast of soil moisture over Mediterranean-climate forest Chandra Joshi, Rakesh, Ryu, Dongryeol, Lane, Patrick N.J., Sheridan, Gary J. Land Surface Temperature, Emissivity, Reflectance, Anisotropy
Satellite solarinduced chlorophyll fluorescence tracks physiological drought stress development during 2020 southwest US drought Zhang, Yao, Fang, Jianing, Smith, William Kolby, Wang, Xian, Gentine, Pierre, Scott, Russell L., Migliavacca, Mirco, Jeong, Sujong, Litvak, Marcy, Zhou, Sha Reflectance, Anisotropy
Unravelling geological controls on groundwater flow and surface Marti, Etienne, Leray, Sarah, Villela, Daniela, Maringue, Jose, Yanez, Gonzalo, Salazar, Esteban, Poblete, Fernando, Jimenez, Jose, Reyes, Gabriela, Poblete, Guillermo, Huaman, Zeidy, Figueroa, Ronny, Araya Vargas, Jaime, Sanhueza, Jorge, Munoz, Marjorie, Charrier, Reynaldo, Fernandez, Gabriel Reflectance, Anisotropy
Utilization of synthetic minority oversampling technique for improving potato yield prediction using remote sensing data and machine learning algorithms with small ... Ebrahimy, Hamid, Wang, Yi, Zhang, Zhou Reflectance, Anisotropy, Land Surface Temperature, Emissivity
Forage mass estimation in a mixed pasture by machine learning, pasture Guevara-Escobar, Aurelio, Cervantes-Jimenez, Monica, Lemus-Ramirez, Vicente, Yabuta-Osorio, Adolfo Kunio, Garcia-Muniz, Jose Guadalupe Reflectance, Anisotropy
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