N: 90 S: -90 E: 180 W: -180
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The submitted value 10 in the Items element is not allowed.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 |
|---|---|---|---|
| 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 | |
| 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 | |
| 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 | |
| Spatiotemporal variation of spring phenology and the corresponding scale | Zhu, Chongjing, She, Xiaojun, Gao, Xiaojie, Huang, Yajun, Zeng, Yelu, Ding, Chao, Fu, Dongjie, Shao, Jing, Li, Yao | Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Resistance of grassland productivity to drought and heatwave over a temperate semi-arid climate zone | Huang, Yangbin, Lei, Huimin, Duan, Limin | Reflectance, Anisotropy | |
| Using automated machine learning for the upscaling of gross primary productivity | Gaber, Max, Kang, Yanghui, Schurgers, Guy, Keenan, Trevor | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity, Photosynthetically Active Radiation, Leaf Area Index (LAI), Leaf Characteristics, Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Reflectance, Anisotropy, Primary Production, Gross Primary Production (gpp) | |
| Using phenology to unravel differential soil water use and productivity in a semiarid savanna | Steiner, Blake, Scott, Russell L., Hu, Jia, MacBean, Natasha, Richardson, Andrew, Moore, David J. P. | Reflectance, Anisotropy | |
| X-BASE: the first terrestrial carbon and water flux products from an | Nelson, Jacob A., Walther, Sophia, Gans, Fabian, Kraft, Basil, Weber, Ulrich, Novick, Kimberly, Buchmann, Nina, Migliavacca, Mirco, Wohlfahrt, Georg, Sigut, Ladislav, Ibrom, Andreas, Papale, Dario, Gockede, Mathias, Duveiller, Gregory, Knohl, Alexander, Hortnagl, Lukas, Scott, Russell L., Dusek, Jiri, Zhang, Weijie, Hamdi, Zayd Mahmoud, Reichstein, Markus, Aranda-Barranco, Sergio, Ardo, Jonas, Op de Beeck, Maarten, Billesbach, Dave, Bowling, David, Bracho, Rosvel, Brummer, Christian, Camps-Valls, Gustau, Chen, Shiping, Cleverly, Jamie Rose, Desai, Ankur, Dong, Gang, El-Madany, Tarek S., Euskirchen, Eugenie Susanne, Feigenwinter, Iris, Galvagno, Marta, Gerosa, Giacomo A., Gielen, Bert, Goded, Ignacio, Goslee, Sarah, Gough, Christopher Michael, Heinesch, Bernard, Ichii, Kazuhito, Jackowicz-Korczynski, Marcin Antoni, Klosterhalfen, Anne, Knox, Sara, Kobayashi, Hideki, Kohonen, Kukka-Maaria, Korkiakoski, Mika, Mammarella, Ivan, Gharun, Mana, Marzuoli, Riccardo, Matamala, Roser, Metzger, Stefan, Montagnani, Leonardo, Nicolini, Giacomo, O'Halloran, Thomas, Ourcival, Jean-Marc, Peichl, Matthias, Pendall, Elise, Ruiz Reverter, Borja, Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Schmidt, Marius, Schwalm, Christopher R., Shekhar, Ankit, Silberstein, Richard, Silveira, Maria Lucia, Spano, Donatella, Tagesson, Torbern, Tramontana, Gianluca, Trotta, Carlo, Turco, Fabio, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vivoni, Enrique R., Wang, Yi, Woodgate, William, Yepez, Enrico A., Zhang, Junhui, Zona, Donatella, Jung, Martin | Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Emissivity, Land Surface Temperature, Reflectance, Anisotropy, Albedo, Land Use/Land Cover Classification | |
| 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, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Cross-sectoral impacts of the 20182019 Central European drought and climate resilience in the German part of the Elbe River basin | Conradt, Tobias, Engelhardt, Henry, Menz, Christoph, Vicente-Serrano, Sergio M., Farizo, Begona Alvarez, Pena-Angulo, Dhais, Dominguez-Castro, Fernando, Eklundh, Lars, Jin, Hongxiao, Boincean, Boris, Murphy, Conor, Lopez-Moreno, J. Ignacio | Reflectance, Anisotropy | |
| 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 | |
| <i>NIR<sub>v</sub>P</i> as a remote sensing proxy for measuring gross | Chen, Siyuan, Sui, Lichun, Liu, Liangyun, Liu, Xinjie, Li, Jonathan, Huang, Lingxiao, Li, Xing, Qian, Xiaojin | Reflectance, Anisotropy | |
| Multisource Maximum Predictor Discrepancy for Unsupervised Domain | Ma, Yuchi, Yang, Zhengwei, Zhang, Zhou | Reflectance, Anisotropy | |
| A deep transfer learning framework for mapping high spatiotemporal resolution LAI | Zhou, Junxiong, Yang, Qi, Liu, Licheng, Kang, Yanghui, Jia, Xiaowei, Chen, Min, Ghosh, Rahul, Xu, Shaomin, Jiang, Chongya, Guan, Kaiyu, Kumar, Vipin, Jin, Zhenong | Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Area Index (LAI), Leaf Characteristics, Photosynthetically Active Radiation, Reflectance, Anisotropy, Land Use/Land Cover Classification | |
| A global estimate of monthly vegetation and soil fractions from spatio-temporally adaptive spectral mixture analysis during 20012022 | Sun, Qiangqiang, Zhang, Ping, Jiao, Xin, Lin, Xin, Duan, Wenkai, Ma, Su, Pan, Qidi, Chen, Lu, Zhang, Yongxiang, You, Shucheng, Liu, Shunxi, Hao, Jinmin, Li, Hong, Sun, Danfeng | Land Use/Land Cover Classification, Reflectance, Anisotropy, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Analysis of the 2017 Knysna fires disaster with emphasis on fire spread, home losses and the influence of vegetation and weather conditions: A South African ... | Flores Quiroz, Natalia, Gibson, Lesley, Conradie, Willem Stefaan, Ryan, Patrick, Heydenrych, Ryan, Moran, Ashton, van Straten, Armandt, Walls, Richard | Reflectance, Anisotropy | |
| Explainable Machine Learning Confirms the Global Terrestrial | Zhu, Songyan, Xu, Jian, Zeng, Jingya, Feng, Xianbang, Wang, Yapeng, Bao, Shanning, Shi, Jiancheng | Reflectance, Anisotropy, Aerosol Optical Depth/Thickness, Atmospheric Ozone, Reflectance | |
| Assessing the performance of the Gaussian Process Regression algorithm to fill gaps in the time-series of daily actual evapotranspiration of different crops in temperate and continental zones using ground and remotely sensed data | De Caro, Dario, Ippolito, Matteo, Cannarozzo, Marcella, Provenzano, Giuseppe, Ciraolo, Giuseppe | Reflectance, Anisotropy | |
| Large discrepancies among remote sensing indices for characterizing vegetation growth dynamics in Nepal | Zhou, Decheng, Zhang, Liangxia, Hao, Lu, Sun, Ge, Xiao, Jingfeng, Li, Xing | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, Vegetation Productivity, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Reflectance, Anisotropy | |
| Modeling Global Vegetation Gross Primary Productivity, Transpiration and | Wang, Y., Braghiere, R. K., Longo, M., Norton, A. J., Kohler, P., Doughty, R., Yin, Y., Bloom, A. A., Frankenberg, C. | 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 | |
| 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 | |
| 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 | |
| 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 |