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)
DATA PRODUCT SPECIFICATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| 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 | |
| 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 | |
| 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 | |
| <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 | |
| 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 | |
| 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 | |
| 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 | |
| Observations of satellite land surface phenology indicate that maximum leaf greenness is more associated with global vegetation productivity than growing season ... | Gao, Xiaojie, McGregor, Ian R., Gray, Josh M., Friedl, Mark A., Moon, Minkyu | Reflectance, Anisotropy, Plant Phenology, Enhanced Vegetation Index (EVI) | |
| Predictive performance of machine learning model with varying sampling | Bouasria, Abdelkrim, Bouslihim, Yassine, Gupta, Surya, Taghizadeh-Mehrjardi, Ruhollah, Hengl, Tomislav | Reflectance, Anisotropy, Photosynthesis, Primary Production, Vegetation Productivity | |
| Projecting live fuel moisture content via deep learning | Miller, Lynn, Zhu, Liujun, Yebra, Marta, Rudiger, Christoph, Webb, Geoffrey I. | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), 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 | |
| Multisource Maximum Predictor Discrepancy for Unsupervised Domain | Ma, Yuchi, Yang, Zhengwei, Zhang, Zhou | Reflectance, Anisotropy | |
| Photosynthetically Active Radiation and Foliage Clumping Improve Satellite-Based NIRv Estimates of Gross Primary Production | Filella, Iolanda, Descals, Adria, Balzarolo, Manuela, Yin, Gaofei, Verger, Aleixandre, Fang, Hongliang, Penuelas, Josep | Reflectance, Anisotropy | |
| A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet) | Gensheimer, Johannes, Turner, Alexander J., Kohler, Philipp, Frankenberg, Christian, Chen, Jia | Atmospheric Carbon Dioxide, Solar Induced Fluorescence, Reflectance, Anisotropy | |
| Spatiotemporal fusion modelling using STARFMExamples of Landsat 8 and Sentinel-2 NDVI in Bavaria | Dhillon, Maninder Singh, Dahms, Thorsten, Kubert-Flock, Carina, Steffan-Dewenter, Ingolf, Zhang, Jie, Ullmann, Tobias | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Reflectance, Anisotropy | |
| Review of puma density estimates reveals sources of bias and variation, and the need for standardization | Murphy, Sean M., Beausoleil, Richard A., Stewart, Haley, Cox, John J. | Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Reflectance, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, Vegetation Productivity | |
| Spatiotemporal remote sensing image fusion using multiscale two-stream convolutional neural networks | Chen, Yuehong, Shi, Kaixin, Ge, Yong, Zhou, Ya'nan | Reflectance, Anisotropy | |
| Spatial difference between temperature and snowfall driven spring phenology of alpine grassland land surface based on process-based modeling on the Qinghai-Tibet Plateau | An, Shuai, Zhang, Xiaoyang, Ren, Shilong | Reflectance, Anisotropy, Albedo | |
| Spatial and Temporal Evolution of Sowing and the Onset of the Rainy | Fonseca, Humberto Paiva, Pires, Gabrielle Ferreira, Brumatti, Livia Maria | Reflectance, Anisotropy | |
| Scorched earth tactics of the ``Islamic State'' after its loss of | Jaafar, Hadi, Sujud, Lara, Woertz, Eckart | Reflectance, Anisotropy | |
| Satellite-based phenology products and in-situ pollen dynamicsA comparative assessment | Li, Linze, Hao, Dalai, Li, Xuecao, Chen, Min, Zhou, Yuyu, Jurgens, Dawn, Asrar, Ghassam, Sapkota, Amir | Reflectance, Anisotropy | |
| Satellite observed vegetation dynamics and drivers in the Namib sand sea over the recent 20 years | Qiao, Na, Wang, Lixin | Reflectance, Anisotropy, Albedo, Total Surface Precipitation Rate | |
| Satellite solar-induced chlorophyll fluorescence and near-infrared reflectance capture complementary aspects of dryland vegetation productivity dynamics | Wang, Xian, Biederman, Joel A., Knowles, John F., Scott, Russell L., Turner, Alexander J., Dannenberg, Matthew P., Kohler, Philipp, Frankenberg, Christian, Litvak, Marcy E., Flerchinger, Gerald N., Law, Beverly E., Kwon, Hyojung, Reed, Sasha C., Parton, William J., Barron-Gafford, Greg A., Smith, William K. | Reflectance, Anisotropy | |
| What explains the year-to-year variation in growing season timing of boreal black spruce forests? | El-Amine, Mariam, Roy, Alexandre, Koebsch, Franziska, Baltzer, Jennifer L., Barr, Alan, Black, Andrew, Ikawa, Hiroki, Iwata, Hiroki, Kobayashi, Hideki, Ueyama, Masahito, Sonnentag, Oliver | Reflectance, Anisotropy |