N: 90 S: -90 E: 180 W: -180
Description
The MOD44B Version 6.1 Vegetation Continuous Fields (VCF) yearly product is a global representation of surface vegetation cover as gradations of three ground cover components: percent tree cover, percent non-tree cover, and percent non-vegetated (bare). VCF products provide a continuous, quantitative portrayal of land surface cover at 250 meter (m) pixel resolution, with a sub-pixel depiction of percent cover in reference to the three ground cover components. The sub-pixel mixture of ground cover estimates represents a revolutionary approach to the characterization of vegetative land cover that can be used to enhance inputs to environmental modeling and monitoring applications.
The MOD44B data product layers include percent tree cover, percent non-tree cover, percent non-vegetated, cloud cover, and quality indicators. The start date of the annual period for this product begins with day of year (DOY) 65 (March 6 except for leap year which corresponds to March 5).
Known Issues
- For complete information about known issues please refer to the MODIS/VIIRS 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 (MOD44B) followed by the Julian Date of Acquisition formatted as AYYYYDDD (A2024065), the Tile Identifier which is horizontal tile and vertical tile provided as hXXvYY (h05v11), the Version of the data collection (061), the Julian Date and Time of Production designated as YYYYDDDHHMMSS (2025133155458), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
SCIENCE DATA PRODUCT VALIDATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| An improved global database and model of plant available soil phosphorus | McDowell, Richard W., Noble, Alasdair D. L., Doscher, Crile, Helfenstein, Julian | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| A review of spatial models of forest regeneration to guide forest | Tomas de Souza e Miranda, Frederico, Sloan, Sean, Santin Brancalion, Pedro Henrique, Molin, Paulo Guilherme | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| Assessing Consistency in Fuel Consumed Between Activity-Based Wildfire | Saide, P. E., Wu, Y., Arnold, M., Thapa, L. H., Soja, A., Gargulinski, E., Li, F., Wiedinmyer, C., Emmons, L. K., Tang, W., Westerling, A. L., Xu, Q., Ordway, E. M., Queally, N., Kueppers, L. | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Vegetation Cover | |
| Mapping the global development likelihood of wastewater treatment plants using a novel positive-unlabeled deep neural network | Li, Wenkai, Liu, Hongliang, Li, Mingxuan | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| Mapping the global potential of onshore field-scale solar PV using positive-unlabeled deep learning | Li, Wenkai, Liu, Hongliang, Hu, Xiaomei, Lu, Xingcheng, Tao, Shengli, Ma, Qin, Yang, Haitao, Liu, Yuanchi, Li, Mingxuan, Li, Tianhong, Guo, Qinghua | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) | |
| Drought indices predict changes in live fuel moisture content (LFMC) | Liu, Xiangzhuo, Martin-StPaul, Nicolas, Ruffault, Julien, Lai, Gengke, Raynal, Kevyn, Raquel, RodriguezSuquet, Wang, Huan, Parsons, Russell, Dupuy, Jean-Luc, Pimont, Francois | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Higher tree diversity reduces the likelihood of Amazon tipping points | Van Passel, Johanna, Van Meerbeek, Koenraad, Bernardino, Paulo Negri, De Keersmaecker, Wanda, Lhermitte, Stef, Rius, Bianca Fazio, Somers, Ben | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Albedo, Anisotropy, Reflectance, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Fire Ecology, Biomass Burning, Wildfires, Fire Occurrence, Burned Area | |
| Exploring the Potential of Sub-Daily Microwave Remote Sensing Observations for Estimating Evaporation in Forests | Tronquo, Emma, Lievens, Hans, Steele-Dunne, Susan C., Verhoest, Niko E. C., Miralles, Diego G. | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Vegetation Cover, Land Use/Land Cover Classification, Carbon, Nitrogen, Soil Water Holding Capacity, Soil Bulk Density, Soil Chemistry, Soil Classification, Soil Moisture/Water Content, Soil Horizons/Profile | |
| Global Mercury Emissions from Open Biomass Burning Estimated Using a Mass-Balance Approach | Shen, Yuzhe, Chen, Long, Wang, Danyu, Chen, Qinzheng, Zhou, Qi, Huang, Ye, Du, Wei, Chen, Yuanchen, Yang, Yi | Biomass, Forests, Grasslands, Alpine/Tundra, Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| Normalized difference vegetation index maps of pure pixels over China for estimation of fractional vegetation cover | Zhao, Tian, Song, Wanjuan, Mu, Xihan, Xie, Yun, Wang, Yuanyuan, Ren, Hangqi, Xie, Donghui, Yan, Guangjian | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| Observed sensitivity of evapotranspiration to tropical tree cover change | Liu, Xiaoye, Luo, Shuxin, Zhang, Meng, Xie, Shudi, Qin, Yingzuo, Ye, Jianhuai, Guo, Zhilin, Shen, Huizhong, Zeng, Zhenzhong | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux | |
| Quantification of the cascading tipping probability from the AMOC to the | Jacques-Dumas, Valerian, Dijkstra, Henk A. | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| Mercury Cycling Across a US Semi-Arid Mountain Ecosystem Elevation | Miller, Hannah R., Janssen, Sarah E., Taylor, Scott A., Gerson, Jacqueline R., McIntosh, Tyler L., Hinckley, EveLyn S. | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| Scalable sub-meter mapping of woody vegetation and structures across California's heterogeneous landscape using deep learning | Zhu, Yunzhe, Dixon, Dan J., Jin, Yufang | Urban Lands, Land Use/Land Cover, Urbanization/Urban Sprawl, Infrastructure, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| Regionalized determinants of dryland forest gross primary productivity | Li, Xuan, Dong, Xiaoxue, He, Xiao, Chen, Ning, Zhao, Changming | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Photosynthesis, Primary Production, Vegetation Productivity, Precipitation, Rain, Precipitation Amount, Precipitation Rate, Snow | |
| Spatio-temporal changes of biomass carbon stocks in China's mixed forests: G. Wu et al. | Wu, Gaoyang, Yu, Zhen, Zhou, Feng, Han, Wangya, Zhou, Guoyi, Liu, Shirong | Vegetation Index, Landscape Patterns, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| The Arctic Boreal Burned Area (ABBA) Product | Chen, Dong, Hall, Joanne V., HoffmanHall, Amanda, Shevade, Varada, Argueta, Fernanda, Liang, Xiaoyu, Loboda, Tatiana | Forests, Fire Occurrence, Reforestation, Burned Area, Reflectance, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Total Surface Water | |
| Urban forest patch cover across Asia over the last decade: Call for | Sicard, Pierre, Pascu, Ionut-Silviu, Omidi Khaniabadi, Yusef, Calatayud, Vicent | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| Urban greening mitigates surface warming induced by urbanization in | Liu, Feng, Wang, Lunche, Cao, Qian, Gu, Xihui, Xiao, Wen, Zhang, Xiang, Gao, Jun, Zheng, Liang, Zhang, Zixin | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Global estimates of the storage and transit time of water through vegetation | Felton, Andrew J., Fisher, Joshua B., Hufkens, Koen, Purdy, Adam J., Spawn-Lee, Seth A., Duloisy, Lou F., Goldsmith, Gregory R. | Biomass, Forests, Grasslands, Alpine/Tundra, Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Surface Pressure, Air Temperature, Specific Humidity, Surface Winds, Wind Speed, Geopotential Height, Heat Flux, Skin Temperature, Water Vapor, Precipitation Rate, Snow/Ice, Evaporation, Latent Heat Flux, Latent Heat Flux, Sensible Heat Flux, Diffusion, Surface Winds, U/V Wind Components, Wind Stress, Wind Stress, Surface Roughness, Planetary Boundary Layer Height, Ice Fraction, Reflectance, Photosynthesis, Primary Production, Vegetation Productivity, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| A General Model for the Seasonal to Decadal Dynamics of Leaf Area | Zhou, Boya, Cai, Wenjia, Zhu, Ziqi, Wang, Han, Harrison, Sandy P., Prentice, I. Colin | Land Use/Land Cover Classification, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover | |
| A Neighborhood Approach for Using Remotely Sensed Data to Estimate | Johnson, Bethany A., PinillaBuitrago, Gonzalo E., Anderson, Robert P. | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| A Long-Term 30-m Fractional Vegetation Cover Dataset Downscaled From | Du, Xiaozheng, Zhao, Xiang, Wang, Haoyu, Zhao, Jiacheng | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification | |
| A multi-sensor approach allows confident mapping of forest canopy fuel | Aragoneses, Elena, Garcia, Mariano, Tang, Hao, Chuvieco, Emilio | Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Photosynthesis, Primary Production, Vegetation Productivity, Plant Phenology, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM | |
| Advancing forest fire prediction: A multi-layer stacking ensemble model approach | Shahzad, Fahad, Mehmood, Kaleem, Anees, Shoaib Ahmad, Adnan, Muhammad, Muhammad, Sultan, Haidar, Ijlal, Ali, Jamshid, Hussain, Khadim, Feng, Zhongke, Khan, Waseem Razzaq | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| Cloud | Pixel cloud cover indicators | Bit Field | uint8 | 0 | 0 to 255 | N/A | N/A |
| Percent_NonTree_Vegetation | Percent of pixel that is nontree vegetation | Percent | uint8 | 200 | 0 to 100 | N/A | N/A |
| Percent_NonVegetated | Percent of pixel non vegetated | Percent | uint8 | 200 | 0 to 100 | N/A | N/A |
| Percent_NonVegetated_SD | Standard deviation of percent not vegetated | Percent | uint16 | 0 | 0 to 275 | 0.01 | N/A |
| Percent_Tree_Cover | Percent of pixel that is tree covered | Percent | uint8 | 200 | 0 to 100 | N/A | N/A |
| Percent_Tree_Cover_SD | Standard deviation of percent tree covered | Percent | uint16 | 0 | 0 to 275 | 0.01 | N/A |
| Quality | Quality Control indicators | Bit Field | uint8 | 0 | 0 to 255 | N/A | N/A |