[null,null,[],[[["\u003cp\u003eThe MOD44B dataset provides yearly global estimates of tree, non-tree, and bare ground cover at 250m resolution.\u003c/p\u003e\n"],["\u003cp\u003eIt leverages Terra MODIS satellite data to create a continuous, quantitative representation of land surface cover.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes quality bands indicating cloud cover and other potential data issues.\u003c/p\u003e\n"],["\u003cp\u003eData is available from 2000 to 2020 and is freely accessible for use, sale, or redistribution.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and analyze this dataset using Google Earth Engine.\u003c/p\u003e\n"]]],["This dataset, available from 2000 to 2023, provides annual global vegetation cover estimates at a 250-meter resolution. It uses Terra MODIS data to quantify percent tree cover, non-tree vegetation, and bare ground. The dataset includes quality and cloud information, with standard deviation layers for tree and non-vegetated cover. Users can access this data via Google Earth Engine and explore it through provided code snippets and can cite it via LP DAAC guidelines. This dataset has been superseded by MODIS/061/MOD44B.\n"],null,["# MOD44B.006 Terra Vegetation Continuous Fields Yearly Global 250m [deprecated]\n\n**Caution:** This dataset has been superseded by [MODIS/061/MOD44B](/earth-engine/datasets/catalog/MODIS_061_MOD44B). \n\nDataset Availability\n: 2000-03-05T00:00:00Z--2023-07-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA LP DAAC at the USGS EROS Center](https://doi.org/10.5067/MODIS/MOD44B.006)\n\nCadence\n: 1 Year\n\nTags\n:\n annual \n geophysical \n global \n landuse-landcover \n mod44b \n modis \n nasa \n terra \n tree-cover \nvegetation \n\n#### Description\n\nThe Terra MODIS Vegetation Continuous Fields (VCF)\nproduct is a sub-pixel-level representation of surface vegetation\ncover estimates globally. Designed to continuously represent\nEarth's terrestrial surface as a proportion of basic vegetation\ntraits, it provides a gradation of three surface cover components:\npercent tree cover, percent non-tree cover, and percent bare.\nVCF products provide a continuous, quantitative portrayal of\nland surface cover with improved spatial detail, and hence, are\nwidely used in environmental modeling and monitoring applications.\n\nGenerated yearly, the VCF product is produced using monthly\ncomposites of Terra MODIS 250 and 500 meters Land Surface Reflectance\ndata, including all seven bands, and Land Surface Temperature.\n\nDocumentation:\n\n- [User's Guide](https://lpdaac.usgs.gov/documents/1322/MOD44B_User_Guide_V6.pdf)\n\n- [Algorithm Theoretical Basis Document (ATBD)](https://lpdaac.usgs.gov/documents/113/MOD44B_ATBD.pdf)\n\n- [General Documentation](https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/6/MOD44B)\n\n### Bands\n\n\n**Pixel Size**\n\n250 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Scale | Pixel Size | Description |\n|------------------------------|-------|-----|-------|-------|------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `Percent_Tree_Cover` | % | 0 | 100 | | meters | Percent of a pixel which is covered by tree canopy |\n| `Percent_NonTree_Vegetation` | % | 0 | 100 | | meters | Percent of a pixel which is covered by non-tree vegetation |\n| `Percent_NonVegetated` | % | 0 | 100 | | meters | Percent of a pixel which is not vegetated |\n| `Quality` | | | | | meters | Describes those inputs that had poor quality (cloudy, high aerosol, cloud shadow, or view zenith \\\u003e45°). Each bit in the field represents 1 out of 8 input surface reflectance files to the model. |\n| Bitmask for Quality - Bit 0: State of input layers DOY 065-097 - 0: Clear - 1: Bad - Bit 1: State of input layers DOY 113-145 - 0: Clear - 1: Bad - Bit 2: State of input layers DOY 161-193 - 0: Clear - 1: Bad - Bit 3: State of input layers DOY 209-241 - 0: Clear - 1: Bad - Bit 4: State of input layers DOY 257-289 - 0: Clear - 1: Bad - Bit 5: State of input layers DOY 305-337 - 0: Clear - 1: Bad - Bit 6: State of input layers DOY 353-017 - 0: Clear - 1: Bad - Bit 7: State of input layers DOY 033-045 - 0: Clear - 1: Bad ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `Percent_Tree_Cover_SD` | % | 0 | 32767 | 0.01 | meters | Standard deviation (SD) of the 30 models that were used to generate the pixel value in the percent tree cover data layer |\n| `Percent_NonVegetated_SD` | % | 0 | 32767 | 0.01 | meters | Standard deviation (SD) of the 30 models that were used to generate the pixel value in the percent non-vegetated data layer |\n| `Cloud` | | | | | meters | Clarifies the 'Quality' layer to give the user an indication that the 'bad' data refers to cloudy input data. Each bit in the field represents 1 out of 8 input surface reflectance files to the model. |\n| Bitmask for Cloud - Bit 0: State of input layers DOY 065-097 - 0: Clear - 1: Cloudy - Bit 1: State of input layers DOY 113-145 - 0: Clear - 1: Cloudy - Bit 2: State of input layers DOY 161-193 - 0: Clear - 1: Cloudy - Bit 3: State of input layers DOY 209-241 - 0: Clear - 1: Cloudy - Bit 4: State of input layers DOY 257-289 - 0: Clear - 1: Cloudy - Bit 5: State of input layers DOY 305-337 - 0: Clear - 1: Cloudy - Bit 6: State of input layers DOY 353-017 - 0: Clear - 1: Cloudy - Bit 7: State of input layers DOY 033-045 - 0: Clear - 1: Cloudy ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n### Terms of Use\n\n**Terms of Use**\n\nMODIS data and products acquired through the LP DAAC\nhave no restrictions on subsequent use, sale, or redistribution.\n\n### Citations\n\nCitations:\n\n- Please visit [LP DAAC 'Citing Our Data' page](https://lpdaac.usgs.gov/citing_our_data)\n for information on citing LP DAAC datasets.\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('MODIS/006/MOD44B');\n\nvar visualization = {\n bands: ['Percent_Tree_Cover'],\n min: 0,\n max: 100,\n palette: ['bbe029', '0a9501', '074b03']\n};\n\nMap.setCenter(6.746, 46.529, 3);\n\nMap.addLayer(dataset, visualization, 'Percent Tree Cover');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/MODIS/MODIS_006_MOD44B) \n[MOD44B.006 Terra Vegetation Continuous Fields Yearly Global 250m \\[deprecated\\]](/earth-engine/datasets/catalog/MODIS_006_MOD44B) \nThe Terra MODIS Vegetation Continuous Fields (VCF) product is a sub-pixel-level representation of surface vegetation cover estimates globally. Designed to continuously represent Earth's terrestrial surface as a proportion of basic vegetation traits, it provides a gradation of three surface cover components: percent tree cover, percent non-tree cover, and percent bare. ... \nMODIS/006/MOD44B, annual,geophysical,global,landuse-landcover,modis,nasa,terra,tree-cover,vegetation \n2000-03-05T00:00:00Z/2023-07-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://doi.org/10.5067/MODIS/MOD44B.006)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD44B)"]]
