[null,null,[],[[["\u003cp\u003eThe Landsat Gross Primary Production (GPP) CONUS dataset estimates Gross Primary Production (GPP) for the conterminous United States using Landsat Surface Reflectance.\u003c/p\u003e\n"],["\u003cp\u003eGPP represents the amount of carbon captured by plants and is a key factor in calculating Net Primary Production (NPP).\u003c/p\u003e\n"],["\u003cp\u003eThe dataset utilizes the MOD17 algorithm, incorporating Landsat Surface Reflectance, gridMET data, and the National Land Cover Database for GPP calculations.\u003c/p\u003e\n"],["\u003cp\u003eIt provides 16-day GPP estimates at a 30-meter resolution, spanning from 1986 to 2021.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is in the public domain and freely available for use, requiring proper citation in any derived works.\u003c/p\u003e\n"]]],[],null,["# Landsat Gross Primary Production CONUS\n\nDataset Availability\n: 1986-01-01T00:00:00Z--2021-12-19T00:00:00Z\n\nDataset Provider\n:\n\n\n [University of Montana Numerical Terradynamic Simulation Group (NTSG)](https://www.ntsg.umt.edu/project/landsat/landsat-productivity.php)\n\nCadence\n: 16 Days\n\nTags\n:\n[16-day](/earth-engine/datasets/tags/16-day) [conus](/earth-engine/datasets/tags/conus) [gpp](/earth-engine/datasets/tags/gpp) [gridmet-derived](/earth-engine/datasets/tags/gridmet-derived) [landsat](/earth-engine/datasets/tags/landsat) [mod17](/earth-engine/datasets/tags/mod17) [nlcd-derived](/earth-engine/datasets/tags/nlcd-derived) [photosynthesis](/earth-engine/datasets/tags/photosynthesis) [plant-productivity](/earth-engine/datasets/tags/plant-productivity) [production](/earth-engine/datasets/tags/production) [productivity](/earth-engine/datasets/tags/productivity) \n\n#### Description\n\nThe Landsat Gross Primary Production (GPP) CONUS dataset estimates GPP using\nLandsat Surface Reflectance for CONUS. GPP is the amount of\ncarbon captured by plants in an ecosystem and is an essential component in\nthe calculations of Net Primary Production (NPP). GPP is calculated using the\nMOD17 algorithm (see [MOD17 User\nGuide](https://www.ntsg.umt.edu/files/modis/MOD17UsersGuide2015_v3.pdf)) with\nLandsat Surface Reflectance, gridMET, and the National Land Cover Database.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Scale | Pixel Size | Description |\n|-------|-------------------|-----|-------|--------|------------|-----------------------------------------------------------------------------|\n| `GPP` | kg\\*C/m\\^2/16-day | 0 | 65535 | 0.0001 | meters | 16-day gross primary production |\n| `QC` | | | | | meters | Indicates the quality of the Landsat NDVI pixel used in the GPP Calculation |\n\n**QC Class Table**\n\n| Value | Color | Description |\n|-------|---------|----------------------------|\n| 10 | #e6194b | Clear not smoothed |\n| 11 | #3cb44b | Clear smoothed |\n| 20 | #ffe119 | Snow or water not smoothed |\n| 21 | #4363d8 | Snow or water smoothed |\n| 30 | #f58231 | Climatology not smoothed |\n| 31 | #911eb4 | Climatology smoothed |\n| 40 | #46f0f0 | Gap filled not smoothed |\n| 41 | #f032e6 | Gap filled smoothed |\n\n### Terms of Use\n\n**Terms of Use**\n\nThis work is in the public domain and is free of known copyright\nrestrictions. Users should properly cite the source used in the creation of\nany reports and publications resulting from the use of this dataset and note\nthe date when the data was acquired.\n\n### Citations\n\nCitations:\n\n- Robinson, N.P., B.W. Allred, W.K. Smith, M.O. Jones, A. Moreno, T.A.\n Erickson, D.E. Naugle, and S.W. Running. 2018. Terrestrial primary\n production for the conterminous United States derived from Landsat 30 m and\n MODIS 250 m. Remote Sensing in Ecology and Conservation.\n [doi:10.1002/rse2.74](https://doi.org/10.1002/rse2.74)\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('UMT/NTSG/v2/LANDSAT/GPP')\n .filter(ee.Filter.date('2017-05-01', '2017-05-31'));\nvar gpp = dataset.select('GPP');\nvar gppVis = {\n min: 0.0,\n max: 1000.0,\n palette: ['bbe029', '0a9501', '074b03'],\n};\nMap.setCenter(-98.26, 39.32, 5);\nMap.addLayer(gpp, gppVis, 'GPP');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/UMT/UMT_NTSG_v2_LANDSAT_GPP) \n[Landsat Gross Primary Production CONUS](/earth-engine/datasets/catalog/UMT_NTSG_v2_LANDSAT_GPP) \nThe Landsat Gross Primary Production (GPP) CONUS dataset estimates GPP using Landsat Surface Reflectance for CONUS. GPP is the amount of carbon captured by plants in an ecosystem and is an essential component in the calculations of Net Primary Production (NPP). GPP is calculated using the MOD17 algorithm (see MOD17 ... \nUMT/NTSG/v2/LANDSAT/GPP, 16-day,conus,gpp,gridmet-derived,landsat,mod17,nlcd-derived,photosynthesis,plant-productivity,production,productivity \n1986-01-01T00:00:00Z/2021-12-19T00:00:00Z \n24.42 -124.84 49.72 -64.82 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.ntsg.umt.edu/project/landsat/landsat-productivity.php)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/UMT_NTSG_v2_LANDSAT_GPP)"]]
