{ "extent": { "ymin": 2815889.6077999994, "xmin": -13890046.807399999, "ymax": 6342239.6077999994, "xmax": -7451446.8073999994, "spatialReference": { "latestWkid": 3857, "wkid": 102100 } }, "blockWidth": 2048, "mosaicOperator": "First", "serviceSourceType": "esriImageServiceSourceTypeMosaicDataset", "hasMultidimensions": false, "maxImageWidth": 100000, "maxRecordCount": 1000, "meanValues": [ 17.840717011953402, 22.473950342878336, 15.113287073857864 ], "hasColormap": false, "compressionType": "None", "defaultCompressionQuality": 75, "maxValues": [ 117.05040740966797, 322.98941040039062, 164.26582336425781 ], "hasHistograms": true, "datasetFormat": "AMD", "maxImageHeight": 100000, "sortField": "", "bandNames": [ "All_live_tree_stocking_pct", "Stand_age", "Lorey_stand_height" ], "spatialReference": { "latestWkid": 3857, "wkid": 102100 }, "fullExtent": { "ymin": 2815889.6077999994, "xmin": -13890046.807399999, "ymax": 6342239.6077999994, "xmax": -7451446.8073999994, "spatialReference": { "latestWkid": 3857, "wkid": 102100 } }, "bandCount": 3, "rasterFunctionInfos": [ { "help": "", "name": "Stocking Percentage", "description": "Stocking Percentage - per pixel. 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This image service was developed using data from over 213,000 national forest inventory plots measured during the period 2014-2018 from the USFS Forest Inventory and Analysis (FIA) program, in conjunction with other auxiliary information. Roughly 4,900 Landsat 8 OLI scenes, collected during the same time period, were processed to extract information about vegetation phenology. This information, along with climatic and topographic raster data, were used in an ecological ordination model of tree species. The model produced a feature space of ecological gradients that was then used to impute FIA plots to pixels. The plots imputed to each pixel were then used to assign values for stand age, stocking (percent), and Lorey's height. Raster function templates are imbedded within this service for visualizing each layer.<\/span><\/p>

Band descriptions are as follows:<\/span><\/p>

 <\/p>

Band_1 All - Live - Tree Stocking Percent (COND.ALSTK) (Percent)<\/span><\/p>

Band_2 Stand Age (COND.STDAGE) (Years)<\/span><\/p>

Band_3 Lorey's Height (TREE.HT weighted by TREE.DIA) (Feet)<\/span><\/p>

 <\/p>

Stocking class                     Class boundaries<\/span><\/p>

  • Nonstocked                  0 - <10 percent<\/span><\/li>
  • Poorly stocked             10 - <35 percent<\/span><\/li>
  • Moderately stocked    35 - <60 percent<\/span><\/li>
  • Fully stocked                 60 - 100 percent<\/span><\/li>
  • Overstocked                 > 100 percent<\/span><\/li><\/ul>

     <\/p>

    Wilson, Barry T.; Knight, Joseph F.; McRoberts, Ronald E. 2018. Harmonic regression of Landsat time series for modeling attributes from national forest inventory data. ISPRS Journal of Photogrammetry and Remote Sensing. 137: 29-46.For more information about the methods used to produce this dataset please see the following references:<\/span><\/p>

     <\/p>

    \u2022 Wilson, Barry Tyler; Woodall, Christopher W.; Griffith, Douglas M. 2013. Imputing forest carbon stock estimates from inventory plots to a nationally continuous coverage. Carbon Balance and Management. 8:1. doi:10.1186/1750-0680-8-1<\/span><\/p>

    \u2022 Wilson, B. Tyler; Lister, Andrew J.; Riemann, Rachel I. 2012. A nearest-neighbor imputation approach to mapping tree species over large areas using forest inventory plots and moderate resolution raster data. Forest Ecology and Management. 271: 182-198.<\/span><\/p>

    \u2022 Ohmann, Janet L.; Gregory, Matthew J. 2002.Predictive mapping of forest composition and structure with direct gradient analysis and nearest neighbor imputation in coastal Oregon, U.S.A. Canadian Journal of Forest Research. 32: 725-741<\/span><\/p><\/div><\/div><\/div>", "allowCopy": true, "copyrightText": "USDA Forest Service Forest Inventory & Analysis Program. Science by Barry T. Wilson (USFS)", "mensurationCapabilities": "Basic", "ownershipBasedAccessControlForRasters": null }