.0版包括美国大陆牧场植物功能群的网格化分数估算

// Vegetation Cover
var RAP_veg = ee.ImageCollection("projects/rap-data-365417/assets/vegetation-cover-v3")

// Net Primary Production (annual)
var RAP_npp = ee.ImageCollection("projects/rap-data-365417/assets/npp-partitioned-v3")

var cover = ee.ImageCollection("projects/rangeland-analysis-platform/vegetation-cover-v3"),
    geometry = 
    /* color: #d63000 */
    /* displayProperties: [
      {
        "type": "rectangle"
      }
    ] */
    ee.Geometry.Polygon(
        [[[-116.86443824768067, 44.05062158819191],
          [-116.86443824768067, 40.608258948072795],
          [-113.26092262268067, 40.608258948072795],
          [-113.26092262268067, 44.05062158819191]]], null, false);
// Author: Eric Jensen and Matt Jones, Working Lands for Wildlife, University of Montana
// Contact: eric.jensen@mso.umt.edu
// Date: January 1, 2022
// Purpose of script: This script exports RAP Vegetation Cover raster data (TIF file format) from Google Earth Engine to your personal Google Drive
// Supporting article: https://support.rangelands.app/article/62-export-vegetation-cover-rasters


// ------------------------------------------------------------
// -------------- Variables for User to change ----------------
// ------------------------------------------------------------

// ---------- Define the bounding box ------------------------------
//  If bounding box was drawn on map below, no additional steps are needed.
//
//  If a shapefile was loaded - rename shapefile to 'geometry'.  To do this 
//  click the default shapefile name (likely 'table') in the Imports panel above,
//  and rename it 'geometry'

// ---------- Define the years that you want to export --------------
// ---------- End year is inclusive in this case  ------------------
var yearStart = 2010
var yearEnd = 2019

// -------------- Define the plant functional types (PFTs) that you want to export --------------
// PFTs are "AFGC" (Annual forb and grass cover), "BG" (bare ground), "LTR" (litter), 
// "PFGC" (perennial forb and grass cover), "SHR" (shrub cover), and "TREE" (tree cover)
var PFTs = ee.List(['AFG', 'BGR', 'LTR', 'PFG', 'SHR', 'TRE'])


// ----------------------------------------------------------------------
// -------------- Do not edit anything below this header ----------------
// ----------------------------------------------------------------------

// ------------- Select the PFTs for export as defined by User  --------------
var cover_toExport = cover.select(PFTs)

// ------------- Export images one-by-one for each year -------------

// Loop over year objects to export images year-by-year
for (var yr = yearStart; yr <= yearEnd; yr++){
  // Export the image, specifying scale and region.
  Export.image.toDrive({
    image: cover_toExport.filterDate(yr.toString(), (yr+1).toString()).first(),
    description: 'RAP_VegCover_' + yr,
    folder: 'RAP_exports',
    scale: 30,
    region: geometry.bounds(),
    maxPixels: 1e10
  });
}

Jones, M.O., N.P. Robinson, D.E. Naugle, J.D. Maestas, M.C. Reeves, R.W.
Lankston, and B.W. Allred. 2020. Annual and 16-day rangeland production
estimates for the western United States. bioRxiv 2020.11.06.343038.
http://dx.doi.org/10.1101/2020.11.06.343038

Robinson, N. P., M. O. Jones, A. Moreno, T. A. Erickson, D. E. Naugle, and B. W.
Allred. 2019. Rangeland productivity partitioned to sub-pixel plant functional
types. Remote Sensing 11:1427. http://dx.doi.org/10.3390/rs11121427

Allred, B. W., B. T. Bestelmeyer, C. S. Boyd, C. Brown, K. W. Davies, L. M.
Ellsworth, T. A. Erickson, S. D. Fuhlendorf, T. V. Griffiths, V. Jansen, M. O.
Jones, J. Karl, J. D. Maestas, J. J. Maynard, S. E. McCord, D. E. Naugle, H. D.
Starns, D. Twidwell, and D. R. Uden. 2020. Improving Landsat predictions of
rangeland fractional cover with multitask learning and uncertainty.
bioRxiv:2020.06.10.142489. http://dx.doi.org/10.1101/2020.06.10.142489