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deafrica/Geomedian_Annual (ImageServer)

{"rasterFunctionInfos": [
 {
  "name": "Natural Color with DRA",
  "description": "Natural Color Bands Red, Green, Blue (B3, B2, B1) displayed with dynamic range adjustment applied.\n",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Natural Color",
  "description": "Natural Color Bands Red, Green, Blue(B3, B2, B1) displayed with fixed stretch applied.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Agriculture",
  "description": "Bands SWIR_1, NIR, Blue (B9, B7, B1)  with fixed stretch applied. Vigorous vegetation is bright green, stressed vegetation dull green and bare areas as brown.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Agriculture with DRA",
  "description": "Bands SWIR_1, NIR, Blue (B9, B7, B1) with dynamic range adjustment applied. Vigorous veg. is bright green, stressed veg. dull green and bare areas as brown.\n",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Color Infrared",
  "description": "Bands NIR, Red, Green (B7,B3,B2) with fixed stretch applied. Healthy vegetation is bright red while stressed vegetation is dull red.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Color Infrared with DRA",
  "description": "Bands NIR, Red, Green (B7,B3,B2) with dynamic range adjustment applied. Healthy vegetation is bright red while stressed vegetation is dull red.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Short-wave Infrared",
  "description": "Bands SWIR_2, SWIR_1, Red (B10, B9, B3) with fixed stretch.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Short-wave Infrared with DRA",
  "description": "Bands SWIR_2, SWIR_1, Red (B10, B9, B3) with dynamic range adjustment applied.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Geology",
  "description": "Bands SWIR_2, SWIR_1, Blue (B10,B 9, B1) with fixed stretch applied. Highlights geological features.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Geology with DRA",
  "description": "Bands SWIR_2, SWIR_1, Blue (B10, B9, B1) with dynamic range adjustment applied. Highlights geological features.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Vegetation Index (NDVI)",
  "description": "Normalized difference vegetation index (NDVI) with colormap. Dark green represents vigorous vegetation and brown represents sparse vegetation. It is computed as NIR(B7)-Red(B3)/NIR(B7)+Red(B3) and is suitable for vegetation, land cover and plant health monitoring.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Vegetation Index with Red Edge (NDVI VRE)",
  "description": "NDVI - with VRE (NDRE) with colormap. Green represents vigorous vegetation and purple represents sparse vegetation. It is computed as NIR(B7)-Red_Edge(B4)/NIR(B7)+RED_Edge(B4), also known as NDRE (Normalized Difference Red Edge) and is more appropriate than NDVI index for intensive management applications throughout the growing season.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Moisture Index (NDMI)",
  "description": "Normalized Difference Moisture Index with color map. Wetlands and moist areas appear blue whereas dry areas are represented by deep yellow and brown color. It is computed as NIR(B7)-SWIR_1(B9)/NIR(B7)+SWIR_1(B9).",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Water Index (NDWI)",
  "description": "NDWI - with color map. Wetlands appear blue whereas dry areas are represented by gray and black. It is computed as Green(B2)-NIR(B7)/Green(B2)+NIR(B7) and is most suitable for mapping of water bodies, droughts, boundary evaluation. ",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Built-Up Index (NDBI)",
  "description": "NDBI is computed as SWIR_1(B9)-NIR(B7)/ SWIR_1(B9)+NIR(B7) is suitable for tracking urbanization and land-use planning. It highlights urban areas with higher reflectance in the SWIR region, compared to the NIR region.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Burn Index (NBR)",
  "description": "NBRI is computed as NIR(B7)- SWIR_1(B9)/ NIR(B7) + SWIR_1(B9) uses the NIR and SWIR bands to emphasize burned areas, while mitigating illumination and atmospheric effects.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Median Absolute Deviations",
  "description": "The GeoMAD service utilises three MADs, each stored in a separate band: Euclidean MAD (EMAD), spectral MAD (SMAD), and Bray-Curtis MAD (BCMAD).",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Spectral Median Absolute Deviation",
  "description": "Spectral Median Absolute Deviation Colorized",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Euclidean Median Absolute Deviation",
  "description": "Euclidean Median Absolute Deviation",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "Bray-Curtis Median Absolute Deviation",
  "description": "Bray-Curtis Median Absolute Deviation",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 },
 {
  "name": "None",
  "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
  "help": "",
  "functionType": 0,
  "thumbnail": ""
 }
]}