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Service Description: BC_HLS_CategoricalChangeRaster_2018vs2024
Name: BC_HLS_CategoricalChangeRaster_2018vs2024
Description:
Single Fused Map Cache: false
Extent:
XMin: -1.5480239804E7
YMin: 6042083.797700003
XMax: -1.2292709804E7
YMax: 8535713.797700003
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -1.5480239804E7
YMin: 6042083.797700003
XMax: -1.2292709804E7
YMax: 8535713.797700003
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -1.5480239804E7
YMin: 6042083.797700003
XMax: -1.2292709804E7
YMax: 8535713.797700003
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Pixel Size X: 30.0
Pixel Size Y: 30.0
Band Count: 1
Pixel Type: S8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "RGB NIR SWIR Bands with Cloud Mask and NDVI CCI NDMI Indices",
"description": "Composite of bands 2-7 fused with vegetation indices.",
"help": ""
},
{
"name": "NDVI NDWI CCI Raw with Cloud And Water Mask",
"description": "Normalized difference vegetation index (NDVI) computed using the NIR and Red bands fused with Normalized difference water index (NDWI) computed using the NIR and SWIR bands, and Chlorophyll Carotenoid Index (CCI) computed using the Green and Red bands. They are suitable for vegetation, land cover, agricultural monitoring of drought and plant health monitoring, and tracking the ratio of chlorophyll to carotenoid pigments in leaves. Also includes a cloud mask.",
"help": ""
},
{
"name": "NDVI NDWI CCI Raw with Cloud Mask",
"description": "Normalized difference vegetation index (NDVI) computed using the NIR and Red bands fused with Normalized difference water index (NDWI) computed using the NIR and SWIR bands, and Chlorophyll Carotenoid Index (CCI) computed using the Green and Red bands. They are suitable for vegetation, land cover, agricultural monitoring of drought and plant health monitoring, and tracking the ratio of chlorophyll to carotenoid pigments in leaves. Also includes a cloud mask.",
"help": ""
},
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
},
{
"name": "RGB NIR SWIR Bands with Cloud Mask",
"description": "Composite of bands 2-7",
"help": ""
},
{
"name": "Natural Color",
"description": "Natural Color bands red, green, blue(4, 3, 2) displayed with fixed stretch applied.",
"help": ""
},
{
"name": "Bathymetric with Cloud Mask",
"description": "Bands red, green, coastal/aerosol(4, 3, 1) with fixed stretched and cloud mask applied. Useful in bathymetric mapping applications.",
"help": ""
},
{
"name": "Bathymetric with DRA and Cloud Mask",
"description": "Bands red, green, coastal/aerosol(4, 3, 1) with dynamic range adjustment and cloud mask applied. Useful in bathymetric mapping applications.",
"help": ""
},
{
"name": "Bathymetric with DRA",
"description": "Bands red, green, coastal/aerosol(4, 3, 1) with dynamic range adjustment applied. Useful in bathymetric mapping applicaitons.",
"help": ""
},
{
"name": "Bathymetric",
"description": "Bands red, green, coastal/aerosol(4, 3, 1) with fixed stretched applied. Useful in bathymetric mapping applicaitons.",
"help": ""
},
{
"name": "Color Infrared with Cloud Mask",
"description": "Bands near-infrared, red, green (5,4,3) with fixed stretch and cloud mask applied. Healthy vegetation is bright red while stressed vegetation is dull red.",
"help": ""
},
{
"name": "Color Infrared with DRA and Cloud Mask",
"description": "Bands near-infrared, red, green (5,4,3) with dynamic range adjustment and cloud mask applied. Healthy vegetation is bright red while stressed vegetation is dull red.",
"help": ""
},
{
"name": "Color Infrared with DRA",
"description": "Bands near-infrared, red, green (5,4,3) with dynamic range adjustment applied. Healthy vegetation is bright red while stressed vegetation is dull red.",
"help": ""
},
{
"name": "Color Infrared",
"description": "Bands near-infrared, red, green (5,4,3) with fixed stretch applied. Healthy vegetation is bright red while stressed vegetation is dull red.",
"help": ""
},
{
"name": "Geology with Cloud Mask",
"description": "Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with fixed stretched and cloud mask applied. Highlights geological features.",
"help": ""
},
{
"name": "Geology with DRA and Cloud Mask",
"description": "Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with dynamic range adjustment and cloud mask applied. Highlights geological features.",
"help": ""
},
{
"name": "Geology with DRA",
"description": "Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with dynamic range adjustment applied. Highlights geological features.",
"help": ""
},
{
"name": "Geology",
"description": "Bands shortwave IR-2, shortwave IR-1, blue (7, 6, 2) with fixed stretched applied. Highlights geological features.",
"help": ""
},
{
"name": "Natural Color with Cloud Mask",
"description": "Natural Color bands red, green, blue(4, 3, 2) displayed with fixed stretch and cloud mask applied.",
"help": ""
},
{
"name": "Natural Color with DRA and Cloud Mask",
"description": "Natural Color bands red, green, blue (4, 3, 2) displayed with dynamic range adjustment and cloud mask applied.",
"help": ""
},
{
"name": "Natural Color with DRA",
"description": "Natural Color bands red, green, blue (4, 3, 2) displayed with dynamic range adjustment applied.",
"help": ""
},
{
"name": "NDVI Colormap with Cloud Mask",
"description": "Normalized difference vegetation index (NDVI) with colormap and cloud mask. Dark green represents vigorous vegetation and brown represents sparse vegetation. It is computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring.",
"help": ""
},
{
"name": "NDVI Colormap",
"description": "Normalized difference vegetation index (NDVI) with colormap. Dark green represents vigorous vegetation and brown represents sparse vegetation. It is computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring.",
"help": ""
},
{
"name": "NDVI Raw with Cloud Mask",
"description": "Normalized difference vegetation index (NDVI) computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring. Also includes a cloud mask.",
"help": ""
},
{
"name": "NDVI Raw",
"description": "Normalized difference vegetation index (NDVI) computed as (b5 - b4) / (b5 + b4) and is suitable for vegetation, land cover and plant health monitoring.",
"help": ""
},
{
"name": "NDWI Raw with Cloud Mask",
"description": "The NDWI index is computed as Green(Band03)-NIR(Band05)/ Green(Band03)+NIR(Band05) and is most suitable for mapping of water bodies, droughts, boundary evaluation. Water bodies have strong absorbability and low radiation within the visible to infrared spectral ranges and this index is based on this phenomenon. Also includes a cloud mask.",
"help": ""
},
{
"name": "NDWI Raw",
"description": "The NDWI index is computed as Green(Band03)-NIR(Band05)/ Green(Band03)+NIR(Band05) and is most suitable for mapping of water bodies, droughts, boundary evaluation. Water bodies have strong absorbability and low radiation within the visible to infrared spectral ranges and this index is based on this phenomenon.",
"help": ""
},
{
"name": "Normalized Burn Ratio (NBR) with Cloud Mask",
"description": "The NBR index is computed as NIR(Band05)-SWIR(Band7)/NIR(Band05)+SWIR(Band7) and appropriate for highlighting burned areas and estimating fire severity. It highlights burnt areas in fire zones greater than 500 acres. You will need to generate a differenced NBR image by subtracting a post-fire image from a pre-fire image. The resulting darker pixels represent burned areas. This index also contains a cloud mask.",
"help": ""
},
{
"name": "Normalized Burn Ratio",
"description": "The NBR index is computed as NIR(Band05)-SWIR(Band7)/NIR(Band05)+SWIR(Band7) and appropriate for highlighting burned areas and estimating fire severity. It highlights burnt areas in fire zones greater than 500 acres. You will need to generate a differenced NBR image by subtracting a post-fire image from a pre-fire image. The resulting darker pixels represent burned areas.",
"help": ""
},
{
"name": "Normalized Difference Built-Up Index (NDBI) with Cloud Mask",
"description": "The NDBI index is computed as SWIR(Band6)-NIR(Band05)/ SWIR(Band6)+NIR(Band05) and is suitable for watershed runoff predictions, tracking urbananisation and land-use planning. It highlights urban areas with higher reflectance in the SWIR region, compared to the NIR region. This index also contains a cloud mask.",
"help": ""
},
{
"name": "Normalized Difference Built-Up Index (NDBI)",
"description": "The NDBI index is computed as SWIR(Band6)-NIR(Band05)/ SWIR(Band6)+NIR(Band05) and is suitable for watershed runoff predictions, tracking urbananisation and land-use planning. It highlights urban areas with higher reflectance in the SWIR region, compared to the NIR region.",
"help": ""
},
{
"name": "Short-wave Infrared with Cloud Mask",
"description": "Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with fixed stretch and cloud mask applied.",
"help": ""
},
{
"name": "Short-wave Infrared with DRA and Cloud Mask",
"description": "Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with dynamic range adjustment and cloud mask applied.",
"help": ""
},
{
"name": "Short-wave Infrared with DRA",
"description": "Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with dynamic range adjustment applied.",
"help": ""
},
{
"name": "Short-wave Infrared",
"description": "Bands shortwave infrared-2, shortwave infrared-1, red (7, 6, 4) with fixed stretch.",
"help": ""
}
]}
Mensuration Capabilities: Basic
Inspection Capabilities:
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text:
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 1
Max Values: 127
Mean Values: 117.51246102357649
Standard Deviation Values: 33.148690192423835
Object ID Field:
Fields:
None
Default Mosaic Method: Center
Allowed Mosaic Methods:
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Bilinear
Max Record Count: null
Max Image Height: 4100
Max Image Width: 15000
Max Download Image Count: null
Max Mosaic Image Count: null
Allow Raster Function: true
Allow Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
Supports Statistics: false
Supports Advanced Queries: false
Use StandardizedQueries: true
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: true
Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
Raster Attribute Table
Histograms
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project