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Land_and_vegetation/DEA_Landcover_Landsat_Level4 (ImageServer)

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Service Description: DEA Land Cover is the observed physical cover on the Earth's surface. It provides a consistent, Australia-wide representation of land cover, supporting a better understanding of how different parts of the environment change and interact. Using Earth observation data collected over time, the product identifies different land cover types at specific points and tracks how they evolve over time. For more information, see (https://knowledge.dea.ga.gov.au/data/product/dea-land-cover-landsat/)

Name: Land_and_vegetation/DEA_Landcover_Landsat_Level4

Description: DEA Land Cover is the observed physical cover on the Earth's surface. It provides a consistent, Australia-wide representation of land cover, supporting a better understanding of how different parts of the environment change and interact. Using Earth observation data collected over time, the product identifies different land cover types at specific points and tracks how they evolve over time. For more information, see (https://knowledge.dea.ga.gov.au/data/product/dea-land-cover-landsat/)

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Time Info: Pixel Size X: 30.0

Pixel Size Y: 30.0

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "DEA Landcover (level4)", "description": "DEA Landcover (level4) \nLifeform (NTV, NAV and CTV; 2 classes)\n\nLifeform represents the dominant vegetation type of a primarily vegetated area, discriminating woody from non-woody (herbaceous) vegetation. The Woody Cover Fraction models woody as vegetation of at least 2m in height and at least 20 % canopy cover. Hence the dominant vegetation in areas designated as woody in this product is considered to be composed of shrubs and trees. However where woody vegetation is not dominant in an area, the cover will be essentially herbaceous or bare. Hence some areas containing sparse trees or shrubs will likely be represented as herbaceous.\n\nVegetation Cover (NTV, NAV and CTV; 5 classes)\n\nVegetation cover is defined using the statistics of annual fractional cover of PV (for a calendar year). This relates to the upper-most foliage as observed from the Landsat satellite sensor, and describes the percentage of an area that is vegetated rather than bare.\n\nWater Seasonality (NAV; 2 classes)\n\nWater seasonality refers to the typical hydrological conditions in NAV within a year and is relevant to both coastal and inland wetlands. The current implementation utilises the Water Observations from Space (WOfS) dataset, identifying hydro-periods for NAV areas where water is (semi-) permanent (over 3 months) or temporary or seasonal (under 3 months).\n\nWater State (Water; 1 class)\n\nWater state establishes whether water is present in liquid form or as snow or ice. The current product only identifies areas where water is present as liquid for at least 20 % of observations (based on WOfS).\n\nWater Persistence (Water; 4 classes)\n\nWater persistence (or hydro-period) describes the maximum duration (in months) that water is seen to be covering the surface in the year.\n\nIntertidal (Water; 1 class)\n\nIntertidal water refers to primarily non-vegetated aquatic areas with systematic, tidal water variations.\n\nBare Gradation (NS; 3 classes)\n\nThe bare gradation describes the percentage of bare surface in areas which contain sporadic or little persistent green vegetation through the year. The percentage reflects that much of the remaining area is brown or dead vegetation and is characteristic of the more arid parts of Australia.\n", "help": "" }, { "name": "DEA Landcover (level4) high accessibility", "description": "DEA Landcover (level4) high accessibility\nLifeform (NTV, NAV and CTV; 2 classes)\n\nLifeform represents the dominant vegetation type of a primarily vegetated area, discriminating woody from non-woody (herbaceous) vegetation. The Woody Cover Fraction models woody as vegetation of at least 2m in height and at least 20 % canopy cover. Hence the dominant vegetation in areas designated as woody in this product is considered to be composed of shrubs and trees. However where woody vegetation is not dominant in an area, the cover will be essentially herbaceous or bare. Hence some areas containing sparse trees or shrubs will likely be represented as herbaceous.\n\nVegetation Cover (NTV, NAV and CTV; 5 classes)\n\nVegetation cover is defined using the statistics of annual fractional cover of PV (for a calendar year). This relates to the upper-most foliage as observed from the Landsat satellite sensor, and describes the percentage of an area that is vegetated rather than bare.\n\nWater Seasonality (NAV; 2 classes)\n\nWater seasonality refers to the typical hydrological conditions in NAV within a year and is relevant to both coastal and inland wetlands. The current implementation utilises the Water Observations from Space (WOfS) dataset, identifying hydro-periods for NAV areas where water is (semi-) permanent (over 3 months) or temporary or seasonal (under 3 months).\n\nWater State (Water; 1 class)\n\nWater state establishes whether water is present in liquid form or as snow or ice. The current product only identifies areas where water is present as liquid for at least 20 % of observations (based on WOfS).\n\nWater Persistence (Water; 4 classes)\n\nWater persistence (or hydro-period) describes the maximum duration (in months) that water is seen to be covering the surface in the year.\n\nIntertidal (Water; 1 class)\n\nIntertidal water refers to primarily non-vegetated aquatic areas with systematic, tidal water variations.\n\nBare Gradation (NS; 3 classes)\n\nThe bare gradation describes the percentage of bare surface in areas which contain sporadic or little persistent green vegetation through the year. The percentage reflects that much of the remaining area is brown or dead vegetation and is characteristic of the more arid parts of Australia.\n", "help": "" }, { "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" } ]}

Mensuration Capabilities: Basic,Base-Top Height,Base-Top Shadow Height,Top-Top Shadow Height,3D

Inspection Capabilities:

Has Histograms: false

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: GA

Service Data Type: esriImageServiceDataTypeThematic

Min Values: N/A

Max Values: N/A

Mean Values: N/A

Standard Deviation Values: N/A

Object ID Field: OBJECTID

Fields: Default Mosaic Method: ByAttribute

Allowed Mosaic Methods: ByAttribute,Center,NorthWest,Nadir,Viewpoint,LockRaster,Seamline,None

SortField: datetime

SortValue: 2060/01/01

Mosaic Operator: First

Default Compression Quality: 85

Default Resampling Method: Nearest

Max Record Count: 2000

Max Image Height: 5000

Max Image Width: 5000

Max Download Image Count: 20

Max Mosaic Image Count: 100

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Statistics   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Query   Identify   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query GPS Info   Find Images   Image to Map   Map to Image   Measure from Image   Image to Map Multiray   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project