LARIAC5/LANDCOVER_2017 (ImageServer)

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Service Description: High resolution land cover dataset for Los Angeles, CA. Eight land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, (7) other paved surfaces, and (8) tall shrubs. Esri’s Imagery Team and Professional Services Team were contracted to produce an updated land cover dataset using LARIAC5 (2017) imagery. The Imagery Team utilized new deep learning capabilities in ArcGIS Pro to generate our final product. Deep learning is a type of machine learning that is based on artificial neural networks, and in this case, a deep learning model was trained with images of different land cover classes, processing the images through layers within the neural network, and then finding patterns and features in the data required to classify the imagery.

Name: LARIAC5/LANDCOVER_2017

Description: High resolution land cover dataset for Los Angeles, CA. Eight land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, (7) other paved surfaces, and (8) tall shrubs. Esri’s Imagery Team and Professional Services Team were contracted to produce an updated land cover dataset using LARIAC5 (2017) imagery. The Imagery Team utilized new deep learning capabilities in ArcGIS Pro to generate our final product. Deep learning is a type of machine learning that is based on artificial neural networks, and in this case, a deep learning model was trained with images of different land cover classes, processing the images through layers within the neural network, and then finding patterns and features in the data required to classify the imagery.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 0.09753619507239035

Pixel Size Y: 0.0975361950723901

Band Count: 1

Pixel Type: S32

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "Make a Raster or Raster Dataset into a Function Raster Dataset.", "help": "" }]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: true

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: LA County Public Works, Esri’s Imagery Team and Professional Services, LARIAC

Service Data Type: esriImageServiceDataTypeThematic

Min Values: 1

Max Values: 8

Mean Values: 3.6220073472798

Standard Deviation Values: 2.0596690034446

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: 8200

Max Image Width: 30000

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:

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 Color Map 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