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Service Description: This Land degradation monitoring and assessment products have been developed using the (Revised Universal Soil Loss Equation) RUSLE. Among the key parameters used include: soil erosivity, slope, rainfall intensity, population and land cover

Map Name: Layers

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Layers:

• Rwanda_ldma_2022.tif (0)

Description:

Copyright Text: RCMRD, AUC, EU, Rwanda Governement Institutions

Spatial Reference: 4326  (4326)


Single Fused Map Cache: false

Initial Extent:

XMin: 28.233216759448
YMin: -2.2596731411370428
XMax: 31.525303106712002
YMax: -0.960739867514972
Spatial Reference: 4326  (4326)

Full Extent:

XMin: 28.86667
YMin: -2.834121171770974
XMax: 30.89184986616
YMax: -1.0499485010509724
Spatial Reference: 4326  (4326)

Units: esriDecimalDegrees

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Title: Rwanda LDMA 2022
Author: RCMRD
Comments: This Land degradation monitoring and assessment products have been developed using the (Revised Universal Soil Loss Equation) RUSLE. Among the key parameters used include: soil erosivity, slope, rainfall intensity, population and land cover
Subject: Map Represents Rwanda Land Degradation Monitoring and Assessment
Category:
Keywords: gmes,gmes_ldma,gmes_rwanda_ldma,rcmrd,africa,2022
AntialiasingMode: None
TextAntialiasingMode: Force

Supports Dynamic Layers: true

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON

Supports Query Data Elements:

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info   Dynamic Layer

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