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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
Legend
All Layers and Tables
Dynamic Legend
Dynamic All Layers
Layers:
Description:
Copyright Text: RCMRD, AUC, EU, Sudan Governement Institutions
Spatial Reference:
4326
(4326)
Single Fused Map Cache: false
Initial Extent:
XMin: 17.68298850394965
YMin: 13.022910878593741
XMax: 42.74494172603822
YMax: 22.911413641950972
Spatial Reference: 4326
(4326)
Full Extent:
XMin: 21.841666667
YMin: 8.649760191269452
XMax: 38.586263562987874
YMax: 22.232287287156613
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: Sudan 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 Sudan Land Degradation Monitoring and Assessment
Category:
Keywords: gmes,gmes_ldma,gmes_sudan_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
Supported Operations:
Export Map
Identify
QueryLegends
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