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snippet: This dataset represents the municipal‑level distribution of landslide hazard across the study area. The dataset is based on a terrain‑driven susceptibility model incorporating slope (derived from a Digital Elevation Model), rainfall intensity patterns, and soil/geological characteristics. These factors were combined into a composite landslide susceptibility raster surface, which was summarised for each municipality using zonal statistics. The resulting feature class enables planners, disaster management practitioners, and risk analysts to identify municipalities with elevated landslide susceptibility and integrate this information into multi‑hazard assessments, spatial development frameworks, and geotechnical risk reduction strategies. The purpose of this dataset is to provide a spatially standardised representation of landslide susceptibility at the municipal scale. It supports hazard profiling, geohazard management, slope stability planning, and the prioritisation of interventions in areas where landslide risk is elevated due to steep slopes, high rainfall, or sensitive soil conditions.
summary: This dataset represents the municipal‑level distribution of landslide hazard across the study area. The dataset is based on a terrain‑driven susceptibility model incorporating slope (derived from a Digital Elevation Model), rainfall intensity patterns, and soil/geological characteristics. These factors were combined into a composite landslide susceptibility raster surface, which was summarised for each municipality using zonal statistics. The resulting feature class enables planners, disaster management practitioners, and risk analysts to identify municipalities with elevated landslide susceptibility and integrate this information into multi‑hazard assessments, spatial development frameworks, and geotechnical risk reduction strategies. The purpose of this dataset is to provide a spatially standardised representation of landslide susceptibility at the municipal scale. It supports hazard profiling, geohazard management, slope stability planning, and the prioritisation of interventions in areas where landslide risk is elevated due to steep slopes, high rainfall, or sensitive soil conditions.
extent: [[28,-31],[32,-26]]
accessInformation:
thumbnail: thumbnail/thumbnail.png
maxScale: 1
typeKeywords: ["ArcGIS","ArcGIS Server","Data","Map Service","Service"]
description:
licenseInfo:
catalogPath:
title: Landslide
type: Map Service
url:
tags: ["SRK","Risk","pdmc","Risk Assessment"]
culture: en-ZA
portalUrl:
name: Landslide
guid: 88F6807E-35F0-45C1-8CC0-30D6D285685D
minScale: 0
spatialReference: GCS_Hartebeesthoek_1994