Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Osman-Geomatics93/TerrainViz-GEE

Domaine:

geospatial

Type de record:

software
Créateur:
Osm
Hôte:
Project Overview A comprehensive Google Earth Engine implementation for advanced terrain analysis and visualization of Sudan's topography. This project provides a robust set of tools for generating high-quality Digital Elevation Models (DEM), hillshade analysis, and contour mapping across Sudan's diverse landscape. # TerrainViz-GEE Project Overview A comprehensive Google Earth Engine implementation for advanced terrain analysis and visualization of Sudan's topography. This project provides a robust set of tools for generating high-quality Digital Elevation Models (DEM), hillshade analysis, and contour mapping across Sudan's diverse landscape. # Key Features + Terrain Analysis Capabilities + Digital Elevation Model (DEM) generation using SRTM data + Dynamic hillshade computation with adjustable light source parameters + Automated contour line generation at customizable intervals + Region-specific clipping functionality for focused analysis # Visualization Components + Multi-color elevation visualization with customizable color palettes + Interactive hillshade overlay options + Professional-grade contour line rendering + Dynamic legend generation for elevation ranges + Comprehensive UI elements for data interpretation # Data Export Functionality + High-resolution DEM exports + Configurable hillshade outputs + Custom scale and resolution options + Efficient handling of large geographic areas # Technical Specifications + Based on USGS/SRTMGL1_003 dataset + 30-meter spatial resolution + Customizable visualization parameters + Optimized for performance with large datasets # Applications + Topographic mapping and analysis + Geomorphological studies + Watershed analysis + Urban planning and development + Infrastructure planning + Environmental impact assessment + Natural hazard assessment + Archaeological studies + Land use planning # Implementation Details + Implements advanced terrain algorithms + Features automated workflow processes + Includes comprehensive error handling + Provides optimized performance for Sudan's geographical extent + Supports custom Area of Interest (AOI) definitions # Technical Benefits + Streamlined workflow for terrain analysis + Consistent and reproducible results + High-quality visualization outputs + Efficient processing of large areas + Flexible …

Visit

github.com

Licenses

MIT

Similaires

Osman-Geomatics93/gezira-lensOsman-Geomatics93/duckdb-sudan-Osman-Geomatics93/MODIS-VHI-AnalysisOsman-Geomatics93/crop-classification-deep-learningOsman-Geomatics93/Sudan-Wind-Analysis-ToolOsman-Geomatics93/WheatML-Precision-Agriculture-Analysis-Suite

Osman-Geomatics93/gezira-lens

Interactive geospatial dashboard for analyzing reported problems across Sudan's Gezira Irrigation Sc

Osman-Geomatics93/duckdb-sudan-

# DuckDB Sudan Extension **Unified SQL access to Sudan's humanitarian, development, and geos

Osman-Geomatics93/MODIS-VHI-Analysis

A Google Earth Engine application for monitoring vegetation health in Sudan using MODIS NDVI and LST

Osman-Geomatics93/crop-classification-deep-learning

Multi-class crop classification in Elgabel Region, Sudan using Sentinel-2 imagery with scikit-learn

Osman-Geomatics93/Sudan-Wind-Analysis-Tool

This Google Earth Engine (GEE) application provides comprehensive wind speed analysis for Sudan usin

Osman-Geomatics93/WheatML-Precision-Agriculture-Analysis-Suite

Advanced ML application for predicting wheat yield & water productivity using remote sensing data. F