landcover

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

A collection of Imagery Explorer web applications developed by Esri's ArcGIS Living Atlas team

GeoGraph provides a tool for analysing habitat fragmentation and related problems in landscape ecology. GeoGraph builds a geospatially referenced graph from land cover or field survey data and enables graph-based landscape ecology analysis as well as interactive visualizations.

An open web GIS platform with a url API built with Mapbox GL. Prompted from Goa, India.

A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.

Simple layers for species distribution modeling and bioclimatic data

Googgle Earth Engine App: 3D Wetlands App

The Short-term Forest Change Tool (STFC) is a Google Earth Engine script created by the Spring 2020 Costa Rica and Panama Ecological Forecasting team. The main scope of the software is to display changes in vegetation of forested areas and identify regions of possible deforestation.

Get started with landcover classification using machine learning and satellite or aerial imagery.

A QGIS plugin to generate high resolution 2D Manning's Roughness raster dataset.

Ressources pour l'exploitation de l'occupation du sol à 2 dimensions des Hauts-de-France

Toolbox QGIS untuk simbolisasi otomatis raster MapBiomas Indonesia menjadi vektor polygon berlabel dan berwarna sesuai kelas tutupan lahan (LULC).

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

FireRS SAOP data files

Develope a CNN-GRU model to Predict Land cover

Tools to convert SIOSE LandCover vector data to OpenStreetMap data

A Python implementation of the Landscape Mosaic model

The aim of this project was to create a land cover classification of the area near Surat in India for 3 timesteps (2015, 2018, 2022) using a Random Forest classifier to access the process of urbanization

Land classification using satellite imageries in QGIS

GRASS GIS addon for Incora landcover classification. See also https://github.com/mundialis/incora