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

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.

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

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

A lightweight and customizable web GIS platform for the state of Goa, India. Designed as a community maintained tool for hyperlocal spatial data exploration and decision making.

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

FireRS SAOP data files

Develope a CNN-GRU model to Predict Land cover

A Python implementation of the Landscape Mosaic model

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

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

Harmonize classification raster files using Latent Dirichlet Allocation

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

Land classification using satellite imageries in QGIS

Batch scripting in Linux for calculating landcover distribution and water extraction in Swedish wetlands