🛣 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 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

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

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.

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

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

FireRS SAOP data files

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

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

Land classification using satellite imageries in QGIS

Study that examines the landscape-level effects of land cover and land use on flying insect biomass

Analysis for InsectMobile diversity and biomass across Denmark and Germany in the summer of 2018 and 2019

Repository for the analysis of the MS: "Detecting flying insects using car nets and DNA metabarcoding"

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

Landcover classification models validator using the SIGPAC data

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