🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
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Updated
Jun 20, 2023 - Jupyter Notebook
🛣 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
Simple layers for species distribution modeling and bioclimatic data
Harmonize classification raster files using Latent Dirichlet Allocation
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.
Googgle Earth Engine App: 3D Wetlands App
Ressources pour l'exploitation de l'occupation du sol à 2 dimensions des Hauts-de-France
Analysis for InsectMobile diversity and biomass across Denmark and Germany in the summer of 2018 and 2019
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
Study that examines the landscape-level effects of land cover and land use on flying insect biomass
Landcover classification models validator using the SIGPAC data
Repository for the analysis of the MS: "Detecting flying insects using car nets and DNA metabarcoding"
FireRS SAOP data files
GRASS GIS addon for Incora landcover classification. See also https://github.com/mundialis/incora
A high-level Python framework to evaluate the skill of geospatial datasets by comparing candidates to benchmark maps producing agreement maps and metrics.
Land classification using satellite imageries in QGIS
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
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