A crash course in analysing spatial patterns of the landscape using R
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Updated
Nov 29, 2023 - R
A crash course in analysing spatial patterns of the landscape using R
Code de l'application Shiny pour visualiser l'évolution de l'artificialisation sur les communes de La Région Sud
Miscellaneous codes for spatial mapping and raster data manipulation
Land use data for Vietnam from GlobCover ESA's project
Exploring NYC's DEP Citywide Parcel-Based Impervious Area GIS Study.
mapping land cover at a national scale, using Sentinel-2 imagery and weak labels from CORINE land cover data
deegree workspace for CLC10 INSPIRE
Water Accounting+ dashboard
Papers for Copernicus Land Monitoring Services evolution - based on H2020 ECoLaSS project
Environmental Data Analysis
CORINE landuse map to WAsP roughness
This repository shows how to get satellite images to build a dataset to train a neural network. It use the MiniFrance land cover dataset, Google-Earth-Engine to download satellite images, and Pytorch to train a neural network.
Analysis of MRLC land cover data for Smith County
This project is to find the land cover on a satellite image using machine learning models. This project uses CNN and SVM as Hybrid to do so.
Analyzing dust concentration by land use type in coccidioidomycosis endemic regions in the CA Central Valley
R code to accompany Cutting Down Trees article
Tutorial do pacote OpenLand.
SyncroSim Add-On Package (to stsim) for integrating stocks and flows into state-and-transition simulation models in ST-Sim.
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