Computational tools for urban analysis

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Land surface classification using remote sensing data with unsupervised machine learning (k-means).

Accessibility Toolbox for R and ArcGIS

Calculate accessibility from OD matrix on Python

Implement of neural networks on 'UC Merced Land Use' dataset with PyTorch

Developing a modelling system to quantify features of land use in urban environments, UK based

OpenStreetMap: Find residential areas with too few buildings in them

We provide a pixel level training dataset for landuse classification (four categories - Green, Water, Barren land and Built up Areas) using google earth engine for India. All associated scripts are also provided.

An interface for managing SWATPlus input and output files to aid in implementing, and visualizing the impact of land use changes on catchment hydrology in the SWATPlus model

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.

A post-processing, interactive visualization, and analysis tool to synthesize multi-scenario, multi-watershed outputs from process-based geospatial models WEPP and SWAT

Land Use /Land Cover Classification using PyTorch with the RGB EuroSat Dataset

Google Earth Engine Application in the field of Climate change and Earth system monitoring by analysing climatic, physical and biophysical data.

TMG's Integrated Land Use, Transportation, Environment

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

Synthesize multi-scenario, multi-watershed outputs from process-based geospatial model WEPP (WEPPcloud) using this post-processing, interactive visualization, and analysis tool. A Shiny Web app implementation to assist in targeted management using WEPPcloud simulated outputs.

🗺️ 全國土地使用分區GeoJSON下載平台

Workflow to compute habitat connectivity based on land-use/land-cover data

Tools for extracting and preparing Digital Earth Australia Satellite Multi-Spectral Images for use in Deep Learning Machine models.