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).

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

Calculate accessibility from OD matrix on Python

An open dataset for pixel level classification of Landsat 7 and Landsat Imagery. The repo contains the code for classification as well as the error correction methods on top of it.

Environmental data visualisation and exploration

HAME regional land use planning database compatible with national Ryhti data model