Land surface classification using remote sensing data with unsupervised machine learning (k-means).
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Updated
Oct 29, 2019 - Python
Land surface classification using remote sensing data with unsupervised machine learning (k-means).
TMG's Integrated Land Use, Transportation, Environment
Calculate accessibility from OD matrix on Python
Agent-based model representing the competition for land between stakeholders of farming and herding
The NMC model, a sequel of the Musical Chairs model, explores how land use competition could be constrained by cooperation and social institutions.
Code and data used during the hackathon Code4Green by the team team_cli07_landscapeoptimizer
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.
The elaborated documentation imported from the previous Confluence wiki (https://www.wiki.ed.ac.uk/display/CRAFTY)
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.
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
Spatial analysis of agricultural land use trends in Illinois with a focus on the Chicagoland area and collar counties in northeastern Illinois.
Environmental data visualisation and exploration
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.
A post-processing, interactive visualization, and analysis tool to synthesize multi-scenario, multi-watershed outputs from process-based geospatial models WEPP and SWAT
Accessibility Toolbox for R and ArcGIS
AI4EO challenge
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
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