Topic: landuse-change Goto Github
Some thing interesting about landuse-change
Some thing interesting about landuse-change
landuse-change,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
User: alexrigby
landuse-change,In this repository I process, agregate and do estimates with MapBiomas land use transition data (30 meter resolution).
User: annapede
landuse-change,Tools for extracting and preparing Digital Earth Australia Satellite Multi-Spectral Images for use in Deep Learning Machine models.
User: ascidian-ai
landuse-change,This repository houses scripts to accompany Crawford et al. 2021 (Ecological Applications), in which we apply a range of biodiversity indices to an agricultural land-use prioritization model, using Zambia as a case study to investigate how variation in how biodiversity is represented affects the results of land-use prioritization analyses.
User: chriscra
landuse-change,The elaborated documentation imported from the previous Confluence wiki (https://www.wiki.ed.ac.uk/display/CRAFTY)
Organization: crafty-abm
landuse-change,A R script that runs Boosted Regression Trees(BRT) on epochs of land use datasets with random points to model land use changes and predict and determine the main drivers of change
User: daudi2010
landuse-change,R scripts mapping global wetland loss (1700-2000)
User: efluet
landuse-change,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.
User: hariomahlawat
landuse-change,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.
User: hariomahlawat
landuse-change,The Mixed-Cell Cellullar Automata (MCCA) provides a new approach to enable more dynamic mixed landuse modeling to move away from the analysis of static patterns. One of the biggest advantages of mixed-cell CA models is the capability of simulating the quantitative and continuous changes of multiple landuse components inside cells.
Organization: hpscil
landuse-change,Code repository for project modelling scenarios of future Land Use Land Cover Change, Ecosystem services and Biodiversity in Peru
Organization: nascent-peru
Home Page: https://plus.ethz.ch/research/forschungsprojekte/NASCENT-PERU.html
landuse-change,A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️
User: pinkychow1010
Home Page: https://sites.google.com/view/intraurban/home
landuse-change,Data and R scripts accompanying the paper "Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts"
User: rojaff
landuse-change,Code and data used during the hackathon Code4Green by the team team_cli07_landscapeoptimizer
User: valentinitnelav
landuse-change,Valentin Lucet // Msc Thesis // 2018-2020
User: vlucet
Home Page: https://vlucet.github.io/landchange-connectivity-monteregie/
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