landuse
There are 1 repository under landuse topic.
benchmark-urbanism / cityseer-api
Computational tools for urban analysis
Language:Python 87JohnNay / forecastVeg
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
Language:Python 45lhalloran / LandSurfaceClustering
Land surface classification using remote sensing data with unsupervised machine learning (k-means).
Language:Python 30higgicd / Accessibility_Toolbox
Accessibility Toolbox for R and ArcGIS
Language:HTML 24davidsvale / calculate-accessibility
Calculate accessibility from OD matrix on Python
Language:Python 14hfs / landuse_without_buildings
OpenStreetMap: Find residential areas with too few buildings in them
Language:Jupyter Notebook 12alexrigby / LUCST
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
Language:JavaScript 11GeneralLi95 / PyTorch_UCMerced_LandUse
Implement of neural networks on 'UC Merced Land Use' dataset with PyTorch
Language:Python 11hariomahlawat / An-open-dataset-for-landuse-classification-in-India-for-Sentinel-2
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.
Language:Jupyter Notebook 11Urban-Analytics-Technology-Platform / demoland-project
Developing a modelling system to quantify features of land use in urban environments, UK based
Language:Jupyter Notebook 11- Pi-VAT
devalc / Pi-VAT
A post-processing, interactive visualization, and analysis tool to synthesize multi-scenario, multi-watershed outputs from process-based geospatial models WEPP and SWAT
Language:R 6 TravelModellingGroup / ILUTE
TMG's Integrated Land Use, Transportation, Environment
Language:C# 4ascidian-ai / DEA_MultiSpectralImageTools
Tools for extracting and preparing Digital Earth Australia Satellite Multi-Spectral Images for use in Deep Learning Machine models.
Language:Jupyter Notebook 3Synthesize 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.
Language:R 3geo2france / ocs2d
Ressources pour l'exploitation de l'occupation du sol à 2 dimensions des Hauts-de-France
Language:QML 3bcgov / fetaMapper
A spatial web application for visualizing fisher equivalent territories
Language:R 1CecSve / InsectMobile_Diversity_and_Biomass
Analysis for InsectMobile diversity and biomass across Denmark and Germany in the summer of 2018 and 2019
Language:R 1CRAFTY-ABM / CRAFTY_Documentation
The elaborated documentation imported from the previous Confluence wiki (https://www.wiki.ed.ac.uk/display/CRAFTY)
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- IndiaSat
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.
Language:Python 1 kakarot108 / GEE_Applications
Google Earth Engine Application in the field of Climate change and Earth system monitoring by analysing climatic, physical and biophysical data.
Language:JavaScript 1OpheliaMiralles / UNEP-cote-d-ivoire
Environmental data visualisation and exploration
Language:Python 1spaykin / IL-ag-landuse
Spatial analysis of agricultural land use trends in Illinois with a focus on the Chicagoland area and collar counties in northeastern Illinois.
Language:R 1valentinitnelav / code4green-bio06
Code and data used during the hackathon Code4Green by the team team_cli07_landscapeoptimizer
Language:R 1This project aims to visualise Australian Collaborative Land Use and Management Program (ACLUMP) data from ESRI Shape File format using the GeoPandas library.
Language:Jupyter Notebook 0Study that examines the landscape-level effects of land cover and land use on flying insect biomass
Language:R 0- Language:Fortran 0
Doctor-Who / ocs2d
Ressources pour l'exploitation de l'occupation du sol à 2 dimensions des Hauts-de-France
Language:QML 0froukje / ai4eo-challenge-slovenia
AI4EO challenge
Language:Jupyter Notebook 0GispoCoding / hame-ryhti
HAME regional land use planning database compatible with national Ryhti data model
Language:Python 0- Language:TypeScript 0
MuhammedM294 / EuroSat
Land Use /Land Cover Classification using PyTorch with the RGB EuroSat Dataset
Language:Jupyter Notebook 0- 0
yuichiwsk / WQMonitoringSites_Japan
Information about MoE water quality monitoring sites in Japan
0LucasWz / ocsge-martinique
Création d'un tableau de données croisé à partir des données de l'OCS-GE de Martinique en vu d'une classification des espaces naturels.
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