Topic: landuse Goto Github
Some thing interesting about landuse
Some thing interesting about landuse
landuse,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,Agent-based model representing the competition for land between stakeholders of farming and herding
User: andros-spica
landuse,The NMC model, a sequel of the Musical Chairs model, explores how land use competition could be constrained by cooperation and social institutions.
User: andros-spica
landuse,This project aims to visualise Australian Collaborative Land Use and Management Program (ACLUMP) data from ESRI Shape File format using the GeoPandas library.
User: ascidian-ai
landuse,Tools for extracting and preparing Digital Earth Australia Satellite Multi-Spectral Images for use in Deep Learning Machine models.
User: ascidian-ai
landuse,Computational tools for urban analysis
Organization: benchmark-urbanism
Home Page: https://cityseer.benchmarkurbanism.com
landuse,Study that examines the landscape-level effects of land cover and land use on flying insect biomass
User: cecsve
landuse,Analysis for InsectMobile diversity and biomass across Denmark and Germany in the summer of 2018 and 2019
User: cecsve
landuse,Fortran GeoTIFF reader module
Organization: cnea-aq
landuse,The elaborated documentation imported from the previous Confluence wiki (https://www.wiki.ed.ac.uk/display/CRAFTY)
Organization: crafty-abm
landuse,Calculate accessibility from OD matrix on Python
User: davidsvale
landuse,A post-processing, interactive visualization, and analysis tool to synthesize multi-scenario, multi-watershed outputs from process-based geospatial models WEPP and SWAT
User: devalc
landuse,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.
User: devalc
Home Page: https://cdeval.shinyapps.io/Viz-WEPPCloud/
landuse,AI4EO challenge
User: froukje
landuse,Implement of neural networks on 'UC Merced Land Use' dataset with PyTorch
User: generalli95
landuse,Ressources pour l'exploitation de l'occupation du sol à 2 dimensions des Hauts-de-France
Organization: geo2france
Home Page: https://www.geo2france.fr/portail/groupe-thematique/occupation-du-sol-comite-technique-ocs2d
landuse,HAME regional land use planning database compatible with national Ryhti data model
Organization: gispocoding
landuse,🗺️ 全國土地使用分區GeoJSON下載平台
User: godspeedhuang
landuse,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,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,OpenStreetMap: Find residential areas with too few buildings in them
User: hfs
landuse,Accessibility Toolbox for R and ArcGIS
User: higgicd
landuse,A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
User: johnnay
Home Page: http://johnjnay.com/forecastVeg/
landuse,A map tool for comparing places
User: jpatrickdill
Home Page: https://maps.paric.dev/
landuse,Google Earth Engine Application in the field of Climate change and Earth system monitoring by analysing climatic, physical and biophysical data.
User: kakarot108
landuse,Land surface classification using remote sensing data with unsupervised machine learning (k-means).
User: lhalloran
landuse,Land Use /Land Cover Classification using PyTorch with the RGB EuroSat Dataset
User: muhammedm294
landuse,Environmental data visualisation and exploration
User: opheliamiralles
landuse,All Projects here
User: pavankz
Home Page: https://code.earthengine.google.co.in/?accept_repo=users/b171905/GEE_Practical
landuse,Spatial analysis of agricultural land use trends in Illinois with a focus on the Chicagoland area and collar counties in northeastern Illinois.
User: spaykin
landuse,中興新洲,一座佇立在淡水河**的都會桃花源。
User: taipeinative
landuse,TMG's Integrated Land Use, Transportation, Environment
Organization: travelmodellinggroup
landuse,Developing a modelling system to quantify features of land use in urban environments, UK based
Organization: urban-analytics-technology-platform
Home Page: https://urban-analytics-technology-platform.github.io/demoland-project/
landuse,Code and data used during the hackathon Code4Green by the team team_cli07_landscapeoptimizer
User: valentinitnelav
landuse,Information about MoE water quality monitoring sites in Japan
User: yuichiwsk
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