Alternatives and similar repositories for Workshop-Cartography-Journal-Figures

Users that are interested in Workshop-Cartography-Journal-Figures are comparing it to the libraries listed below

• veroandreo / grass_opengeohub2019
  Presentations for the OpenGeoHub Summer School 2019: https://opengeohub.org/summer_school_2019
  ☆20Updated last year
• kadyb / OGH2023
  OpenGeoHub 2023 Workshop: "Unsupervised classification (clustering) of satellite images"
  ☆17Updated last year
• Korto19 / Multiple-Maps
  Multiple map from layers to one layout
  ☆11Updated 4 years ago
• HannaMeyer / Geostat2018
  Material for the course on machine-learning based environmental monitoring at geostat 2018
  ☆37Updated 6 years ago
• north-road / qgis-processing-r
  QGIS Processing R Provider Plugin
  ☆64Updated last year
• Nowosad / OGH_summer_school_2023
  Links and slides from the OpenGeoHub summer school 2023
  ☆47Updated last year
• Open-EO / openeo-r-client
  R client package for working with openEO backends
  ☆67Updated 3 weeks ago
• PondiB / openeocubes
  A lightweight R-based RESTful service to analyze Earth Observation data cubes in the cloud.
  ☆32Updated last week
• brazil-data-cube / rstac
  R Client Library for SpatioTemporal Asset Catalog
  ☆73Updated this week
• IVFL-BOKU / sentinel2
  R Package to access the Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products
  ☆34Updated last month
• red-list-ecosystem / REMAP
  Enabling large-scale ecosystem mapping and assessment
  ☆37Updated 6 years ago
• simonmoulds / lulcc
  land use change modelling in R
  ☆42Updated 5 years ago
• jessjaco / gee-blend
  Various blending functions for Google Earth Engine
  ☆37Updated 3 years ago
• r-lidar / lidRbook
  The lidR package tutorials book
  ☆24Updated 2 weeks ago
• williamlidberg / Whitebox-tutorial
  This tutorial demonstrates how to extract streams and watersheds from high resolution digital elevation models
  ☆24Updated last year
• mnocci / 2019_OpenGeoHub_machine-learning-madlene
  OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training
  ☆11Updated 5 years ago
• JesJehle / earthEngineGrabR
  Simplify the acquisition of remote sensing data
  ☆53Updated 4 years ago
• ZGIS / semantique
  Semantic Querying in Earth Observation Data Cubes
  ☆16Updated 2 months ago
• sdesabbata / granolarr
  A reproducible resource for teaching geographic data science in R
  ☆33Updated 6 months ago
• r-earthengine / cheatsheet
  🌎🌏🌏 Google Earth Engine with R : : Cheatsheet 🚀
  ☆17Updated 3 years ago
• jeffreyevans / GradientMetrics
  ArcGIS Geomorphometry & Gradient Metrics toolbox
  ☆21Updated 4 years ago
• brownag / rgeedim
  Search, composite, and download 'Google Earth Engine' imagery with the 'Python' module 'geedim'
  ☆50Updated 2 months ago
• ducciorocchini / cblindplot
  ☆21Updated 8 months ago
• MBalthasar / rHarmonics
  R package for harmonic modelling of time-series data
  ☆29Updated 4 years ago
• Nowosad / OGH_summer_school_2022
  Links and slides from the OpenGeoHub summer school 2022
  ☆47Updated 2 years ago
• Envirometrix / BigSpatialDataR
  Slides and lecture notes on how to process large spatial data with R
  ☆43Updated 4 years ago
• jdbcode / LandsatLinkr
  An automated system for creating spectrally consistent and cloud-free Landsat image time series stacks from a combination of MSS, TM, ETM…
  ☆49Updated 9 months ago
• environmentalinformatics-marburg / rsdb
  Remote Sensing Database
  ☆31Updated last week
• r-spatial / RSAGA
  ☆25Updated 3 months ago
• rsbivand / ectqg19-workshop
  R&Py Spatial Analysis Workshop, 5 September 2019: European Colloquium on Theoretical and Quantitative Geography
  ☆33Updated 5 years ago