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geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery analysis using Google Earth Engine data and cloud computing. It provides a mapping tool for displaying geospatial datasets within Jupyter notebooks and a suite of tools for classifying imagery and calculating zonal statistics. The project includes a utility to convert geospatial analysis scripts from JavaScript into Python code to facilitate data manipulation. It also enables the generation of timelapse animations and time-series visualizations from satellite imagery catalogs. The
Airborne LiDAR data manipulation and visualisation for forestry application
Google Earth Engine for R
The main features of r-spatial/rgee are: Remote Sensing and Imagery, Geospatial Data Services, R Spatial Analysis Tools.
Projects with overlapping indexed features include: giswqs/geemap — geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery… jesjehle/earthenginegrabr — Simplify the acquisition of remote sensing data. giswqs/whiteboxr — WhiteboxTools R Frontend. kongdd/phenofit — R package: A state-of-the-art Vegetation Phenology extraction package, phenofit. jean-romain/lidr — Airborne LiDAR data manipulation and visualisation for forestry application. r-spatialecology/landscapemetrics — Landscape Metrics for Categorical Map Patterns 🗺️ in R.
