This post shows you how to access public Google Earth Engine assets, view and analyze them, and save as a portable GeoTIFF format using only the terra R package.
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- This talk introduces a geospatial extension to the Parquet file format (GeoParquet) and a geospatial extension to the Arrow columnar format (GeoArrow).
- This post discusses some of the differences between AMD and ESM, and includes a hands-on tutorial to help you build your first ESM project with Vite and the ArcGIS API for JavaScript.
- The scikit-mobility library allows to represent trajectories and mobility flows, manage and manipulate mobility data, extract mobility metrics and patterns, and more. Check it out here.
- Want to learn more about satellite imagery? Here you can find tutorials, user guides and examples of how you can use satellite imagery to analyze various phenomena and events around the globe.
- This book represents up-to-date comprehensive review of theory and techniques to validate land use cover information. Check it out here.
- The AiTLAS toolbox includes state-of-the-art machine learning methods for exploratory and predictive analysis of satellite imagery as well as repository of AI-ready earth observation datasets.
- gdal3.js GUI is a web application that allows you to convert raster and vector geospatial data to various formats and coordinate systems. Try it out here.
- tidyterra is an R package that adds common methods from the tidyverse for SpatRaster and SpatVectors objects created with the terra package.
- The goal of spatialsample is to provide functions and classes for spatial resampling to use with rsample. Learn more here.
