This post shows you how to reshape rasters using the Rasterio Python package and add dimensions to raster arrays.
Data-processing
- Here is a step-by-step guide on quantifying land-use within a region using QGIS processing tools and the ESA WorldCover dataset.
- If you are interested in data analysis, data visualization, and modeling of geographic data in R, you should check out this free book by Robin Lovelace et al.
- Introducing a new Python package named geospatial that enables to install commonly used Python packages for geospatial analysis and data visualization with only one line of code.
- The leafmap package is free and open-source, enabling users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab and Jupyter Notebook.
- The geemap package is built upon ipyleaflet and ipywidgets, and enables users to analyze and visualize Google Earth Engine datasets interactively within a Jupyter-based environment.
