It appears that your session has timed out. Please click here to sign in
again. NOTE that if there is any unsaved work on this page, it will be lost.
Advanced Raster Analytics and AI Algorithms for GIS & Remote Sensing Hands-on Workshop
#GRS
Join and unlock the power of Python for GIS & Remote Sensing Analytics! You'll master techniques like analysing raster data, extracting terrain data from DEMs, reducing noise from satellite imagery, and leveraging AI to extract land cover features. We'll guide you through using top-notch Python libraries such as Numpy, Rasterio, RichDEM, XArray, and Scikit-eo. Sign up now and take the first step towards becoming an expert!
Highlights
Python essentials: Focus solely on the essentials needed for raster analysis. No overwhelming or unrelated computer science concepts.
Connecting Python to Raster Data: Gain a deep understanding of how raster data is structured in Python by mastering two-dimensional arrays with the Numpy package.
Mastering Raster Packages: Learn to effectively use powerful packages like Rasterio, RichDEM, XArray, and Scikit-eo for your raster analytics projects.
Raster analysis: Implement two key examples: extract slope and aspect values from DEM raster, generate median composites to eliminate clouds and shadow noise in imagery.
Exploring Machine Learning Algorithms: Dive into advanced techniques to extract land cover features using cutting-edge machine learning algorithms.