Raster Data Analysis With Spatial SQL & Apache Sedona

One of the superpowers of Apache Sedona is the ability to work with both vector data (geometries + associated attributes) and raster data (cells + band values) at scale - all using the power of SQL. In this live stream we'll see how to load raster data using Wherobots Cloud and use Spatial SQL to perform raster data operations like map algebra to compute changes across raster time series or calculate NDVI for landcover analysis using satellite imagery. We'll also cover joining raster data and vector data for operations like zonal statistics. Create a free Wherobots Cloud account to follow along: https://www.wherobots.services/ Code available on GitHub here: https://github.com/johnymontana/raster-data-analysis-spatial-sql Chapters 0:00 Introduction And Overview Of Wherobots Cloud & Apache Sedona 5:40 Overview of raster data 14:29 Loading a GeoTiff in Sedona 21:44 Map algebra operations and calculating NDGI 25:26 Loading multiple rasters in Sedona 30:24 Zonal statistics 38:46 Tiling raster datasets 47:39 Zonal statistics with tiled rasters 54:45 Risk analysis for insurance example