Raster handling with Python and GDAL скачать в хорошем качестве

Raster handling with Python and GDAL

Read, create, and modify geospatial raster (grid) data sets with GDAL in Python and materials provided at https://hydro-informatics.com/jupyter... The jupyter notebooks can be git-cloned (or zip-downloaded) from the course repository: https://github.com/hydro-informatics/... This tutorial uses the jupyter notebook named geo02-raster.ipynb in the course repository. The flusstools documentatin is available at https://flusstools.readthedocs.io with installation guidance from https://hydro-informatics.com/python-... The RiverArchitect sample data is available at https://github.com/RiverArchitect/Sam... Lecturer: Sebastian Schwindt -- Contents of this video -- 00:02:29 - Load a raster dataset (open_raster) 00:05:03 - Working with flusstool 00:08:00 - Raster band statistics and color tables (standalone scripts) 00:14:08 - GDAL drivers and data types 00:15:10 - Create and save a raster (create_raster) 00:24:06 - Raster calculous (map algebra) 00:30:03 - Reproject (geotransform) a raster 00:43:03 - Zonal statistics (rasterstats) 00:46:13 - Clip a raster 00:48:01 - Slope and aspect rasters with subprocess gdal shell commands 00:49:41 - Least cost path (wrap-up) 00:51:13 - skimage (scikit-image) and route_through_array