Raster handling with Python and GDAL смотреть онлайн

Read, create, and modify geospatial raster (grid) data sets with GDAL in Python and materials provided at https://hydro-informatics.com/jupyter/geo-raster.html

The jupyter notebooks can be git-cloned (or zip-downloaded) from the course repository: https://github.com/hydro-informatics/jupyter-python-course.git

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-basics/pyinstall.html

The RiverArchitect sample data is available at https://github.com/RiverArchitect/SampleData/tree/master/01_Conditions/2100_sample

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