The Geospatial Data Abstraction Library (GDAL) is the standard for managing spatial data formats. GDAL has been incorporated into many different enterprise and open source GIS projects. Because GDAL...
Category: GDAL
Installing GDAL for Python with pip , the package installation package, is not as easy as it may seem. If you try to install GDAL to a python environment with a command like python -m pip install...
The Geospatial Data Abstraction Library (GDAL) is a fundamental package for spatial analysis with Python. GDAL is a powerful package with a lot of functionality. However, it is notoriously difficult...
Use Python to Convert Polygons to Raster with GDAL.RasterizeLayer
When you work with spatial data it's inevitable that you will need to implement information from both a vector and raster data source for the same location. This task can easily be accomplished...
Aerial imagery is used for purposes ranging from military actions to checking out the backyard of a house you might buy. Our human brains can easily identify features in these photographs, but it's...
Python: Geographic Object-Based Image Analysis (GeOBIA) – Part 2: Image Classification
Use the random forests algorithm to classify image segments into land cover categories. This post is a continuation of Geographic Object-Based Image Analysis (GeOBIA). Herein, we use data describing...
