GDAL is a very useful and robust open source tool set for manipulating raster data sets. Unfortunately, there are only limited resources available to learn the GDAL command line utilities or the associated APIs for Linux and Windows users. Below are some useful websites for learning more about GDAL, open-source geoprocessing applications, and how to apply them.
Source location for GDAL open source project. Foundational information on command line utilities, API, programming, and open source rasters. Critical resource.
Important open source organization for geospatial tools and tutorial.
Aggegator of open source tools. Has binaries for Windows and Linux
Utah State University Course Notes
Course notes about geoprocessing with Python and GDAL. Well organized and widely referenced. Good place to start learning open source geoprocessing.
Max Konig’s Blog on Geoinformatics
A useful blog with many scripting examples on how to process large datasets with open source geomatics tools. One of the best places to learn basic GDAL procedures.
Introduction to GDAL from state of Michigan geospatial and remote sensing resources
DM Solutions Group
Tutorial on working with elevation data in GDAL
FWTools / GDAL tutorials for file conversion
UC DAVIS- California Soils Resource Lab
Information on open source processing of vector and raster data for Soil Scientists but universally useful
UCSB – National Center for Ecological Analysis and Synthesis
GDAL reference info
Africa Cybertaxonomy Portal – Royal Museaum of Central Africa
Pyramid and raster tutorial