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PostGIS Cookbook

You're reading from   PostGIS Cookbook Store, organize, manipulate, and analyze spatial data

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Product type Paperback
Published in Mar 2018
Publisher
ISBN-13 9781788299329
Length 584 pages
Edition 2nd Edition
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Authors (6):
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Pedro Wightman Pedro Wightman
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Pedro Wightman
Bborie Park Bborie Park
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Bborie Park
Paolo Corti Paolo Corti
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Paolo Corti
Stephen Vincent Mather Stephen Vincent Mather
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Stephen Vincent Mather
Thomas Kraft Thomas Kraft
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Thomas Kraft
Mayra Zurbarán Mayra Zurbarán
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Mayra Zurbarán
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Table of Contents (14) Chapters Close

Preface 1. Moving Data In and Out of PostGIS FREE CHAPTER 2. Structures That Work 3. Working with Vector Data – The Basics 4. Working with Vector Data – Advanced Recipes 5. Working with Raster Data 6. Working with pgRouting 7. Into the Nth Dimension 8. PostGIS Programming 9. PostGIS and the Web 10. Maintenance, Optimization, and Performance Tuning 11. Using Desktop Clients 12. Introduction to Location Privacy Protection Mechanisms 13. Other Books You May Enjoy

Processing and loading rasters with GDAL VRT


Though PostGIS has plenty of functions for working with rasters, it is sometimes more convenient and more efficient to work on the source rasters before importing them into the database. One of the times when working with rasters outside the database is more efficient is when the raster contains subdatasets, typically found in HDF4, HDF5, and NetCDF files.

Getting ready

In this recipe, we will preprocess a MODIS raster with the GDAL VRT format to filter and rearrange the subdatasets. Internally, a VRT file is comprised of XML tags. This means we can create a VRT file with any text editor. But since creating a VRT file manually can be tedious, we will use the gdalbuildvrt utility.

The MODIS raster we use is provided by NASA, and is available in the source package.

You will need GDAL built with HDF4 support to continue with this recipe, as MODIS rasters are usually in the HDF4-EOS format.

The following screenshot shows the MODIS raster used in this recipe...

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