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PostGIS Cookbook

You're reading from   PostGIS Cookbook For web developers and software architects this book will provide a vital guide to the tools and capabilities available to PostGIS spatial databases. Packed with hands-on recipes and powerful concepts

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Product type Paperback
Published in Jan 2014
Publisher
ISBN-13 9781849518666
Length 484 pages
Edition Edition
Languages
Tools
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Toc

Table of Contents (18) Chapters Close

PostGIS Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
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 Index

Warping and resampling rasters


In the previous recipe, we processed a MODIS raster to extract only those subdatasets that are of interest, in a more suitable order. Once done with the extraction, we imported the MODIS raster into its own table.

Here, we make use of the warping capabilities provided in PostGIS. This ranges from simply transforming the MODIS raster to a more suitable projection to creating an overview by resampling the pixel size.

Getting ready

We will use several PostGIS warping functions, specifically ST_Transform() and ST_Rescale(). The ST_Transform() function reprojects a raster to a new spatial reference system (for example, from WGS84 to NAD83). The ST_Rescale() function shrinks or grows the pixel size of a raster.

How to do it...

The first thing we will do is transform our raster since the MODIS rasters have their own unique spatial-reference system. We will convert the raster from MODIS Sinusoidal projection to US National Atlas Equal Area (SRID 2163).

Before we transform...

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