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Learning Geospatial Analysis with Python-Second Edition

You're reading from   Learning Geospatial Analysis with Python-Second Edition An effective guide to geographic information systems and remote sensing analysis using Python 3

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783552429
Length 394 pages
Edition 1st Edition
Languages
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Toc

Table of Contents (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python FREE CHAPTER 2. Geospatial Data 3. The Geospatial Technology Landscape 4. Geospatial Python Toolbox 5. Python and Geographic Information Systems 6. Python and Remote Sensing 7. Python and Elevation Data 8. Advanced Geospatial Python Modeling 9. Real-Time Data 10. Putting It All Together Index

Geolocating photos


Photos taken with GPS-enabled cameras including smartphones store location information in the header of the file in a format called exchangeable image file format (EXIF) tags. These tags are based largely on the same header tags used by the TIFF image standard. In this example, we'll use those tags to create a shapefile with point locations for the photos and file paths to the photos as attributes.

We'll use the Python Imaging Library in this example because it has the ability to extract EXIF data. Most photos taken with smartphones are geotagged images; however, you can download the set used in this example from the following URL:

http://git.io/vczR0

First, we'll import the libraries we need including PIL for the image metadata and PyShp for the shapefiles:

import glob
import os
try:
    import Image
    import ImageDraw
except:
    from PIL import Image
    from PIL.ExifTags import TAGS
import shapefile

Now, we'll need three functions. The first extracts the EXIF data...

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