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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

Downloading map and elevation images

We'll download the OSM base map first, which has streets and labels:

# Download the OSM basemap
log.info("Downloading basemap")
wms(mminx, mminy, mmaxx, mmaxy, osm_WMS, osm_lyr, osm_epsg, osm_style, osm_img, w, h)

This section will produce an intermediate image, as shown in the following screenshot:

Downloading map and elevation images

Next, we'll download some elevation data from the SRTM dataset. SRTM is nearly-global and provides a 30-90 m resolution. The Python SRTM.py module makes working with this data easy. SRTM.py downloads the datasets that it needs to make a request. So if you download data from different areas, you may need to clean out the cache located in your home directory (~/.srtm). This part of the script can also take up to 2-3 minutes to complete depending on your computer and Internet connection speeds:

# Download the SRTM image

# srtm.py downloader
log.info("Retrieving SRTM elevation data")
# The SRTM module will try to use a local cache
...
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