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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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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

Creating a flood inundation model


In the next example, we'll enter the world of hydrology. Flooding is one of the most common and devastating natural disasters, which affects nearly every population on the globe. Geospatial models are a powerful tool in estimating the impact of a flood and mitigating that impact before it happens. We often hear in the news that a river is reaching flood stage. But that information is meaningless if we can't understand the actual impact. Hydrological flood models are expensive to develop and can be very complex. These models are essential for engineers building flood control systems. However, first responders and potential flood victims are only interested to know about the impact of an impending flood.

We can understand the flooding impact in an area using a very simple and easy-to-comprehend tool called a flood inundation model. This model starts with a single point and floods an area with the maximum volume of water that a flood basin can hold at a particular...

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