Skip to Main Content
Learning Geospatial Analysis with Python - Third Edition
book

Learning Geospatial Analysis with Python - Third Edition

by Joel Lawhead
September 2019
Beginner content levelBeginner
456 pages
10h 53m
English
Packt Publishing
Content preview from Learning Geospatial Analysis with Python - Third Edition

Classifying images

Automated remote sensing (ARS) is rarely ever done in the visible spectrum. ARS processes images without any human input. The most commonly available wavelengths outside of the visible spectrum are infrared and near-infrared.

The following illustration is a thermal image (band 10) from a fairly recent Landsat 8 flyover of the US Gulf Coast from New Orleans, Louisiana to Mobile, Alabama. The major natural features in the image have been labeled so that you can orient yourself:

Because every pixel in that image has a reflectance value, it is information as opposed to just color. The type of reflectance can tell us definitively ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Mastering Geospatial Analysis with Python

Mastering Geospatial Analysis with Python

Silas Toms, Eric van Rees, Paul Crickard

Publisher Resources

ISBN: 9781789959277Supplemental Content