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Remote Sensing of Impervious Surfaces
Engelsk
Bogcover for Remote Sensing of Impervious Surfaces af , 9780367577667
Specifikationer
Sprog:
Engelsk
Sider:
494
ISBN-13:
9780367577667
Indbinding:
Paperback
ISBN-10:
0367577666
Kategori:
Udg. Dato:
30 jun 2020
Størrelse i cm:
15,5 x 23,4 x 2,8
Oplagsdato:
30 jun 2020

Remote Sensing of Impervious Surfaces

Engelsk
Paperback 2020
Format:

Bog beskrivelse
Remote sensing of impervious surfaces has matured using advances in geospatial technology so recent that its applications have received only sporadic coverage in remote sensing literature. Remote Sensing of Impervious Surfaces is the first to focus entirely on this developing field. It provides detailed coverage of mapping, data extraction, and modeling techniques specific to analyzing impervious surfaces, such as roads and buildings.

Written by renowned experts in the field, this book reviews the major approaches that apply to this emerging field as well as current challenges, developments, and trends. The authors introduce remote sensing digital image processing techniques for estimating and mapping impervious surfaces in urban and rural areas. Presenting the latest modeling tools and algorithms for data extraction and analysis, the book explains how to differentiate roads, roofs, and other manmade structures from remotely sensed images for individual analysis.

The final chapters examine how to use impervious surface data for predicting the flow of storm- or floodwater and studying trends in population, land use, resource distribution, and other real-world applications in environmental, urban, and regional planning. Each chapter offers a consistent format including a concise review of basic concepts and methodologies, timely case studies, and guidance for solving problems and analyzing data using the techniques presented.

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Specifikationer
Sprog:
Engelsk
Sider:
494
ISBN-13:
9780367577667
Indbinding:
Paperback
ISBN-10:
0367577666
Kategori:
Udg. Dato:
30 jun 2020
Størrelse i cm:
15,5 x 23,4 x 2,8
Oplagsdato:
30 jun 2020
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