Remote Sensing Geology / Edition 2

Remote Sensing Geology / Edition 2

by Ravi P. Gupta, R. P. Gupta
     
 

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ISBN-10: 3540431853

ISBN-13: 9783540431855

Pub. Date: 03/10/2003

Publisher: Springer Berlin Heidelberg

For nearly three decades there has been a phenomenal growth in the field of Remote Sensing. The second edition of this widely acclaimed book has been fully revised and updated. The reader will find a wide range of information on various aspects of geological remote sensing, ranging from laboratory spectra of minerals and rocks, ground truth, to aerial and

Overview

For nearly three decades there has been a phenomenal growth in the field of Remote Sensing. The second edition of this widely acclaimed book has been fully revised and updated. The reader will find a wide range of information on various aspects of geological remote sensing, ranging from laboratory spectra of minerals and rocks, ground truth, to aerial and space-borne remote sensing.
This volume describes the integration of photogeology into remote sensing as well as how remote sensing is used as a tool of geo-exploration. It also covers a wide spectrum of geoscientific applications of remote sensing ranging from meso- to global scale.
The subject matter is presented at a basic level, serving students as an introductory text on remote sensing. The main part of the book will also be of great value to active researchers.

Product Details

ISBN-13:
9783540431855
Publisher:
Springer Berlin Heidelberg
Publication date:
03/10/2003
Edition description:
2nd ed. 2003
Pages:
656
Product dimensions:
8.27(w) x 10.98(h) x 0.36(d)

Table of Contents

From the contents: Introduction.- Physical Principles.- Spectra of Minerals and Rocks.- Photography.- Multispectral Imaging Systems.- Geometric Aspects of Photographs and Images.- Image Quality and Principles of Interpretation.- Interpretation of Data in the Solar Reflection Region.- Interpretation of Data in the Thermal Infrared Region.- Digital Image Processing of Multispectral Data.- Hyperspectral Sensing.- Microwave Sensors.- Interpretation of SLAR Imagery.- SAR Interferometry.- Integrating Remote Sensing Data with Other Geodata (GIS Approach).- Geological Applications.


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