Books  Data Analysis & Modelling  Cartography, Remote Sensing, Image Analysis & GIS 

Remote Sensing Geology

By: RP Gupta

655 pages, 162 figs, 51 tabs


Hardback | Dec 2002 | Edition: 2 | #133599 | ISBN: 3540431853
Availability: Usually dispatched within 1-2 weeks Details
NHBS Price: £153.00 $198/€181 approx

About this book

Fully revised and updated, this book contains 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. Also describes the integration of photogeology into remote sensing as well as how remote sensing is used as a tool of geo-exploration.

From the reviews: "This book is mainly intended for graduate students and research workers 'interested in applied Earth sciences'. ! it has very useful, brief descriptions of subjects ! . There are figures on most pages, which considerably help the understanding of the subject ! . The index is very good ! . Libraries should definitely purchase it as a useful reference book, especially with its more than usual references to tropical countries ! ." (R.B.King, The Photogrammetric Record, Vol. 18 (104), 2003) From the reviews of the second edition: "This is a useful book for teaching remote sensing and how it can be used in geology in particular. ! The book is divided into 16 very interesting chapters. ! The appendices at the end are very good in explaining what is meant by color along with other valuable items. I strongly recommend this book for anyone who is teaching remote sensing for geologists." (Fouad Michael, American Association of Petroleum Geologists, Vol. 87 (12), 2003)


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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