Proceedings of the International Symposium on Remote Sensing of Environment
Author :
Publisher :
Page : 714 pages
File Size : 14,51 MB
Release : 1984
Category : Geophysics
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Author :
Publisher :
Page : 714 pages
File Size : 14,51 MB
Release : 1984
Category : Geophysics
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Author :
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Page : 758 pages
File Size : 36,6 MB
Release : 1983
Category : Astronautics in earth sciences
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Page : 770 pages
File Size : 43,65 MB
Release : 1982
Category : Arid regions
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Page : 52 pages
File Size : 20,71 MB
Release : 1985
Category : Arctic regions
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Author : Thomas Sever
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Page : 132 pages
File Size : 22,41 MB
Release : 1985
Category : Archaeology
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Page : 718 pages
File Size : 46,19 MB
Release : 1984
Category : Geophysics
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Author : Prasad Thenkabail
Publisher : CRC Press
Page : 2262 pages
File Size : 39,60 MB
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 1482282674
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso
Author : Ph.D., Prasad S. Thenkabail
Publisher : CRC Press
Page : 695 pages
File Size : 34,23 MB
Release : 2015-10-02
Category : Technology & Engineering
ISBN : 1482217929
This book is the most comprehensive documentation of the scientific and methodological advances that have taken place in understanding remote sensing data, methods, and applications over last 50 years. In a very practical way it demonstrates the experience, utility, methods and models used in studying a wide array of water applications. There are more than 100 leading global experts in the field contributing to this work.
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Page : 1084 pages
File Size : 41,88 MB
Release : 1985
Category : Landsat satellites
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Author : Qihao Weng
Publisher : CRC Press
Page : 600 pages
File Size : 19,74 MB
Release : 2011-02-16
Category : Mathematics
ISBN : 1420091816
Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables and classification algorithms, and the analyst's e