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E-grāmata: Remote Sensing of Landscapes with Spectral Images: A Physical Modeling Approach

(University of Washington), (University of Washington)
  • Formāts: PDF+DRM
  • Izdošanas datums: 01-Mar-2018
  • Izdevniecība: Cambridge University Press
  • Valoda: eng
  • ISBN-13: 9780511838545
  • Formāts - PDF+DRM
  • Cena: 61,85 €*
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  • Formāts: PDF+DRM
  • Izdošanas datums: 01-Mar-2018
  • Izdevniecība: Cambridge University Press
  • Valoda: eng
  • ISBN-13: 9780511838545

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Remote Sensing of Landscapes with Spectral Images describes how to process and interpret spectral images using physical models to bridge the gap between the engineering and theoretical sides of remote-sensing and the world that we encounter when we venture outdoors. The emphasis is on the practical use of images rather than on theory and mathematical derivations. Examples are drawn from a variety of landscapes and interpretations are tested against the reality seen on the ground. The reader is led through analysis of real images (using figures and explanations); the examples are chosen to illustrate important aspects of the analytic framework. This textbook will form a valuable reference for graduate students and professionals in a variety of disciplines including ecology, forestry, geology, geography, urban planning, archaeology and civil engineering. It is supplemented by a website hosting digital colour versions of figures in the book as well as ancillary images: www.cambridge.org/9780521662214.

Papildus informācija

A graduate textbook that describes how to process and interpret spectral images using physical models.
About the authors ix
Preface xi
Acknowledgments xiv
1 Extracting information from spectral images 1(38)
1.1 Introduction
1(2)
1.2 Field studies and spectral images
3(4)
1.3 Photo interpretation of spectral images
7(12)
1.4 Spectral analysis of images
19(8)
1.5 Testing and validating results
27(8)
1.6 Summary steps for extracting information
35(4)
2 Spectroscopy of landscapes 39(26)
2.1 Basics of spectroscopy for field investigators
39(13)
2.2 Spectroscopy at landscape scales
52(8)
2.3 Spectroscopy applied to images
60(5)
3 Standard methods for analyzing spectral images 65(61)
3.1 Initial evaluation
65(5)
3.2 Calibration
70(11)
3.3 Enhancement for photo interpretation
81(3)
3.4 Data reconnaissance and organization
84(28)
3.5 Physical modeling with spectral data
112(14)
4 Spectral-mixture analysis 126(42)
4.1 Endmembers, fractions, and residuals
128(7)
4.2 Shade
135(2)
4.3 Fraction images
137(8)
4.4 Finding endmembers
145(14)
4.5 Calibration feedback
159(5)
4.6 Nonlinear mixing
164(1)
4.7 Thermal-infrared images
165(3)
5 Fraction images of landscapes 168(24)
5.1 What to do with fraction images
168(15)
5.2 Classification using endmember fractions
183(9)
6 Target detection 192(52)
6.1 Spectral contrast and target detection
192(32)
6.2 Detection limits
224(13)
6.3 Spectral contrast and spatial scale
237(7)
7 Thematic mapping of landscapes 244(54)
7.1 Field maps and image-derived maps
244(6)
7.2 Thematic mapping with spectral images
250(48)
8 Processes and change 298(39)
8.1 Process pathways in spectral images
298(14)
8.2 Reference pathways
312(12)
8.3 Mapping changes in landscapes
324(13)
Glossary 337(13)
Reference 350(7)
Index 357