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SAR Image Interpretation for Various Land Covers: A Practical Guide [Kõva köide]

  • Formaat: Hardback, 136 pages, kõrgus x laius: 234x156 mm, kaal: 635 g, 5 Tables, black and white; 94 Illustrations, color
  • Ilmumisaeg: 16-Dec-2019
  • Kirjastus: CRC Press
  • ISBN-10: 0367209969
  • ISBN-13: 9780367209964
Teised raamatud teemal:
SAR Image Interpretation for Various Land Covers: A Practical GuideSuurem pilt
  • Formaat: Hardback, 136 pages, kõrgus x laius: 234x156 mm, kaal: 635 g, 5 Tables, black and white; 94 Illustrations, color
  • Ilmumisaeg: 16-Dec-2019
  • Kirjastus: CRC Press
  • ISBN-10: 0367209969
  • ISBN-13: 9780367209964
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780367209964.html
Märksõnad:
This full color book is a comprehensive visual reference for the interpretation of synthetic aperture radar (SAR) images with examples of how technological specifications may affect interpretation solutions. It contains a summary review of image acquisition parameters of consequence on the visual representation of objects, introduces traditional interpretation keys under different light and applies them for considering regional landscape components and identifying large-scale geographical ensembles. Through elements of interpretation such as the construct of tone, texture, pattern, size, and shape, the book explains the rich unique context of many terrains. It provides also several SAR X- and C-band image examples of regional and large-scale land use and land cover (LULC) ensembles, includes important explanations for each illustration, and highlights selected SAR image applications. Ancillary information includes acquisition specifications, a geographic scale, and the image-center latitude and longitude.

Features:











Provides ready access to any type of information for an image interpretation problem related to current LULC classification schemes.





Presents scalable geographic information interpreted at a regional scale and land cover ensembles that can also be interpreted locally.





Provides comparative examples of images acquired from X- and C-band, opposed look directions, near- and far-range incidence angles, like- and cross-polarization modes.





Includes practical explanations easily transferred to individuals research projects.

Designed as "visual dictionary," SAR Image Interpretation for Various Land Covers: A Practical Guide, is an excellent introduction to the visual interpretation of SAR images for numerous types of LULC. Both practitioners and students will familiarize themselves with and expand their knowledge of geographic information conveyed from radar images while government agencies and businesses that use LULC-related data for emergency response cases of for urban and regional planning, will find this book invaluable.
Preface xi
Acknowledgments xiii
Biography xv
List of Abbreviations
xvii
1 Introduction
1(4)
2 Synthetic Aperture Radar: An Overview
5(8)
2.1 Incidence Angle
6(1)
2.2 Orbital Path and Look Direction
7(2)
2.3 Polarization
9(1)
2.4 Spatial Resolution
9(1)
2.5 Wavelength
10(1)
2.6 Summary
11(2)
3 Image Interpretation Keys
13(16)
3.1 Tone
13(2)
3.2 Texture
15(4)
3.3 Pattern
19(3)
3.4 Shadow
22(2)
3.5 Shape and Dimensions
24(2)
3.6 Summary
26(3)
4 Regional Land Cover Descriptions
29(14)
4.1 Coastal Development
29(1)
4.2 Forest Wrapped Developments
30(2)
4.3 Heterogeneous Land Cover
32(3)
4.4 Urbanized Islands
35(1)
4.5 Valleys and Mountains
35(3)
4.6 Widespread Agriculture
38(1)
4.7 Wintertime Environment
38(2)
4.8 Summary
40(3)
5 Large Scale Geographical Ensembles
43(68)
5.1 Barren Lands
43(2)
5.1.1 Rock
44(1)
5.1.2 Unconsolidated Material
44(1)
5.2 Developed
45(8)
5.2.1 High-Intensity
46(1)
5.2.1.1 Commercial and Business District
46(1)
5.2.1.2 Industrial
46(2)
5.2.1.3 Residential
48(1)
5.2.2 Medium Intensity
49(1)
5.2.3 Low-Intensity
50(2)
5.2.4 Open Space
52(1)
5.3 Producer Industry
53(11)
5.3.1 Agriculture
54(1)
5.3.2 Hydro Power
54(1)
5.3.2.1 Dam
54(1)
5.3.2.2 Reservoir or Head Pond
55(1)
5.3.2.3 Transmission Line Corridor
56(1)
5.3.3 Logging
57(2)
5.3.4 Mining
59(1)
5.3.5 Oil Refining
60(2)
5.3.6 Pulp and Paper
62(1)
5.3.7 Water Treatment
62(1)
5.3.8 Wind Turbines
63(1)
5.4 Service Industry
64(4)
5.4.1 Indoor Service Industry
64(1)
5.4.2 Transportation
65(3)
5.5 Landforms
68(12)
5.5.1 Cliff
70(2)
5.5.2 Hill
72(2)
5.5.3 Mountain
74(2)
5.5.4 Plains
76(3)
5.5.5 Valley
79(1)
5.6 Recreational
80(10)
5.6.1 Arena
82(1)
5.6.2 Golf Course
83(1)
5.6.3 Hippodrome
84(2)
5.6.4 Marina
86(1)
5.6.5 Ski Resort
86(2)
5.6.6 Sport Fields
88(2)
5.7 Vegetation
90(7)
5.7.1 Forest
91(1)
5.7.2 Forest Fire Scar
91(1)
5.7.3 Herbaceous, Natural
91(1)
5.7.4 Herbaceous, Planted
92(2)
5.7.5 Lawn
94(1)
5.7.6 Tree Row
95(1)
5.7.7 Tree, Single
96(1)
5.8 Water
97(9)
5.8.1 Canal
98(1)
5.8.2 Irrigation Pond
99(1)
5.8.3 Lake
100(1)
5.8.4 River
101(1)
5.8.5 Water Surface State
101(5)
5.9 Wetland
106(1)
5.10 Summary
107(4)
6 Image Acquisition Specifications into Effect
111(12)
6.1 Incidence Angle
111(2)
6.2 Look Direction
113(4)
6.3 Polarization
117(2)
6.4 Spatial Resolution
119(2)
6.5 Summary
121(2)
7 Conclusion
123(2)
Bibliography 125(8)
Index 133
Élizabeth L. Simms is Associate Professor in the Department of Geography at Memorial University. She received her MSc degree from the Université de Sherbrooke and completed her PhD from the Université de Montréal. She worked for the Application Division of the Canada Centre for Remote Sensing on research projects related to the ocean, coastal environment, agriculture, and natural resource monitoring. In 1990, she joined the Department of Geography, Memorial University. Her academic activities include teaching courses in remote sensing, introductory geography information sciences, field methods, research design, and quantitative methods. Dr. Simms is currently coordinator of the Diploma in Geographic Information Sciences. Dr. Simms supervised graduate students in research based on radar and multispectral images, applied to mapping of coastal ice, boundary environments such as the coastal zone, Arctic tree line and glacier ice margins. Her research interest include developing teaching material to assist with learning of land use and land cover interpretation from RADARSAT-2 and COSMO- SkyMed images, developed area intensity classification from synthetic aperture radar, and the evaluation of remote sensing classification schemes for the representation of landscape features described through Aboriginal language.