2nd Edition
Remote Sensing Handbook, Volume II Image Processing, Change Detection, GIS, and Spatial Data Analysis
Volume II of the Remote Sensing Handbook, Second Edition, is focused on digital image processing including image classification methods in land cover and land use. It discusses object-based segmentation and pixel-based image processing algorithms, change detection techniques, and image classification for a wide array of applications including land use\land cover, croplands, and urban studies, processing hyperspectral remote sensing data, thermal imagery, LiDAR, geoprocessing workflows, frontiers of GIS Science and future pathways. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers, at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.
Features
- Provides the most up-to-date comprehensive coverage of digital image processing.
- Highlights object-based image analysis (OBIA) and pixel-based classification methods and techniques of digital image processing.
- Demonstrates practical examples of image processing for a myriad of applications such as land use\land cover, croplands, and urban.
- Establishes image processing using different types of remote sensing data that includes multispectral, radar, LiDAR, thermal, and hyperspectral.
- Highlights change detection, geoprocessing, and GIScience.
This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision-makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.
Part I: Image Processing Methods and Approaches
1. Digital Image Processing: A Review of the Fundamental Methods and Techniques
Sunil Narumalani and Paul Merani
2. Image Classification Methods in Land Cover and Land Use and Cropland Studies
Mutlu Ozdogan
3. Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis, Object-based Image Analysis, and Geospatial Methods
Soe W. Myint, Victor Mesev, Dale Quattrochi, et al.
4. Hyperspectral Image Processing: Methods and Approaches
Jun Li and Antonio Plaza
5. Collaborative Representation for Hyperspectral Image Classification and Detection
Qian Du, Chiranjibi Shah, Hongjun Su, et al.
6. Thermal Infrared Remote Sensing: Principles and Theoretical Background
Claudia Kuenzer, Philipp Reiners, Jianzhong Zhang,et al.
7. Remote Sensing Image Segmentation: Methods, Approaches, and Advances
Mohammad D. Hossain and Dongmei Chen
8. Object Based Image Analysis: Evolution, History, State-of-the-Art and Future Vision
Thomas Blaschke, Maggi Kelly, and Helena Merschdorf
9. Geospatial Data Integration in OBIA- implications of Accuracy and Validity
Stefan Lang and Dirk Tiede
10. Image Segmentation Algorithms for Land Categorization
James C. Tilton, Selim Aksoy, and Yuliya Tarabalka
11. LiDAR Data Processing and Applications
Shih-Hong Chio, Tzu-Yi Chuang, Pai-Hui Hsu,et al.
Part II: Change Detection
12. Forest Clear-Cutting Detection in Subtropical Regions with Time Series Remotely Sensed Data
Guiying Li, Mingxing Zhou, Ming Zhang, et al.
Part III: Integrating Geographic Information Systems (GIS) and Remote Sensing in Spatial Modeling Framework for Decision Support
13. Geoprocessing, Workflows, and Provenance
Jason A. Tullis, David P. Lanter, Aryabrata Basu, et al.
14. Toward Democratization of Geographic Information: GIS, Remote Sensing, and GNSS Applications in Everyday Life
Gaurav Sinha, Barry J. Kronenfeld, and Jeffrey C. Brunskill
15. Frontiers of GIScience: Evolution, State-of-Art, and Future Pathways
May Yuan
16. Object-Based Regionalization for Policy-Oriented Partitioning of Space
Stefan Lang, Stefan Kienberger, Michael Hagenlocher, et al.
Part IV: Summary and Synthesis of Volume 2
17. Remote Sensing Handbook, Volume II: Image Processing, Change Detection, GIS and Spatial Data Analysis
Prasad Thenkabail
Biography
Dr. Prasad S. Thenkabail, Senior Scientist (ST), United States Geological Survey (USGS), is a world-recognized expert in remote sensing science with major contributions in the field for nearly 40 years. He has made the list of the world’s top 1% of scientists across 22 scientific fields and 176 sub-fields. Dr. Thenkabail has conducted pioneering research in hyperspectral remote sensing of vegetation, global croplands, and their water use for food security. He obtained his PhD from the Ohio State University in 1992 and has 168 peer-reviewed publications including 15 books, including this six-volume set, and over 15 major data releases such as the Landsat-derived global cropland extent product @ 30m and Landsat-derived rainfed and irrigated cropland area product @ 30 m (LGRIP30). He was recognized as a Fellow of the American Society of Photogrammetry and Remote Sensing (ASPRS) in 2023. His scientific papers have won several awards for demonstrating world-class, highest-quality research. He was a Landsat Science Team Member (2007-2011).
