2nd Edition

Remote Sensing Handbook, Volume II Image Processing, Change Detection, GIS, and Spatial Data Analysis

Edited By Prasad S. Thenkabail Copyright 2025
    552 Pages 181 Color & 35 B/W Illustrations
    by CRC Press

    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.


    • 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


    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).