Remote Sensing Handbook, Second Edition, Six Volume Set

VolumeI  

Part I: Earth Observing Satellites and Sensors from Different Eras and their Characteristics 

1. Remote Sensing Satellites and Sensors: Optical, Radar, LiDAR, Microwave, Hyperspectral, and UAVs 

Sudhanshu S. Panda, Mahesh N. Rao, Prasad S. Thenkabail, et al. 

 Part II: Global Navigation Satellite Systems (GNSS) and their Characteristics 

2. Global Navigation Satellite Systems Theory and Practice:  Evolution, State of Art, and Future Pathways 

Mohinder S. Grewal 

 3. Global Navigation Satellite System Reflectometry for Ocean and Land Applications 

Kegen Yu, Chris Rizos, and Andrew Dempster 

 4. Global Navigation Satellite Systems (GNSS) for a Wide Array of Terrestrial Applications 

D. Myszor, O. Antemijczuk, M. Grygierek, et al. 

 Part III: Fundamentals of Remote Sensing: Evolution, State-of-Art, and Future Possibilities 

5. Fundamentals of Remote Sensing for Terrestrial Applications: Evolution, Current State of Art, and Future Possibilities 

Natascha Oppelt and Arnab Muhuri 

 Part IV: Data Normalization, Harmonization, and Inter-Sensor Calibration 

6. Overview of Satellite Image Radiometry in the Solar-Reflective Optical Domain 

Philippe M. Teillet 

 7. Post-Launch Radiometric Calibration of Satellite-Based Optical Sensors with Emphasis on Terrestrial Reference Standard Sites 

Philippe M. Teillet and Gyanesh Chander 

 8. Remote Sensing Data Normalization 

Rudiger Gens and Jordi Cristóbal Rosselló 

 9. Satellite Data Degradations and their Impacts on High Level Products 

Aolin Jia and Dongdong Wang 

 Part V: Vegetation Index Standardization and Cross Calibration of Data from Multiple Sensors 

10. Inter- and Intra-sensor Spectral Compatibility and Calibration of the Enhanced Vegetation Indices Tomoaki Miura, Kenta Obata, Hiroki Yoshioka,et al. 

11. Towards Standardisation of Vegetation Indices 

Michael D. Steven, Timothy J. Malthus and Frédéric Baret 

 Part VI: Crowdsourcing of Remote Sensing Data 

12. Crowdsourcing and Remote Sensing: Combining Two Views of the Earth 

Fabio Dell’Acqua and Silvio Dell’Acqua 

 Part VII: Cloud Computing and Remote Sensing 

13. Processing Remote Sensing Data in Cloud Computing Environments 

Ramanathan Sugumaran, James W. Hegeman, Vivek B. Sardeshmukh, et al. 

 14. Cloud Computing in Remote Sensing: A Comprehensive Assessment of State of Arts 

Lizhe Wang, Jining Yan, Yan Ma, et al. 

 Part VIII: Google Earth for Remote Sensing 

15. The Legacy of Google Earth in Remote Sensing 

John E. Bailey and Josh Williams 

Part IX: Accuracies, Errors, and Uncertainties of Remote Sensing Derived Products 

16. Assessing Positional and Thematic Accuracies of Maps Generated from Remotely Sensed Data 

Russell G. Congalton 

 Part X: Remote Sensing Law 

17. Remote Sensing Law: An Overview of its Development and its Trajectory in the Global Context 

P.J. Blount 

 Part XI: Summary and Synthesis of Volume I 

18. Remote Sensing Handbook, Volume I: Sensors, Data Normalization, Harmonization, Cloud Computing, and Accuracies 

Prasad S. Thenkabail 

Volume II 

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 

Volume III 

Part I: Vegetation and Biomass 

 1. Measuring Photosynthesis Productivity from Space 

Alfredo Huete, Guillermo Ponce-Campos, Yongguang Zhang, et al. 

 2. Remote Sensing of Solar-Induced Chlorophyll Fluorescence 

Juan Quiros-Vargas, Bastian Siegmann, Juliane Bendig,et al. 

 3. Canopy Biophysical Variables Retrieval from the Inversion of Reflectance Models 

Frédéric Baret 

 4. Agricultural Crop Biophysical and Biochemical Quantity Retrievals using Remote Sensing with Multi-Sensor 

Lea Hallik, Egidijus Šarauskis, Ruchita Ingle,et al. 

 5. Agriculture 

Clement Atzberger and Markus Immitzer 

 Part II: Agricultural Croplands 

 6. Agricultural Systems Studies using Remote Sensing 

Agnès Bégué, Damien Arvor, Camille Lelong, et al. 

 7. Global Food Security Support Analysis Data (GFSAD) at Nominal 1-km derived from Remote Sensing in Support of Food Security in the Twenty-first Century: Current Achievements and Future Possibilities 

Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Jun Xiong,et al.  

 8. Remote Sensing for Precision Agriculture     

Yuxin Miao, David J. Mulla, and Yanbo Huang 

 9. Remote Sensing of Tillage Status 

Baojuan Zheng, James B. Campbell, Guy Serbin, et al. 

 Part III: Rangelands 

 10. Hyperspectral Remote Sensing for Terrestrial Applications 

Prasad S. Thenkabail, Itiya Aneece, Pardhasaradhi Teluguntla, et al. 

 11. A Global View of Remote Sensing of Rangelands: Evolution, Applications, Future Pathways 

Matthew C. Reeves, Robert Washington-Allen, Jay Angerer, et al. 

 12. Remote Sensing of Rangeland Biodiversity 

E. Raymond Hunt Jr, Cuizhen Wang, D. Terrance Booth, et al. 

 Part IV: Phenology and Food Security 

 13. Characterization, Mapping, and Monitoring of Rangelands: Methods and Approaches 

Lalit Kumar, Priyakant Sinha, Jesslyn F Brown, et al. 

 Part V: Soils 

 14. Global Land Surface Phenology and Implications for Food Security 

Molly E Brown, Kirsten de Beurs, and Kathryn Grace 

 15. Spectral Sensing from Ground to Space in Soil Science: State of the Art, Applications, Potential and Perspectives 

José A. M. Demattê, Cristine L. S. Morgan, Sabine Chabrillat, et al. 

 16. Remote Sensing of Soil in the Optical Domains 

Eyal Ben-Dor and José Alexandre M. Demattê 

 Part VI: Summary and Synthesis for Volume III 

 17. Remote Sensing Handbook, Vol III: Agriculture, Food Security, Rangelands, Vegetation, Phenology, and Soils 

Prasad Thenkabail 

Volume IV  

Part I: Forests 

1. Characterizing Tropical Forests with Multispectral Imagery 

E. H. Helmer, Nicholas R. Goodwin, Valéry Gond, et al. 

 2. Remote Sensing of Forests from Lidar and Radar 

Juha Hyyppä, Xiaowei Yu, Mika Karjalainen, et al. 

 3. Forest Biophysical and Biochemical Properties from Hyperspectral and LiDAR Remote Sensing 

Gregory P. Asner, Susan L. Ustin, Philip A. Townsend, et al. 

 4. Optical Remote Sensing of Tree and Stand Heights 

Sylvie Durrieu, Cédric Véga, Marc Bouvier, et al. 

 Part II: Biodiversity 

 5. Biodiversity of the World: A Study from Space 

Thomas W. Gillespie, Morgan Rogers, Chelsea Robinson, et al. 

 6. Multi-scale Habitat Mapping and Monitoring using Satellite Data and Advanced Image Analysis Techniques 

Stefan Lang, Christina Corbane, Palma Blonda, et al. 

 Part III: Ecology 

 7. Ecological Characterization of Vegetation Using Multi-Sensor Remote Sensing in the Solar Reflective Spectrum 

Conghe Song, Jing Ming Chen, Taehee Hwang, et al. 

Part IV: Land Use/Land Cover 

 8. Land Cover Change Detection 

John Rogan and Nathan Mietkiewicz 

 9.  Land Use and Land Cover Mapping and Monitoring with Radar Remote Sensing 

Zhixin Qi, Anthony Gar-On Yeh, Xia Li, et al.  

 Part V: Carbon 

 10. Global Carbon Budgets and the Role of Remote Sensing 

Richard A. Houghton 

 11. Above-ground Terrestrial Biomass and Carbon Stock Estimations from Multi-sensor Remote Sensing 

Wenge Ni-Meister 

 Part VI: Summary and Synthesis of Volume IV 

 12. Remote Sensing Handbook, Volume IV: Forests, Biodiversity, Ecology, LULC and Carbon 

Prasad Thenkabail 

Volume V  

Part I: Geomorphology 

 1. Geomorphological Studies from Remote Sensing 

James B. Campbell and Lynn M. Resler 

 Part II: Hydrology and Water Resources 

 2. Remote Sensing Technologies for Multi-scale Hydrological Studies: Advances and Perspectives 

Sadiq I. Khan, Ni-Bin Chang, Yang Hong, et al.  

 3. Groundwater Targeting Using Remote Sensing 

Santhosh Kumar Seelan 

 Part III: Floods 

 4. Flood Monitoring using the Integration of Remote Sensing and Complementary Techniques 

Allan S. Arnesen, Frederico T. Genofre, Marcelo P. Curtarelli, et al. 

 5. Flood Studies using Synthetic Aperture Radar Data 

Sandro Martinis, Claudia Kuenzer, and André Twele 

 6. Remote Sensing of Mangrove Forests 

Le Wang, Jing Miao, and Ying Lu 

 Part IV: Wetlands 

 7. Remote Sensing of Mangrove Wetlands 

Chandra Giri 

 8. Wetland Mapping Methods and Techniques Using Multi-Sensor, Multi-Resolution Remote Sensing: Successes and Challenges 

D. R. Mishra, X. Yan, S. Ghosh, et al. 

 9. Inland Valley Wetland Cultivation and Preservation for Africa’s Green and Blue Revolution using Multi-Sensor Remote Sensing 

Murali Krishna Gumma, Prasad S. Thenkabail, Pranay Panjala, et al.  

 Part V: Water Use and Water Productivity 

 10. Remote Sensing of Evapotranspiration from Croplands 

Trent W. Biggs, Pamela L. Nagler, Anderson Ruhoff, et al.  

 11. Modeling and Monitoring Water Productivity by Using Geotechnologies:  Assessments in some Brazilian Agroecosystems 

Antônio Teixeira, Janice Leivas; Celina Takemura, et al.  

 Part VI: Snow and Ice 

 12. Remote Sensing Mapping and Modeling of Snow Cover Parameters and Applications 

Hongjie Xie, Tiangang Liang, Xianwei Wang, et al.  

Part VII: Summary and Synthesis for Volume V 

 13. Remote Sensing Handbook, Volume V: Water Resources, Hydrology, Floods, Snow and Ice, Wetlands, and Water Productivity 

Prasad S. Thenkabail 

Volume VI:

Part I: Droughts and Drylands 

1. Drought Monitoring Using Vegetation Health Indices 

Felix Kogan and Wei Guo 

2. Studies using Space-derived Vegetation and Biophysical Products: A Global Perspective 

F. Rembold, M. Meroni, O. Rojas, et al. 

3. Remote Sensing of Drought: Satellite-Based Monitoring Tools for the United States 

Brian D. Wardlow, Martha A. Anderson, Tsegaye Tadesse, et al. 

4. Regional Drought Monitoring Based on Multi-Sensor Remote Sensing 

Jinyoung Rhee, Jungho Im, and Seonyoung Park 

5. Land Degradation Assessment and Monitoring of Drylands 

Marion Stellmes, Ruth Sonnenschein, Achim Röder, et al.  

Part II: Disasters 

6. Disasters: Risk Assessment, Management and Post-Disaster Studies Using Remote Sensing 

Norman Kerle 

7. Humanitarian Emergencies: Causes, Traits and Impacts as Observed by Remote Sensing 

Stefan Lang, Petra Füreder, Olaf Kranz, et al. 

Part III: Volcanoes 

8. Remote Sensing of Volcanoes 

Robert Wright 

Part IV: Fires 

9. Satellite-derived Nitrogen Dioxide Variations from Biomass Burning in a Subtropical Evergreen Forest, Northeast India 

Krishna Prasad Vadrevu and Kristofer Lasko 

10. Remote Sensing-Based Mapping and Monitoring of Coal Fires 

Anupma Prakash, Claudia Kuenzer, Santosh K. Panda, et al.  

Part V: Urban 

11. Urban Growth and Climatic Mapping of Mega Cities: Multi-Sensor Approach 

Hasi Bagana, Chaomin Chen, and Yoshiki Yamagata 

12. High-Resolution Remote Sensing and Visibility Analysis Method for Smart Environment Design 

Yoshiki Yamagata, Daisuke Murakami, Hajime Seya, et al. 

Part VI: Nightlights 

13. Nighttime Light Remote Sensing -- Monitoring Human Societies from Outer Space 

Qingling Zhang, Noam Levin, Christos Chalkias, et al.  

Part VII: Summary and Synthesis for Volume VI 

14. Remote Sensing Handbook, Volume VI: Droughts, Disasters, Pollution, and Urban Mapping 

Prasad S. 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).

The chapters in Remote Sensing Handbook are written by leading remote sensing scientists of the world and ably edited by Prasad S. Thenkabail, Senior Scientist, at U.S. Geological Survey (USGS) in Flagstaff, Arizona.  The importance and the value of the Remote Sensing Handbook is clearly demonstrated by the need for a second edition. The Remote Sensing Handbook (First Edition, Volumes I-III) was published in 2014 and now after 10 years Remote Sensing Handbook, Second Edition, (Volumes I-VI) with 91 Chapters and nearly 3500 pages will be published.  It is certainly monumental work in remote sensing science and for this I want to compliment Dr. Prasad Thenkabail. Remote sensing is now important to a large number of scientific disciplines beyond our community, and I recommend the Remote Sensing Handbook, Second Edition, Six Volume Set, to not only remote sensers but to the entire scientific community.

Dr. Compton Jim Tucker, Senior Scientist, Hydrospheric and Biospheric Laboratory, NASA Goddard Space Flight Center (GSFC), USA

 

It is not often that a Remote Sensing ‘Handbook’ containing rich and diverse contributions from some of the best researchers worldwide is compiled and published. So please take note that The Remote Sensing Handbook, Second Edition, edited by Dr Prasad S. Thenkabail has landed. This book contains everything you need to know to become a remote sensing scientist. The principles, the different wavelengths, the considerations to take into account for cloud processing, calibration and validation considerations and all the domain application areas you can possibly consider; some of which I was not even aware of, are all in there. Chapters of the book delve into topics such as space law and data for policy applications. Thank you to the authors for their contributions and commitment to ensure that this book becomes a very useful resource for researchers and students as the subject of Remote Sensing moves ahead with great pace into the 2nd quarter of the 21st Century.

Prof. Kevin J. Tansey, Editor-in-Chief, International Journal of Remote Sensing and Professor of Remote Sensing, University of Leicester, UK

 

This six-volume, Second Edition of the Remote Sensing Handbook provides a collection of chapters covering the gamut of remote sensing topics and applications. The chapters are written by many well-known members of the international remote sensing community, offering diverse perspectives on this rapidly developing discipline. The Handbook will be useful for students and practitioners alike. This compilation is a major undertaking and I congratulate Dr. Prasad Thenkabail on its completion.

Prof. Chris Justice, University of Maryland College Park, USA

 

Dr. Thenkabail and his colleagues do a brilliant job of condensing nearly 60 years of research and developments in remote sensing into a six-volume compendium. Interested in remote sensing, invest in this handbook!

Dr. Ramakrishna Nemani, Senior Earth scientist with the Advanced Supercomputing division at NASA Ames Research Center (retired), and Chief Developed of NASA Earth Exchange (NEX) platform

 

The second edition of the Remote Sensing Handbook is an impressive collection of 91 chapters in 6 volumes written by some of the best known and most active remote sensing scientists of our time. It is a vast expansion from its first edition of 3 volumes in 2015 and comprehensively covers all the major fields of remote sensing science, including sensors, image processing, information retrieval and a wide range of applications to ecology, agriculture, forestry, urban environment, water resources, climate change, etc. It allows students, scientists, professionals and practitioners to catch up with the rapid development in remote sensing technology, methodology and applications over the past decade. Dr. Prasad S. Thenkabail, a world-renowned remote sensing scientist, is highly commended for undertaking the daunting task of formulating and editing this large collection as the sole editor-in-chief. His 40-year experience in various remote sensing fields makes him well suited for this task.

Dr. Jing M. Chen, Editors-in-Chief of Remote Sensing of Environment, Professor, CRC, FRSC, University of Toronto, Canada