This comprehensive six volume handbook establishes a new standard for spanning and integrating discussion of remote sensing principles, data, methods, development, and applications in a scientific and social context. Advances in remote sensing with the arrival of machine learning, cloud computing, AI, and big data from multiple new generation of sensors are taken into consideration in the new edition along with many new applications of remotely sensed data. 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.
Features
- Provides the most up to date comprehensive coverage of remote sensing science.
- Discusses and analyzes data from new sensors and new satellites.
- Includes numerous case studies on advances and applications at a global scale.
- Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI.
- Highlights scientific achievements over the last decade and provides guidance for future developments.
This set 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 these handbooks, and their extensive knowledge of new and emerging trends.
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).