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.
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. Thoroughly revised, this set draws on the expertise of an array of leading international authorities in remote sensing.
Arvustused
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
Volume I - 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. 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.
3. Global Navigation Satellite System Reflectometry for
Ocean and Land Applications.
4. Global Navigation Satellite Systems (GNSS)
for a Wide Array of Terrestrial Applications. 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. Part IV: Data Normalization,
Harmonization, and Inter-Sensor Calibration.
6. Overview of Satellite Image
Radiometry in the Solar-Reflective Optical Domain.
7. Post-Launch Radiometric
Calibration of Satellite-Based Optical Sensors with Emphasis on Terrestrial
Reference Standard Sites.
8. Remote Sensing Data Normalization.
9. Satellite
Data Degradations and their Impacts on High Level Products. 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.
11. Towards Standardisation of Vegetation
Indices. Part VI: Crowdsourcing of Remote Sensing Data.
12. Crowdsourcing and
Remote Sensing: Combining Two Views of the Earth. Part VII: Cloud Computing
and Remote Sensing.
13. Processing Remote Sensing Data in Cloud Computing
Environments.
14. Cloud Computing in Remote Sensing: A Comprehensive
Assessment of State of Arts. Part VIII: Google Earth for Remote Sensing.
15.
The Legacy of Google Earth in Remote Sensing. Part IX: Accuracies, Errors,
and Uncertainties of Remote Sensing Derived Products.
16. Assessing
Positional and Thematic Accuracies of Maps Generated from Remotely Sensed
Data. Part X: Remote Sensing Law.
17. Remote Sensing Law: An Overview of its
Development and its Trajectory in the Global Context. Part XI: Summary and
Synthesis of Volume I.
18. Remote Sensing Handbook, Volume I: Sensors, Data
Normalization, Harmonization, Cloud Computing, and Accuracies.
Volume II - Part I: Image Processing Methods and Approaches.
1. Digital Image
Processing: A Review of the Fundamental Methods and Techniques.
2. Image
Classification Methods in Land Cover and Land Use and Cropland Studies.
3.
Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis,
Object-based Image Analysis, and Geospatial Methods.
4. Hyperspectral Image
Processing: Methods and Approaches.
5. Collaborative Representation for
Hyperspectral Image Classification and Detection.
6. Thermal Infrared Remote
Sensing: Principles and Theoretical Background.
7. Remote Sensing Image
Segmentation: Methods, Approaches, and Advances.
8. Object Based Image
Analysis: Evolution, History, State-of-the-Art and Future Vision.
9.
Geospatial Data Integration in OBIA- implications of Accuracy and Validity.
10. Image Segmentation Algorithms for Land Categorization.
11. LiDAR Data
Processing and Applications. Part II: Change Detection.
12. Forest
Clear-Cutting Detection in Subtropical Regions with Time Series Remotely
Sensed Data. Part III: Integrating Geographic Information Systems (GIS) and
Remote Sensing in Spatial Modeling Framework for Decision Support.
13.
Geoprocessing, Workflows, and Provenance.
14. Toward Democratization of
Geographic Information: GIS, Remote Sensing, and GNSS Applications in
Everyday Life.
15. Frontiers of GIScience: Evolution, State-of-Art, and
Future Pathways.
16. Object-Based Regionalization for Policy-Oriented
Partitioning of Space. Part IV: Summary and Synthesis of Volume II.
17.
Remote Sensing Handbook, Volume II: Image Processing, Change Detection, GIS
and Spatial Data Analysis.
Volume III - Part I: Vegetation and Biomass.
1. Measuring Photosynthesis
Productivity from Space.
2. Remote Sensing of Solar-Induced Chlorophyll
Fluorescence.
3. Canopy Biophysical Variables Retrieval from the Inversion of
Reflectance Models.
4. Agricultural Crop Biophysical and Biochemical Quantity
Retrievals using Remote Sensing with Multi-Sensor.
5. Agriculture. Part II:
Agricultural Croplands.
6. Agricultural Systems Studies using Remote Sensing.
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.
8. Remote Sensing for
Precision Agriculture.
9. Remote Sensing of Tillage Status. Part III:
Rangelands.
10. Hyperspectral Remote Sensing for Terrestrial Applications.
11. A Global View of Remote Sensing of Rangelands: Evolution, Applications,
Future Pathways.
12. Remote Sensing of Rangeland Biodiversity. Part IV:
Phenology and Food Security.
13. Characterization, Mapping, and Monitoring of
Rangelands: Methods and Approaches. Part V: Soils.
14. Global Land Surface
Phenology and Implications for Food Security.
15. Spectral Sensing from
Ground to Space in Soil Science: State of the Art, Applications, Potential
and Perspectives.
16. Remote Sensing of Soil in the Optical Domains. Part VI:
Summary and Synthesis for Volume III.
17. Remote Sensing Handbook, Vol III:
Agriculture, Food Security, Rangelands, Vegetation, Phenology, and Soils.
Volume IV - Part I: Forests.
1. Characterizing Tropical Forests with
Multispectral Imagery.
2. Remote Sensing of Forests from Lidar and Radar.
3.
Forest Biophysical and Biochemical Properties from Hyperspectral and LiDAR
Remote Sensing.
4. Optical Remote Sensing of Tree and Stand Heights. Part II:
Biodiversity.
5. Biodiversity of the World: A Study from Space.
6.
Multi-scale Habitat Mapping and Monitoring using Satellite Data and Advanced
Image Analysis Techniques. Part III: Ecology.
7. Ecological Characterization
of Vegetation Using Multi-Sensor Remote Sensing in the Solar Reflective
Spectrum. Part IV: Land Use/Land Cover.
8. Land Cover Change Detection.
9.
Land Use and Land Cover Mapping and Monitoring wirh Radar Remote Sensing. V:
Carbon.
10. Global Carbon Budgets and the Role of Remote Sensing.
11.
Above-ground Terrestrial Biomass and Carbon Stock Estimations from
Multi-sensor Remote Sensing. Part VI: Summary and Synthesis of Volume IV.
12.
Remote Sensing Handbook, Volume IV: Forests, Biodiversity, Ecology, LULC and
Carbon.
Volume V - Part I: Geomorphology.
1. Geomorphological Studies from Remote
Sensing. Part II: Hydrology and Water Resources.
2. Remote Sensing
Technologies for Multi-scale Hydrological Studies: Advances and Perspectives.
3. Groundwater Targeting Using Remote Sensing. Part III: Floods.
4. Flood
Monitoring using the Integration of Remote Sensing and Complementary
Techniques.
5. Flood Studies using Synthetic Aperture Radar Data.
6. Remote
Sensing of Mangrove Forests. Part IV: Wetlands.
7. Remote Sensing of Mangrove
Wetlands.
8. Wetland Mapping Methods and Techniques Using Multi-Sensor,
Multi-Resolution Remote Sensing: Successes and Challenges.
9. Inland Valley
Wetland Cultivation and Preservation for Africas Green and Blue Revolution
using Multi-Sensor Remote Sensing. Part V: Water Use and Water Productivity.
10. Remote Sensing of Evapotranspiration from Croplands.
11. Modeling and
Monitoring Water Productivity by Using Geotechnologies: Assessments in some
Brazilian Agroecosystems. Part VI: Snow and Ice.
12. Remote Sensing Mapping
and Modeling of Snow Cover Parameters and Applications. 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.
Volume VI - Part I: Droughts and Drylands.
1. Drought Monitoring Using
Vegetation Health Indices.
2. Studies using Space-derived Vegetation and
Biophysical Products: A Global Perspective.
3. Remote Sensing of Drought:
Satellite-Based Monitoring Tools for the United States.
4. Regional Drought
Monitoring Based on Multi-Sensor Remote Sensing.
5. Land Degradation
Assessment and Monitoring of Drylands. Part II: Disasters.
6. Disasters: Risk
Assessment, Management and Post-Disaster Studies Using Remote Sensing.
7.
Humanitarian Emergencies: Causes, Traits and Impacts as Observed by Remote
Sensing. Part III: Volcanoes.
8. Remote Sensing of Volcanoes. Part IV: Fires.
9. Satellite-derived Nitrogen Dioxide Variations from Biomass Burning in a
Subtropical Evergreen Forest, Northeast India.
10. Remote Sensing-Based
Mapping and Monitoring of Coal Fires. Part V: Urban.
11. Urban Growth and
Climatic Mapping of Mega Cities: Multi-Sensor Approach.
12. High-Resolution
Remote Sensing and Visibility Analysis Method for Smart Environment Design.
Part VI: Nightlights.
13. Nighttime Light Remote Sensing -- Monitoring Human
Societies from Outer Space. Part VII: Summary and Synthesis for Volume VI.
14. Remote Sensing Handbook, Volume VI: Droughts, Disasters, Pollution, and
Urban Mapping.
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 worlds 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).
