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.

Table of Contents:
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 Africa’s 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.