Comprehensive Remote Sensing-
Elsevier (Publisher)
2nd Edition
Published on 30. October 2025
Book
3326 pages
978-0-443-13220-9 (ISBN)
Description
Remote sensing, which involves monitoring Earth's environment from airborne platforms and satellites, is rapidly advancing. Researchers from diverse backgrounds increasingly use remotely sensed data. The new edition of "Comprehensive Remote Sensing" meets their need for up-to-date, in-depth information on various aspects of the field, from principles and data analysis to applications. Containing over 100 chapters from world experts in the field, this edition includes all recent developments, with a focus on satellite missions, sensors, models, practical inversion algorithms, high-level products and applications.
In addition to governments, many private companies are launching satellites. Advances in computing power and data storage have enabled massive data processing and analysis. Consequently, remote sensing has become essential for geographers, oceanographers, meteorologists, physicists, computer scientists, and others. "Comprehensive Remote Sensing" addresses this diversity with structured chapters that begin with fundamental concepts and principles, followed by reviews of the latest developments and a comprehensive list of references. It is a valuable resource for readers at various levels of specialization.
Volume 1 focuses on satellite missions and sensors. Volume 2 covers various data processing techniques, including cloud and shadow detection, analysis-ready data (ARD) techniques for high-resolution data, and machine learning methods. Volumes 3-8 discuss advances in new inversion methods and high-level satellite products that characterize the spatio-temporal variations in essential environmental variables under a changing climate. Volume 9 highlights remote sensing applications, which have entered a new era with the availability of vast high-resolution satellite and UAV observations.
In addition to governments, many private companies are launching satellites. Advances in computing power and data storage have enabled massive data processing and analysis. Consequently, remote sensing has become essential for geographers, oceanographers, meteorologists, physicists, computer scientists, and others. "Comprehensive Remote Sensing" addresses this diversity with structured chapters that begin with fundamental concepts and principles, followed by reviews of the latest developments and a comprehensive list of references. It is a valuable resource for readers at various levels of specialization.
Volume 1 focuses on satellite missions and sensors. Volume 2 covers various data processing techniques, including cloud and shadow detection, analysis-ready data (ARD) techniques for high-resolution data, and machine learning methods. Volumes 3-8 discuss advances in new inversion methods and high-level satellite products that characterize the spatio-temporal variations in essential environmental variables under a changing climate. Volume 9 highlights remote sensing applications, which have entered a new era with the availability of vast high-resolution satellite and UAV observations.
More details
Edition
2nd edition
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Dimensions
Height: 276 mm
Width: 216 mm
Weight
450 gr
ISBN-13
978-0-443-13220-9 (9780443132209)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Previous edition
Person
Dr. Liang received his Ph.D. from Boston University in 1993. He is a Chair Professor in the Department of Geography at the University of Hong Kong. He has published over 490 SCI journal papers, 43 book chapters, and ten special issues of various journals. He has authored/edited eight books, five of which have been translated into Chinese. Dr. Liang is a Fellow of the IEEE and AAAS, and a Global STEM Professor. He serves as an Editor-in-Chief of the Science of Remote Sensing journal.
Dr. Liang led the development of the Global LAnd Surface Satellite (GLASS) products, freely available at awww.glass.hku.hk and www.geodata.cn. He is also leading to develop the high-resolution (30 m) version of GLASS (Hi-GLASS) products. His Google Scholar H-index is 107, with over 46,000 citations. Clarivate recognizes him as a Highly Cited Researcher, placing him among the top 0.1% of scientists globally.
Dr. Liang led the development of the Global LAnd Surface Satellite (GLASS) products, freely available at awww.glass.hku.hk and www.geodata.cn. He is also leading to develop the high-resolution (30 m) version of GLASS (Hi-GLASS) products. His Google Scholar H-index is 107, with over 46,000 citations. Clarivate recognizes him as a Highly Cited Researcher, placing him among the top 0.1% of scientists globally.
Content
1. Remote sensing missions and sensors
Major satellite programs and associated sensors: EOS; Landsat , SPOT; JPSS program, other national space programs (JAXA, China, India, etc.)
2. Remote sensing data processing and analysis methodology
Geometric processing; radiometric processing; data fusion, image classification, data assimilation
3. Quantitative remote sensing of vegetation
Vegetation index, Biochemical properties, Vegetation structural information (tree high, etc.), LAI, FAPAR, fractional vegetation, biomass, gross/net primary, productivity, phenology
4. Remote sensing of hydrological cycle
Precipitation, evapotranspiration, soil moisture, snow water equivalent, surface and underground water storage
5. Remote sensing of Earth energy budget
TOA net radiation (albedo, outgoing radiation), surface net radiation (incident shortwave radiation, albedo, downward and upwelling longwave radiation), land surface temperature and emissivity, SST, surface sensible heat flux
6. Remote Sensing of land surface type change
Land cover mapping, plant functional types, land use change detection (afforestation/reforestation/deforestation, urban expansion and urban heat island, crop distribution, irrigation), invasive species, surface water, wetland, fire burned area, hazardous mapping (drought, flooring, landslides, etc.), snow cover, frozen/shaw, surface topography
7. Atmospheric remote sensing
Atmospheric profiles (temperature, water vapor), aerosols, clouds, ozone, carbon, wind
8. Oceanic remote sensing
Ocean color, acoustic tomography, surface topography, salinity, wind and velocity, sea level, sea ice, Coastal Environment
9. Remote sensing applications
Various applications in Earth system science and societal benefit areas, such as agriculture, biodiversity, climate, disasters, ecosystems, energy, health, water, and weather
Major satellite programs and associated sensors: EOS; Landsat , SPOT; JPSS program, other national space programs (JAXA, China, India, etc.)
2. Remote sensing data processing and analysis methodology
Geometric processing; radiometric processing; data fusion, image classification, data assimilation
3. Quantitative remote sensing of vegetation
Vegetation index, Biochemical properties, Vegetation structural information (tree high, etc.), LAI, FAPAR, fractional vegetation, biomass, gross/net primary, productivity, phenology
4. Remote sensing of hydrological cycle
Precipitation, evapotranspiration, soil moisture, snow water equivalent, surface and underground water storage
5. Remote sensing of Earth energy budget
TOA net radiation (albedo, outgoing radiation), surface net radiation (incident shortwave radiation, albedo, downward and upwelling longwave radiation), land surface temperature and emissivity, SST, surface sensible heat flux
6. Remote Sensing of land surface type change
Land cover mapping, plant functional types, land use change detection (afforestation/reforestation/deforestation, urban expansion and urban heat island, crop distribution, irrigation), invasive species, surface water, wetland, fire burned area, hazardous mapping (drought, flooring, landslides, etc.), snow cover, frozen/shaw, surface topography
7. Atmospheric remote sensing
Atmospheric profiles (temperature, water vapor), aerosols, clouds, ozone, carbon, wind
8. Oceanic remote sensing
Ocean color, acoustic tomography, surface topography, salinity, wind and velocity, sea level, sea ice, Coastal Environment
9. Remote sensing applications
Various applications in Earth system science and societal benefit areas, such as agriculture, biodiversity, climate, disasters, ecosystems, energy, health, water, and weather