Remote sensing, monitoring Earth’s environment mainly from airborne platforms and satellites, is growing rapidly. A growing number of researchers, with diverse backgrounds, use remotely sensed data. The new edition of Comprehensive Remote Sensing answers their need to find up-to-date, in-depth accounts of the many facets of this field, ranging from principles and data analysis to applications. All new development in the field are included, with a special focus on areas such as satellite missions, sensors, models, practical inversion algorithms and applications.
Besides governments, many private companies have started to launch satellites. Faster computers and cheaper data storage enable massive data processing and analysis. As such, remote sensing has become fundamental to the work of geographers, oceanographers, meteorologists, physicists, computer scientists and many others. Comprehensive Remote Sensing acknowledges such diversity with structured chapters, each including fundamental concepts and principles first, followed by extensive review of the latest developments and a complete list of references. As such it is a valuable resource to readers at different level of specialization.
Volume 1 has a special focus on satellite missions and sensors; Volume 2 includes cloud and shadow detection techniques, ARD techniques for high-resolution data and machine learning; Volumes 3-8 include advances from new inversion methods and spatio-temporal analyses revealing environmental variables under a changing climate; Volume 9 focuses on remote sensing applications as they have entered a spectacularly new era with the availability of huge high-resolution satellite and UAV observations.
Written and edited by leaders in the fields, this is a must-have resource covering the breadth and value of Remote Sensing.
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
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.
