Comprehensive Remote Sensing, Second Edition provides a thorough exploration of the remote sensing field, encompassing principles, data analysis, and applications. This edition includes all new developments, emphasizing satellite missions, sensors, models, practical inversion algorithms, and applications. The advancement of technology has enabled faster data processing and analysis, making remote sensing essential for professionals across various disciplines including geographers, oceanographers, meteorologists, physicists, and computer scientists. This book offers structured chapters that start with fundamental concepts, followed by reviews of the latest advancements and extensive references.
Volume One focuses on satellite missions and sensors, while Volume Two covers cloud and shadow detection techniques, ARD techniques for high-resolution data, and machine learning. Volumes 3-8 delve into new inversion methods and spatio-temporal analyses revealing environmental variables under a changing climate. Volume Nine centers on remote sensing applications, highlighting the impact of high-resolution satellite and UAV observations. Edited by leaders in the field, this comprehensive resource is invaluable for readers at various levels of specialization.
Volume One focuses on satellite missions and sensors, while Volume Two covers cloud and shadow detection techniques, ARD techniques for high-resolution data, and machine learning. Volumes 3-8 delve into new inversion methods and spatio-temporal analyses revealing environmental variables under a changing climate. Volume Nine centers on remote sensing applications, highlighting the impact of high-resolution satellite and UAV observations. Edited by leaders in the field, this comprehensive resource is invaluable for readers at various levels of specialization.
Table of Contents
1. Remote sensing missions and sensorsMajor 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. Remote sensing of terrestrial ecosystem
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
