Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Exploring the Earth System with Imaging Spectroscopy (Paperback, 1st ed. 2019)
Loot Price: R2,466
Discovery Miles 24 660
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Exploring the Earth System with Imaging Spectroscopy (Paperback, 1st ed. 2019)
Series: Space Sciences Series of ISSI, 70
Expected to ship within 12 - 17 working days
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Total price: R2,486
Discovery Miles: 24 860
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This volume presents a broad overview of the requirements,
capabilities, challenges and future directions of spaceborne
imaging spectroscopy to explore the Earth's surface for a range of
application domains. These include mine exploration, soil mapping,
vegetation monitoring, mapping of pollution and hazardous
materials, inland and coastal water monitoring, urban applications
and others. Imaging spectroscopy, also often termed hyperspectral
remote sensing, for terrestrial Earth observation dates back to the
1980s, when the first spectrometers observing in the visible to
shortwave infrared wavelength range were deployed on airborne
platforms. From the end of the 1990s onwards, spaceborne
hyperspectral missions have demonstrated the capability to provide
information on the composition and biochemical and physical
characteristics of the Earth's surface. Today, several
hyperspectral spaceborne missions are under development to be
launched within the next few years. It can be expected that future
global and frequent coverage of the Earth's surface with spaceborne
imaging spectroscopy data will bring a major advance in the
information depth that future Earth system models and monitoring
service developments can be based on. Previously published in
Surveys in Geophysics, Volume 40, Issue 3, 2019 The chapters
"Imaging Spectrometry of Inland and Coastal Waters: State of the
Art, Achievements and Perspectives", "Imaging Spectroscopy for the
Detection, Assessment and Monitoring of Natural and Anthropogenic
Hazards", "Assessing Vegetation Function with Imaging
Spectroscopy", "Spaceborne Imaging Spectroscopy for Sustainable
Agriculture: Contributions and Challenges" are available as open
access articles under a CC BY 4.0 license at link.springer.com.
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