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Environmental Geoinformatics - Extreme Hydro-Climatic and Food Security Challenges: Exploiting the Big Data (Hardcover, 2nd ed. 2019)
Loot Price: R4,630
Discovery Miles 46 300
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Environmental Geoinformatics - Extreme Hydro-Climatic and Food Security Challenges: Exploiting the Big Data (Hardcover, 2nd ed. 2019)
Series: Environmental Science
Expected to ship within 12 - 19 working days
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This second edition includes updated chapters from the first
edition as well as five additional new chapters (Light detection
and ranging (LiDAR), CORONA historical de-classified products,
Unmanned Aircraft Vehicles (UAVs), GNSS-reflectometry and GNSS
applications to climate variability), shifting the main focus from
monitoring and management to extreme hydro-climatic and food
security challenges and exploiting big data. Since the publication
of first edition, much has changed in terms of technology, and the
demand for geospatial data has increased with the advent of the big
data era. For instance, the use of laser scanning has advanced so
much that it is unavoidable in most environmental monitoring tasks,
whereas unmanned aircraft vehicles (UAVs)/drones are emerging as
efficient tools that address food security issues as well as many
other contemporary challenges. Furthermore, global navigation
satellite systems (GNSS) are now responding to challenges posed by
climate change by unravelling the impacts of teleconnection (e.g.,
ENSO) as well as advancing the use of reflected signals
(GNSS-reflectometry) to monitor, e.g., soil moisture variations.
Indeed all these rely on the explosive use of "big data" in many
fields of human endeavour. Moreover, with the ever-increasing
global population, intense pressure is being exerted on the Earth's
resources, leading to significant changes in its land cover (e.g.,
deforestation), diminishing biodiversity and natural habitats,
dwindling fresh water supplies, and changing weather and climatic
patterns (e.g., global warming, changing sea level). Environmental
monitoring techniques that provide information on these are under
scrutiny from an increasingly environmentally conscious society
that demands the efficient delivery of such information at a
minimal cost. Environmental changes vary both spatially and
temporally, thereby putting pressure on traditional methods of data
acquisition, some of which are highly labour intensive, such as
animal tracking for conservation purposes. With these challenges,
conventional monitoring techniques, particularly those that record
spatial changes call for more sophisticated approaches that deliver
the necessary information at an affordable cost. One direction
being pursued in the development of such techniques involves
environmental geoinformatics, which can act as a stand-alone method
or complement traditional methods.
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