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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Remote Sensing of Protected Lands (Hardcover)
Loot Price: R5,589
Discovery Miles 55 890
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Remote Sensing of Protected Lands (Hardcover)
Series: Remote Sensing Applications Series
Expected to ship within 12 - 19 working days
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National parks, wildlife refuges and sanctuaries, natural reserves,
conservation areas, frontier lands, and marine-protected areas are
increasingly recognized as essential providers of ecosystem
services and biological resources. As debates about climate change
and sustainability intensify, protected areas become more important
as indicators of ecosystem conditions in particular environments or
in comparison with adjacent environments. The first book of its
kind, Remote Sensing of Protected Lands showcases state-of-the-art
remote sensing applications for the inventory and monitoring of
protected areas. Contributions from renowned scholars and experts
from around the world are organized into four sections covering the
use of remote sensing in: Changing landscapes and change detection
Inventory, mapping, and conservation Inventory and monitoring of
frontier lands Decision support for the management of protected
lands A View of Both the Forest and the Trees Combining reviews of
theories and methods with analysis of case studies, the book gives
readers both a systematic view of the field and detailed knowledge
of specific topics. Case studies explore key topics in the context
of a wide range of protected areas, including national parks in the
United States and Canada, the Albertine Rift in eastern Africa, the
Amazon forests, the Changbai Mountain region in Northeast Asia, the
frontier lands in Siberia and the Tibetan Plateau, and marine
protected areas along the tropical and temperate Pacific and
Atlantic coasts. Alongside each case study, the book examines
advanced remote sensing technologies such as airborne and
spaceborne high spatial resolution imageries, multispectral and
multitemporal time series data, satellite interferometric synthetic
aperture radar (InSAR), and the integration of r
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