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The Siberian environment is a unique region of the world that is
both very strongly affected by global climate change and at the
same time particularly vulnerable to its consequences. The news
about the melting of sea ice in the Arctic Ocean and the prospect
of an ice-free shipping passage from Scandinavia to Alaska along
the Russian north coast has sparked an international debate about
natural resource exploitation, national boundaries and the impacts
of the rapid changes on people, animals and plants. Over the last
decades Siberia has also witnessed severe forest fires to an extent
that is hard to imagine in other parts of the world where the po-
lation density is higher, the fire-prone ecosystems cover much
smaller areas and the systems of fire control are better resourced.
The acceleration of the fire regime poses the question of the
future of the boreal forest in the taiga region. Vegetation models
have already predicted a shift of vegetation zones to the north
under s- narios of global climate change. The implications of a
large-scale expansion of the grassland steppe ecosystems in the
south of Siberia and a retreat of the taiga forest into the tundra
systems that expand towards the Arctic Ocean would be very signi-
cant for the local population and the economy. I have studied
Russian forests from remote sensing and modelling for about 11
years now and still find it a fascinating subject to investigate.
The Siberian environment is a unique region of the world that is
both very strongly affected by global climate change and at the
same time particularly vulnerable to its consequences. The news
about the melting of sea ice in the Arctic Ocean and the prospect
of an ice-free shipping passage from Scandinavia to Alaska along
the Russian north coast has sparked an international debate about
natural resource exploitation, national boundaries and the impacts
of the rapid changes on people, animals and plants. Over the last
decades Siberia has also witnessed severe forest fires to an extent
that is hard to imagine in other parts of the world where the po-
lation density is higher, the fire-prone ecosystems cover much
smaller areas and the systems of fire control are better resourced.
The acceleration of the fire regime poses the question of the
future of the boreal forest in the taiga region. Vegetation models
have already predicted a shift of vegetation zones to the north
under s- narios of global climate change. The implications of a
large-scale expansion of the grassland steppe ecosystems in the
south of Siberia and a retreat of the taiga forest into the tundra
systems that expand towards the Arctic Ocean would be very signi-
cant for the local population and the economy. I have studied
Russian forests from remote sensing and modelling for about 11
years now and still find it a fascinating subject to investigate.
Hyperspectral Remote Sensing: Theory and Applications offers the
latest information on the techniques, advances and wide-ranging
applications of hyperspectral remote sensing, such as forestry,
agriculture, water resources, soil and geology, among others. The
book also presents hyperspectral data integration with other
sources, such as LiDAR, Multi-spectral data, and other remote
sensing techniques. Researchers who use this resource will be able
to understand and implement the technology and data in their
respective fields. As such, it is a valuable reference for
researchers and data analysts in remote sensing and Earth
Observation fields and those in ecology, agriculture, hydrology and
geology.
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