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Spatial Analysis for Radar Remote Sensing of Tropical Forests (Hardcover)
Loot Price: R3,925
Discovery Miles 39 250
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Spatial Analysis for Radar Remote Sensing of Tropical Forests (Hardcover)
Series: SAR Remote Sensing
Expected to ship within 12 - 17 working days
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Spatial Analysis for Radar Remote Sensing of Tropical Forests is
based on the authors' extensive involvement in Synthetic Aperture
Radar (SAR) mapping projects, targeting the health of an earth
ecosystem with great relevance for climate change studies: the
tropical forests. The subject is developed from a vantage point
provided by analysis in a combined space, scale (frequency), time,
wavelength, polarization domain. The combination of space and scale
offers the capability to zoom in and out like a virtual microscope
to the resolution in tune with the underlying ecological
phenomenon. It also enables statistical measures (correlations)
related to the forest spatial distribution in case of backscatter,
or to the canopy height variations in case of interferometric
observations. The time dimension brings into play measures of the
ecosystem dynamics, such as the flooding extent in the swamp
forests, deforestation or degradation events. Wavelength and
polarization agility extend the abovementioned capabilities by
radar observations that are in tune with particular characteristics
of the forest and terrain layers. The book's spotlight is on radar
spatial random fields, these being populated by either backscatter
observations or elevation data from interferometric SAR. The basic
tenet here is that the spatial statistic of the fields measured by
the wavelet variance (in stationary or non-stationary situations)
carries fingerprints of the forest structure. Features: Uniquely
focused on specific techniques that provide multi-resolution
spatial and temporal analysis of forest structure characteristics
and changes. Examines several large and important international
remote sensing projects aimed at documenting entire tropical
ecosystems. Provides novel wavelet methods for tropical forest
structural measures. As the first book on this topic, this
composite approach appeals to both students learning through
important case studies and to researchers finding new ideas for
future studies.
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