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Remote Sensing of Impervious Surfaces in Tropical and Subtropical
Areas offers a complete and thorough system for using optical and
synthetic aperture radar (SAR) remote sensing data for improving
impervious surface estimation (ISE). Highlighting tropical and
subtropical areas where there is significant cloud occurrence and
varying phenology, the book addresses the challenges impacting
impervious surfaces in tropical and subtropical zones. It examines
the potential for estimating urban impervious surfaces in a rainy
and cloudy environment, considers the difficulties encountered when
using optical remote sensing in this type of climate, and assesses
existing methods employing remote sensing data for accurate ISE in
tropical and subtropical regions. Using the results of comparative
studies conducted during the four seasons and in six different
cities (Guangzhou, Shenzhen, Hong Kong, Mumbai, Sao Paulo, and Cape
Town), the authors develop a framework for ISE using optical and
SAR image data. They address the advantages and disadvantages of
optical and SAR data, consider fusion strategies for combining
optical and SAR data, and examine different feature extractions for
optical and SAR data. They also detail the limitations of the
research, suggest possible topics for future analysis, and cover
previous findings on the synergistic use of optical and SAR data.
Concentrates on the effect a tropical and subtropical urban climate
can have on impervious surface estimation (ISE) Reviews literature
on the significance of ISE and the phonological and climatic
characteristics of tropical and subtropical regions Describes
datasets including satellite data, digital orthophoto data, in situ
data, and more Remote Sensing of Impervious Surfaces in Tropical
and Subtropical Areas investigates the state of the art in creating
new algorithms for digital imag
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Landslides (Hardcover)
Yuanzhi Zhang, Qiuming Cheng
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R3,160
R2,961
Discovery Miles 29 610
Save R199 (6%)
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Ships in 10 - 15 working days
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Remote Sensing of Impervious Surfaces in Tropical and Subtropical
Areas offers a complete and thorough system for using optical and
synthetic aperture radar (SAR) remote sensing data for improving
impervious surface estimation (ISE). Highlighting tropical and
subtropical areas where there is significant cloud occurrence and
varying phenology, the book addresses the challenges impacting
impervious surfaces in tropical and subtropical zones. It examines
the potential for estimating urban impervious surfaces in a rainy
and cloudy environment, considers the difficulties encountered when
using optical remote sensing in this type of climate, and assesses
existing methods employing remote sensing data for accurate ISE in
tropical and subtropical regions. Using the results of comparative
studies conducted during the four seasons and in six different
cities (Guangzhou, Shenzhen, Hong Kong, Mumbai, Sao Paulo, and Cape
Town), the authors develop a framework for ISE using optical and
SAR image data. They address the advantages and disadvantages of
optical and SAR data, consider fusion strategies for combining
optical and SAR data, and examine different feature extractions for
optical and SAR data. They also detail the limitations of the
research, suggest possible topics for future analysis, and cover
previous findings on the synergistic use of optical and SAR data.
Concentrates on the effect a tropical and subtropical urban climate
can have on impervious surface estimation (ISE) Reviews literature
on the significance of ISE and the phonological and climatic
characteristics of tropical and subtropical regions Describes
datasets including satellite data, digital orthophoto data, in situ
data, and more Remote Sensing of Impervious Surfaces in Tropical
and Subtropical Areas investigates the state of the art in creating
new algorithms for digital images processing and remotely sensed
images classification, as well as in developing the meteorological
modeling of urban heat islands, and the hydrological modeling of
surface run-off and urban floods.
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