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The early 21st century marks a new era in space exploration. The
National Aeronautics and Space Administration (NASA) of the United
States, The European Space Agency (ESA), as well as space agencies
of Japan, China, India, and other countries have sent their probes
to the Moon, Mars, and other planets in the solar system. Planetary
Remote Sensing and Mapping introduces original research and new
developments in the areas of planetary remote sensing,
photogrammetry, mapping, GIS, and planetary science resulting from
the recent space exploration missions. Topics covered include:
Reference systems of planetary bodies Planetary exploration
missions and sensors Geometric information extraction from
planetary remote sensing data Feature information extraction from
planetary remote sensing data Planetary remote sensing data fusion
Planetary data management and presentation Planetary Remote Sensing
and Mapping will serve scientists and professionals working in the
planetary remote sensing and mapping areas, as well as planetary
probe designers, engineers, and planetary geologists and
geophysicists. It also provides useful reading material for
university teachers and students in the broader areas of remote
sensing, photogrammetry, cartography, GIS, and geodesy.
Offers New Insight on Uncertainty Modelling Focused on major
research relative to spatial information, Uncertainty Modelling and
Quality Control for Spatial Data introduces methods for managing
uncertainties-such as data of questionable quality-in geographic
information science (GIS) applications. By using original research,
current advancement, and emerging developments in the field, the
authors compile various aspects of spatial data quality control.
From multidimensional and multi-scale data integration to
uncertainties in spatial data mining, this book launches into areas
that are rarely addressed. Topics covered include: New developments
of uncertainty modelling, quality control of spatial data, and
related research issues in spatial analysis Spatial statistical
solutions in spatial data quality Eliminating systematic error in
the analytical results of GIS applications A data quality
perspective for GIS function workflow design Data quality in
multi-dimensional integration Research challenges on data quality
in the integration and analysis of data from multiple sources A new
approach for imprecision management in the qualitative data
warehouse A multi-dimensional quality assessment of photogrammetric
and LiDAR datasets based on a vector approach An analysis on the
uncertainty of multi-scale representation for street-block
settlement Uncertainty Modelling and Quality Control for Spatial
Data serves university students, researchers and professionals in
GIS, and investigates the uncertainty modelling and quality control
in multi-dimensional data integration, multi-scale data
representation, national or regional spatial data products, and new
spatial data mining methods.
The early 21st century marks a new era in space exploration. The
National Aeronautics and Space Administration (NASA) of the United
States, The European Space Agency (ESA), as well as space agencies
of Japan, China, India, and other countries have sent their probes
to the Moon, Mars, and other planets in the solar system. Planetary
Remote Sensing and Mapping introduces original research and new
developments in the areas of planetary remote sensing,
photogrammetry, mapping, GIS, and planetary science resulting from
the recent space exploration missions. Topics covered include:
Reference systems of planetary bodies Planetary exploration
missions and sensors Geometric information extraction from
planetary remote sensing data Feature information extraction from
planetary remote sensing data Planetary remote sensing data fusion
Planetary data management and presentation Planetary Remote Sensing
and Mapping will serve scientists and professionals working in the
planetary remote sensing and mapping areas, as well as planetary
probe designers, engineers, and planetary geologists and
geophysicists. It also provides useful reading material for
university teachers and students in the broader areas of remote
sensing, photogrammetry, cartography, GIS, and geodesy.
Offers New Insight on Uncertainty Modelling Focused on major
research relative to spatial information, Uncertainty Modelling and
Quality Control for Spatial Data introduces methods for managing
uncertainties-such as data of questionable quality-in geographic
information science (GIS) applications. By using original research,
current advancement, and emerging developments in the field, the
authors compile various aspects of spatial data quality control.
From multidimensional and multi-scale data integration to
uncertainties in spatial data mining, this book launches into areas
that are rarely addressed. Topics covered include: New developments
of uncertainty modelling, quality control of spatial data, and
related research issues in spatial analysis Spatial statistical
solutions in spatial data quality Eliminating systematic error in
the analytical results of GIS applications A data quality
perspective for GIS function workflow design Data quality in
multi-dimensional integration Research challenges on data quality
in the integration and analysis of data from multiple sources A new
approach for imprecision management in the qualitative data
warehouse A multi-dimensional quality assessment of photogrammetric
and LiDAR datasets based on a vector approach An analysis on the
uncertainty of multi-scale representation for street-block
settlement Uncertainty Modelling and Quality Control for Spatial
Data serves university students, researchers and professionals in
GIS, and investigates the uncertainty modelling and quality control
in multi-dimensional data integration, multi-scale data
representation, national or regional spatial data products, and new
spatial data mining methods.
This book explores the incorporation of plasmonic nanostructures
into organic solar cells, which offers an attractive light trapping
and absorption approach to enhance power conversion efficiencies.
The authors review the latest advances in the field and discuss the
characterization of these hybrid devices using a combination of
optical and electrical probes. Transient optical spectroscopies
such as transient absorption and transient photoluminescence
spectroscopy offer powerful tools for observing charge carrier
dynamics in plasmonic organic solar cells. In conjunction with
device electrical characterizations, they provide unambiguous proof
of the effect of the plasmonic nanostructures on the solar cells'
performance. However, there have been a number of controversies
over the effects of such integration - where both enhanced and
decreased performance have been reported. Importantly, the new
insights into the photophysics and charge dynamics of plasmonic
organic solar cells that these spectroscopy methods yield could be
used to resolve these controversies and provide clear guidelines
for device design and fabrication.
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