|
Showing 1 - 11 of
11 matches in All Departments
Computational intelligence techniques have enjoyed growing interest
in recent decades among the earth and environmental science
research communities for their powerful ability to solve and
understand various complex problems and develop novel approaches
toward a sustainable earth. This book compiles a collection of
recent developments and rigorous applications of computational
intelligence in these disciplines. Techniques covered include
artificial neural networks, support vector machines, fuzzy logic,
decision-making algorithms, supervised and unsupervised
classification algorithms, probabilistic computing, hybrid methods
and morphic computing. Further topics given treatment in this
volume include remote sensing, meteorology, atmospheric and oceanic
modeling, climate change, environmental engineering and management,
catastrophic natural hazards, air and environmental pollution and
water quality. By linking computational intelligence techniques
with earth and environmental science oriented problems, this book
promotes synergistic activities among scientists and technicians
working in areas such as data mining and machine learning. We
believe that a diverse group of academics, scientists,
environmentalists, meteorologists and computing experts with a
common interest in computational intelligence techniques within the
earth and environmental sciences will find this book to be of great
value.
Remote Sensing Applications in Environmental Research is the basis
for advanced Earth Observation (EO) datasets used in environmental
monitoring and research. Now that there are a number of satellites
in orbit, EO has become imperative in today's sciences, weather and
natural disaster prediction. This highly interdisciplinary
reference work brings together diverse studies on remote sensing
and GIS, from a theoretical background to its applications,
represented through various case studies and the findings of new
models. The book offers a comprehensive range of contributions by
well-known scientists from around the world and opens a new window
for students in presenting interdisciplinary and methodological
resources on the latest research. It explores various key aspects
and offers state-of-the-art research in a simplified form,
describing remote sensing and GIS studies for those who are new to
the field, as well as for established researchers.
"Remote Sensing Applications in Environmental Research "is the
basis for advanced Earth Observation (EO) datasets used in
environmental monitoring and research. Now that there are a number
of satellites in orbit, EO has become imperative in today s
sciences, weather and natural disaster prediction. This highly
interdisciplinary reference work brings together diverse studies on
remote sensing and GIS, from a theoretical background to its
applications, represented through various case studies and the
findings of new models. The book offers a comprehensive range of
contributions by well-known scientists from around the world and
opens a new window for students in presenting interdisciplinary and
methodological resources on the latest research. It explores
various key aspects and offers state-of-the-art research in a
simplified form, describing remote sensing and GIS studies for
those who are new to the field, as well as for established
researchers."
Computational intelligence techniques have enjoyed growing interest
in recent decades among the earth and environmental science
research communities for their powerful ability to solve and
understand various complex problems and develop novel approaches
toward a sustainable earth. This book compiles a collection of
recent developments and rigorous applications of computational
intelligence in these disciplines. Techniques covered include
artificial neural networks, support vector machines, fuzzy logic,
decision-making algorithms, supervised and unsupervised
classification algorithms, probabilistic computing, hybrid methods
and morphic computing. Further topics given treatment in this
volume include remote sensing, meteorology, atmospheric and oceanic
modeling, climate change, environmental engineering and management,
catastrophic natural hazards, air and environmental pollution and
water quality. By linking computational intelligence techniques
with earth and environmental science oriented problems, this book
promotes synergistic activities among scientists and technicians
working in areas such as data mining and machine learning. We
believe that a diverse group of academics, scientists,
environmentalists, meteorologists and computing experts with a
common interest in computational intelligence techniques within the
earth and environmental sciences will find this book to be of great
value.
Climate change has been addressed since last decade based on the
influence of human activities like production of industrial
effluents, land use changes and other activities due to development
of the society. These are very important issues no doubt but the
activities due to the influence of extraterrestrial phenomena have
not been given its due importance. An attempt is being made here to
understand the influence of extraterrestrial activities as one of
the important factors of climate change has been attempted here.
The influence of Sun and distant stars on the environment of the
earth has been studied during the cyclic changes in the Sun as well
as episodic changes in the environment due to the effect of other
celestial objects in between Sun-Earth environment. The study has
been carried out based on the changes within the Sun as well as
changes during the solar eclipse. During these extra terrestrial
changes it has been observed that the earth changes in its
atmosphere as well as geosphere, which may have local effect but
the increase of these local effect in large scale may contribute to
the climate change. Solar radiation drives atmospheric circulation.
Since solar radiation represents almost all the energy available to
the Earth, accounting for solar radiation and how it interacts with
the atmosphere and the Earth's surface is fundamental to
understanding the Earth's energy budget.
This book provides a thought for the future research of the most
advanced interdisciplinary research in contemporary science.
Sun-Earth-Cosmic connection is an evolving technology to know the
dynamic processes that occur in the Sun and influence the
thermosphere- ionosphere-atmosphere-hydrosphere-biosphere and the
whole geosphere. The author relates that the extra terrestrial
remote sensing observation coupled with earth based sensor like
cosmic ray detector has the potential to predict life of satellites
in space, earthquake, snowfall, rainfall, tornado, draught and
epidemics of biological system. The technology has potential to
infer the studies of the human dimensions of global environmental
change by comprehensive study of human actions and natural changes.
Earthquake Prediction is the ultimate goal for geoscientists. This
volume presents the latest ideas of the ever fascinating and
challenging research of earthquake prediction. Sunspot activity and
Coronal mass ejection are considered to be influential phenomena in
affecting both the electric as well as the magnetic characteristics
of sun-earth environment. All these changes have been observed
before the occurrence of earthquakes and tsunami in various parts
of the earth. A session on Earthquake Prediction, chaired by Dr.
Saumitra Mukerjee was held during the European Geosciences Union
General Assembly 2005, (Vienna, Austria, April 2005). The EGU
General Assembly was able to bring together 8000 geoscientists from
all over Europe and the rest of the world into one meeting covering
all disciplines of the Earth and Planetary Sciences. This book
presents the 7 papers presented in the session on Earthquake
Prediction.
|
You may like...
Minute Taking
Paul Ticher, Lee Comer
Paperback
R556
Discovery Miles 5 560
Crosshairs
James Patterson, James O Born
Paperback
R380
R270
Discovery Miles 2 700
|