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The Use of Remote Sensing in the Modeling of Forest Productivity
Forests comprise the greatest storage of carbon on land, provide fuel for millions, are the habitat for most terrestrial biodiversity, and are critical to the economies of many countries. Yet changes in the extent and dynamics of forests are inherently difficult to detect and quantify. Remote sensing technologies may facilitate the measurement of some key forest properties which, when combined with other information contained in various computer models, may allow for the quantification of critical forest functions. This book explores how remote sensing and computer modeling can be combined to estimate changes in the carbon storage, or productivity, of forests - from the level of the leaf to the level of the globe. Land managers, researchers, policy makers and students will all find stimulating discussions among an international set of experts at the cutting edge of the interface between science, technology and management.
Water-Carbon Dynamics in Eastern Siberia
This book discusses the water and carbon cycle system in the permafrost region of eastern Siberia, Providing vitalin sights into how climate change has affected the permafrost environment in recent decades. It analyzes the relationships between precipitation and evapotranspiration, gross primary production and runoff in the permafrost regions, which differ from those intropical and temperate forests. Eastern Siberia is located in the easternmost part of the Eurasian continent, and the land surface with underlying permafrost has developed over a period of seventy thousand years. The permafrost ecosystem has specific hydrological and meteorological characteristics in terms of the water and carbon dynamics, and the current global warming and resulting changes in the permafrost environment are serious issues in the high-latitude regions. The book is a valuable resource for students, researchers and professionals interested in forest meteorology and hydrology, forest ecology, and boreal vegetation, as well as the impact of climate change and water-carbon cycles in permafrost and non-permafrost regions.
Global Climate Change and Response of Carbon Cycle in the Equatorial Pacific and Indian Oceans and Adjacent Landmasses
To understand the global warming mechanism, global mapping of primary production was carried out under the GCMAPS program. The program was concerned with marine and terrestrial environmental changes, which affect carbon cycle on the regional and global scales. On the regional scale, warm phase of ENSO (El Niño / Southern Oscillation) has been shown to affect economic activities in many countries. The keyword for understanding mechanism of global warming is ‘primary productivity’. The earth observation satellites (EOS) like the ADEOS of Japan, and the SeaWiFS, Sea Star and Terra of the U.S.A. provided much required data for modeling and verification of primary production estimates on bot...
Pattern Recognition in Soft Computing Paradigm
Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realise the system. A distinguishing feature of this volume is that it deals with all three aspects of PR, namely feature analysis, clustering and classifier design. It also encompasses image processing methodologies and image retrieval with subjective information. The other interesting aspect of the volume is that it covers all three major facets of soft computing: fuzzy logic, neural netwo...
Biomedical Circuits and Systems
Integrated circuit design for biomedical applications requires an interdisciplinary background, ranging from electrical engineering to material engineering to computer science. This book is written to help build the foundation for researchers, engineers, and students to further develop their interest and knowledge in this field. This book provides an overview of various biosensors by introducing fundamental building blocks for integrated biomedical systems. State-of-the-art projects for various applications and experience in developing these systems are explained in detail. Future design trends in this field is also discussed in this book.
High Spectral Resolution Infrared Remote Sensing for Earth’s Weather and Climate Studies
One of major challenges facing Earth's science in the next decade and beyondis the development of an accurate long term observational data set to study global change. To accomplish this, a wide range of observations will be required to provide both new measurements, not previously achievable and measurements with a greater degreee of accuracy and resolution than the ones which are presently and currently available. Among the parameters that are currently retrieved from satellite vertical sounding observations, temperature and moisture profiles are the most important for the description of the thermodynamic state of the medium. Other parameters, like those describing the cloud fields, the sur...
The Geometry of Uncertainty
The principal aim of this book is to introduce to the widest possible audience an original view of belief calculus and uncertainty theory. In this geometric approach to uncertainty, uncertainty measures can be seen as points of a suitably complex geometric space, and manipulated in that space, for example, combined or conditioned. In the chapters in Part I, Theories of Uncertainty, the author offers an extensive recapitulation of the state of the art in the mathematics of uncertainty. This part of the book contains the most comprehensive summary to date of the whole of belief theory, with Chap. 4 outlining for the first time, and in a logical order, all the steps of the reasoning chain assoc...
The Earth Observer
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Pattern Recognition In Softcomputing Paradigm
Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realise the system.A distinguishing feature of this volume is that it deals with all three aspects of PR, namely feature analysis, clustering and classifier design. It also encompasses image processing methodologies and image retrieval with subjective information. The other interesting aspect of the volume is that it covers all three major facets of soft computing: fuzzy logic, neural networks and evolutionary computing.
