Skip to main content

2012 | Buch

Information Technologies for Remote Monitoring of the Environment

verfasst von: Vladimir Krapivin, Anatolij M. Shutko

Verlag: Springer Berlin Heidelberg

Buchreihe : Springer Praxis Books

insite
SUCHEN

Über dieses Buch

The key novelty of this book is first of all in the successful attempt to conduct jointly modeling of environment in terms of physical environment related parameters and measuring similar parameters by means of multispectral remote sensing, primarily by means of passive microwave remote sensing technology. Another new step is in the development and utilization of a multilevel approach which includes remote sensing of the land and water parameters like soil moisture, depth to water table, biomass of vegetation, temperature and salinity of water, in situ measurements of similar parameters and incorporation of GIS and data sets into the models of typical environments. The part of book, which contains remote sensing is focused on multipurpose observations from aircraft obtained in many soil-climatic zones in different countries and is reach of the examples of practical application.

Applied mathematicians, geophysics, hydrologists, socio-economists, statesmans and other researchers of environmental changes will find a wealth of information and ideas in this book.

Inhaltsverzeichnis

Frontmatter
1. New information technology for environmental monitoring
Abstract
Solving the majority of applied problems of ecodynamics as it stands today is difficult because effective methods of control of soil–plant formations (SPFs) and ocean ecosystems are insufficiently developed. The need for the creation of new effective information technology to process and interpret remote data is dictated by different areas of human activity.
Vladimir F. Krapivin, Anatolij M. Shutko
2. Survivability and biocomplexity
Abstract
One of the main problems facing modern science is the estimation of biosphere survivability under conditions of increasing anthropogenic impact. Such estimation can be brought about by using a biosphere model. Well-known attempts at synthesizing a global model have given unsatisfactory results. The global models that have been created are educational in nature and are not fit for purpose for real estimations.
Vladimir F. Krapivin, Anatolij M. Shutko
3. The NSS model as a GIMS component
Abstract
The problem of global environmental change is the subject of discussions in many publications (Cracknell et al., 2009; Holdren, 2003; Kondratyev, 1998a, b; Kondratyev and Krapivin, 2001a–d; Krapivin, 1993; Krapivin and Kondratyev, 2002; Krapivin and Varotsos, 2007, 2008; Likens et al., 1981; Pielke, 2001a, b, 2002; Purkis and Klemas, 2011; Sellers et al., 1996; Svirezhev, 2002; Turekian, 1996; WB, 2009; Zhou et al., 1986).
Vladimir F. Krapivin, Anatolij M. Shutko
4. GIMS-based study of ocean ecosystems
Abstract
Investigations of the structure and functioning of oceanic ecosystems have become one of the important and rapidly developing areas of sea biology and environmental studies. Different aspects of relevant problems have been studied in the framework of many international biological and environmental programs.
Vladimir F. Krapivin, Anatolij M. Shutko
5. GIMS-based study of inland seas
Abstract
An anthropogenic activity of interest is the influence it has on the biospheric water cycle (Krapivin et al., 1982). The present scales of this influence are global and are composed of a hierarchy of regional changes especially in arid districts. The control of biospheric water systems is an element of climate system monitoring.
Vladimir F. Krapivin, Anatolij M. Shutko
6. Decision-making procedures in the GIMS
Abstract
Environmental monitoring foresees decision-making situations in real time based on data accumulated up to the moment of decision making or as a result of prior data analysis without correlation to the current time. The statistical analysis of events involved in how the monitoring system works can be realized by many methods whose applicability at each event is determined by the combination of parameters that characterize the process studied.
Vladimir F. Krapivin, Anatolij M. Shutko
7. Typical remote-sensing technologies and data-processing algorithms
Abstract
Remote sensing of land covers, the atmosphere, and World Ocean aquatories is based on registering background or reflected and scattered electromagnetic radiation. Such knowledge is necessary to get data about the properties of environmental elements as it explains the dependence of thermal emission on its own physical and geothermal parameters.
Vladimir F. Krapivin, Anatolij M. Shutko
8. Microwave monitoring of vegetation using a GIMS-based method
Abstract
Vegetation covers are the most impacted by model reconstruction and forecasting.
Vladimir F. Krapivin, Anatolij M. Shutko
Backmatter
Metadaten
Titel
Information Technologies for Remote Monitoring of the Environment
verfasst von
Vladimir Krapivin
Anatolij M. Shutko
Copyright-Jahr
2012
Verlag
Springer Berlin Heidelberg
Electronic ISBN
978-3-642-20567-5
Print ISBN
978-3-642-20566-8
DOI
https://doi.org/10.1007/978-3-642-20567-5