This exhaustive survey of the state of the art in applying ecoinformatics to the study of sustainable development takes a multilevel approach and models the physical environment using both physical parameters as well as multispectral remote sensing.

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.

Complete survey of present-day understanding of the role of ecoinformatics methods in sustainable development Interactive modeling of natural and anthropogenic processes taking into consideration correlations between their components Analyzes the modeling of forest ecosystems to understand their role in stabilization of climate change processes Includes supplementary material: sn.pub/extras

Autorentext
Professor Krapivin has published numerous papers and a number of relevant to environmental and global changes studies. Professor Shutko Author is the co-author of more than 200 publications and presentations in Soviet and International magazines.

Inhalt

1. Towards the information technology for environmental monitoring.- 2. Survivability and biocomplexity.- 3. The NSS model as the GIMS component.- 4. The GIMS-based study of ocean and sea ecosystems.- 5. Decision making procedure in the GIMS.- 6. Passive remote technologe and data processing algorithms.- 7. GIMS- based method for vegetation microwave monitoring.- 8. Remote sensing instruments and carrying platforms that realize the GIMS- technology.