Sunday 1 August 2010 by Libadmin2009

9th International Multidisciplinary Scientific GeoConference - SGEM2009, www.sgem.org, SGEM2009 Conference Proceedings/ ISBN 10: 954-91818-1-2, June 14-19, 2009, Vol. 2, 235-242 pp


This research is devoted to elaboration of common principles for using cartographic
information (especially Digital Elevation Model and thematic maps) and remote sensing
data in definition of criteria of coastal morphosystems state. There are discussed some
different approaches to the problem of using cartographic information like descriptions,
graphical and grapho-analytical methods for DEM analysis much as topographic maps
analysis as well as study of structure, dynamics and correlation for thematic maps
analysis. Furthermore one of the crucial problems considered in detail here is a selection
of the most appropriate type of remote sensing data for each group of criteria of CMS
state in connection with spatial resolution and spectral range of space images. One of
the most important advantages of using remote sensing data is that space imagery shows
all the morphosystem components jointly, which allows to have the most accurate
picture of spatial correlation between mapping objects. Methods were tested on the
Black Sea coast near Sochi area. During this research we took CMS characteristics such
as distribution of different relief types, morphometric indexes (angle and exposition of
slope), distribution of various vegetation cover types, anthropogenic load, etc. for
polyvalent classification with different combinations of signs. Accordingly to
conventional geosystems approach for complex mapping we created several maps of
CMS types based on such classifications. Naturally the question concerning place of
CMS maps in the modern system of geomorphologic maps arose. CMS maps show
many-sided description of morphosystems. One of the research results is that each CMS
has individual features as well as common features which allow clustering and assigning
one strategy for management and sustainable development of CMS group. Also after
this research we can say that almost each criterion of CMS state can be finding via
cartographic information or remote sensing data.

Keywords: coastal morphosystems, systematic approach, cartographical analysis, remote sensing data