Scholarly record
CARTOGRAPHICAL APPROACH TO COASTAL MORPHOSYSTEMS MANAGEMENT
Abstract
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.
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References7
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