Landscape Small-scale Mapping And
Sustainable Development
Author(s)
Z. Sh. Gagaeva & I. A. Kerimov
Abstract
This paper deals with capabilities and methods of analysis of remote
information. The objective of the analysis is preparation of the preliminary
landscape map on the basis of Landsat image classification. Dichotomic
grouping of the data was performed using K-means method and various remote
metrics. On each level iteration procedure was used. Classification result provide
identification of various conditions of landscape cover on the basis of various
classification levels detailed more and more on following levels. Classification
provides grounds for detail identification of natural zonal types of landscapes. In
this connection residential areas and significantly transformed natural areas are
identified as well. Comparison of classification results with content of forestry
map of USSR (1973) of scale 1:1 000 000, and geobotanical map of scale 1:4
000 000, allows reliable identification of basic types of landscape cover.
Keywords: landscapes, dichotomic grouping (classification), environmental
management, sustainable development, spectral brightness.
1 Introduction
At the present time preservation of the ecological balance of natural environment
and environmental management is a vital issue in scholarly disputes. Landscape
is an immediate area of human and economic activities. Excessive human impact
on landscape resulted in deterioration of landscape element interaction processes
[1]. Moreover on numerous occasions backlash of the influence reached global
scale.
In sustainable development concept among most important problems there is
a problem of landscapes functional properties preservation. Development of
Keywords
landscapes, dichotomic grouping (classification), environmental
management, sustainable development, spectral brightness.
Related Book
Other papers in this volume
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