Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS.

Bulletin of the Ufa State Petroleum Technological Uni- versity 1. Information Technologies. Problems and Solutions (ed Enikeev, F. U.) 265–271. issn: 2500-2996 (2015). The emphasis of this article is placed on the technical application of the remote sensing tools and methods for studies of vegetatio...

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Bibliographic Details
Main Author: Lemenkova, Polina
Format: Text
Language:unknown
Published: figshare 2018
Subjects:
Geography
60302 Biogeography and Phylogeography
FOS Biological sciences
160401 Economic Geography
FOS Social and economic geography
Physical Geography
160403 Social and Cultural Geography
Yamal Peninsula
Online Access:https://dx.doi.org/10.6084/m9.figshare.7439219.v1
https://figshare.com/articles/Modelling_Landscape_Changes_and_Detecting_Land_Cover_Types_by_Means_of_Remote_Sensing_Data_and_ILWIS_GIS_/7439219/1
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Summary:Bulletin of the Ufa State Petroleum Technological Uni- versity 1. Information Technologies. Problems and Solutions (ed Enikeev, F. U.) 265–271. issn: 2500-2996 (2015). The emphasis of this article is placed on the technical application of the remote sensing tools and methods for studies of vegetation coverage in northern ecosystems. The study area is located in Yamal peninsula, the Russian Federation. Landsat imagery covering study area in 1988, 2001 and 2011 has been analyzed using ILWIS GIS. The image processing was performed using semi-automated method of image interpretation. The remote sensing data classification from ILWIS menu enabled to map vegetation coverage over research area, which helped to identify land cover types and distribution in Yamal. Results show that Landsat TM imagery with 30 m mesh spacing is useful for landscape mapping and the interpretation of the vegetation cover types.

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