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

Proceedings of the 3rd Int'l Research Conference 'Information Technologies. Problems and Solutions'. Ufa State Petroleum Technological University, Ufa, Russia. Ed. F. U. Enikeev. Vol. 1.2. Vostochnaya Pechat, pp. 265–271. isbn: 978-5-905220-50-4, 2015

7 Pages Posted: 30 Jan 2019

Date Written: May 20, 2015

Abstract

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 analysed 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.

Keywords: Landsat, remote sensing, supervised classification, modeling

JEL Classification: Y1, Y10, Y92, Q00, Q01, Q23, Q24, Q50, Q51, Q55, Q56

Suggested Citation

Lemenkova, Polina, Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS (May 20, 2015). Proceedings of the 3rd Int'l Research Conference 'Information Technologies. Problems and Solutions'. Ufa State Petroleum Technological University, Ufa, Russia. Ed. F. U. Enikeev. Vol. 1.2. Vostochnaya Pechat, pp. 265–271. isbn: 978-5-905220-50-4, 2015, Available at SSRN: https://ssrn.com/abstract=3316550

Polina Lemenkova (Contact Author)

Universität Salzburg ( email )

Schillerstr. 30, Building 15, 3rd Floor
Salzburg, Salzburg 5020
Austria
+43(0)67761732772 (Phone)

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