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

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...

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Bibliographic Details
Main Author: Lemenkova Polina
Format: Conference Object
Language:unknown
Published: 2015
Subjects:
Modelling
Mapping
GIS
land cover types
land cover changes
landscapes
Arctic
image processing
satellite images
Landsat TM
Yamal Peninsula
Online Access:https://zenodo.org/record/2317833
https://doi.org/10.6084/m9.figshare.7211639
Description
Summary: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. P. Lemenkova. "Modelling Landscape Changes and Detecting Land Cover Types by Means of Remote Sensing Data and ILWIS GIS". In: Information Technologies. Problems and Solutions. Proceedings of the 3rd International Research Conference (Ufa State Petroleum Technological University, May 20–22, 2015). Ed. by F. U. Enikeev. Vol. 1. 2. Ufa, Russia: Vostochnaya Pechat, 2015, pp. 265–271. isbn: 978-5-905220-50-4. doi:10.6084/m9.figshare.7211639.

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