Linking GIS and Remote Sensing Data to Study Vegetation Patterns
New Technologies of Knowledge-Intensive Engineering: Priorities of Development and Training. Proceedings of the 3rd Int'l Scient.-Pract. Conference, Kazan National Research Technical University n.a. A.N. Tupolev. Ed. O. Y. Gerasimova et al. Naberezhnye Chelny, Russia: KNITU-KAI Press, pp. 174-178
5 Pages Posted: 19 Jan 2019
Date Written: November 11, 2015
Abstract
The paper studies changes in land cover types in tundra landscapes during the past two decades. The study area is located in the Yamal Peninsula, north-central Russia. The main objective of this research is to analyse changes in vegetation distribution and land cover types over the area of Yamal Peninsula. Methodology of the work aims at technical application of the remote sensing and GIS tools for studies and includes georeferencing, creation of colour composites, supervised classification. The research data includes Landsat scenes.
Keywords: land cover types, tundra, landscapes, north Yamal, Russia, GIS, remote sensing, Landsat TM
JEL Classification: Q50, Q51, Q54, Q55, Q56, Y92
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