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

Suggested Citation

Lemenkova, Polina, Linking GIS and Remote Sensing Data to Study Vegetation Patterns (November 11, 2015). 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, Available at SSRN: https://ssrn.com/abstract=3312564

Polina Lemenkova (Contact Author)

Universität Salzburg ( email )

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

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
19
Abstract Views
293
PlumX Metrics