Linking GIS and Remote Sensing Data to Study Vegetation Patterns

Polina Lemenkova (1)

1 OUC - Ocean University of China

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 color composites, supervised classification. The research data includes Landsat scenes. The research method consists in Landsat image processing (Fig.1), georeferencing via the Google Earth and spatial analysis performed in ILIWIS GIS. The choice of Landsat scenes for land cover mapping is explained by their well-known advantages of application in geosciences and cartography. The final outcomes show changes in the vegetation coverage and land cover classes in Bovanenkovo region of the Yamal Peninsula, which happened during the past two decades. The results are received by comparing and analyzing of two classified maps covering the same geographic region with time span of 23 years: in 1988 and 2011. The changes mostly concern types of land covers and overall increase of shrubland and willows. It can be explained by the complex environmental changes in Arctic regions, which leads to ―greenness‖ processes, or unnatural increase of willows.

Mots clés: Landsat TM and ETM data; Image classification; Satellite image interpretation; Spatial analysis; Spatial analysis statistics; GIS Analysis

Mots clés: SIG Systèmes d'information géographique; SIG et aménagement; SIG et modélisation spatiale

Domaines: Sciences cognitives; Informatique; Interface homme-machine [cs.HC]; Géographie; Sciences de l'Homme et Société; Etudes de l'environnement; Sciences de l'environnement; Milieux et Changements globaux; Biodiversité et Ecologie; Statistiques [stat]; Calcul [stat.CO]; Machine Learning [stat.ML]; Informatique [cs]; Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]; Apprentissage [cs.LG]; Informatique ubiquitaire; Recherche d'information [cs.IR]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Ordinateur et société [cs.CY]

Polina Lemenkova. Linking GIS and Remote Sensing Data to Study Vegetation Patterns. New Technologies of Knowledge-Intensive Engineering: Priorities of Development and Training, Kazan National Research Technical University n.a. A.N. Tupolev KNITU-KAI, Nov 2015, Naberezhnye Chelny (Tatarstan), Russia. pp.174-178, ⟨10.6084/m9.figshare.7210388⟩. ⟨hal-01986732⟩