Forest Monitoring Using Remote Sensing Data and ILWIS GIS

Polina Lemenkova (1)

1 OUC - Ocean University of China

This paper focuses on the assessment of the changes in land cover types in Yamal peninsula over the past two decades, which shows local environmental aspects of the climate change in North. Technically, the data processing was per- formed in ILWIS GIS, using semi-automated methods of image interpretation and supervised classification. The results of the classification analysis enable to identify changes in land cover types and their distribution in Yamal.

Mots clés: GIS; Land cover change; Vegetation Cover; GIS & Spatial Analyses; Landsat 7 ETM+; Land cover map

Mots clés: SIG et modélisation spatiale; SIG Systèmes d'information géographique; SIG Raster; GIS Climat Environnement Société

Domaines: Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]; Arithmétique des ordinateurs; Interface homme-machine [cs.HC]; Apprentissage [cs.LG]; Géographie; Etudes de l'environnement; Ecosystèmes; Biodiversité et Ecologie; Milieux et Changements globaux; Environnement et Société; Ingénierie de l'environnement; Vision par ordinateur et reconnaissance de formes [cs.CV]; Ordinateur et société [cs.CY]; Environnements Informatiques pour l'Apprentissage Humain

Polina Lemenkova. Forest Monitoring Using Remote Sensing Data and ILWIS GIS. Recent Research Directions in the XXI Century: Theory and Practice, Voronezh State University of Forestry and Technologies n. a. G. Morozov VGLTU, Dec 2015, Voronezh, Russia. pp.346-350, ⟨10.6084/m9.figshare.7210364⟩. ⟨hal-01974737⟩