Mapping Land Cover Changes Using Landsat TM: A Case Study of Yamal Ecosystems, Arctic Russia

• Main Authors: Lemenkova, Polina, Forbes, Bruce, Kumpula, Timo
• Other Authors: Geoinformatics: Theoretical and Applied Aspects (11: Kiev, Ukraine)
• Format: Conference Object
• Language: English
• Published: 2012
• Subjects: Sciences exactes et naturelles; Sciences de la terre et du cosmos; Cartographie; Géographie physique; Aménagement du territoire; Photogéologie [géogr.phys. géomorph. pédologie; etc.]; Physique du globe; Systèmes d'information géographique; Télédétection; Méthodologie de la recherche scientifique; Méthodes mathématiques et quantitatives; Géodésie appliquée topographie [télédétection]; land cover change; environmental monitoring; Landsat TM; satellite image; image processing; wetland; ecosystem; supervised classification; Minimal Distance; Tundra
• Online Access: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/364369; https://dipot.ulb.ac.be/dspace/bitstream/2013/364369/3/Lemenkova_etal_Poster_Yamal.pdf

This poster presents image processing by ILWIS GIS. It demonstrates changes in land cover types in tundra landscapes (Yamal) since 1988 to 2011. The research method is supervised classification (Minimal Distance) of the Landsat TM scenes. The new approach of the current work is application of ILWIS GIS and RS tools for Arctic, Bovanenkovo region. The poster demonstrates techniques of the remote sensing data processing by ILWIS GIS. info:eu-repo/semantics/published