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

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...

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Bibliographic Details
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
Description
Summary: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

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