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Object-Based Analysis of Multispectral RS Data and GIS for Detection of Climate Change Impact on the Karakoram Range Northern Pakistan
Linköpings Universitet Inst för Tema.
Swedish National Defence College, Department of Military Studies, Military-Technology Division. (Teknik till stöd för ledning)ORCID iD: 0000-0002-7864-2674
2015 (English)In: Journal of Environmental Science and Engineering A, ISSN 2162-5298, E-ISSN 2162-5301, Vol. A, no 4, 303-310 p.Article in journal (Refereed) Published
Abstract [en]

Changing climate has a great impact on northern area of Pakistan’s environment and is more prone to environmentalchanges impacts than rest of the country due to its high elevation. However, melting glaciers effect not only the local environmentbut also the whole country with frequent and heavy floods. Remote sensing (RS) from Satellites and Airplanes used in GeographicalInformation Systems (GIS) are technologies that can aid in understanding the on-going environmental processes. Furthermore, helpresearchers to observe, understand, forecast and suggest response to changes that occur. It can be natural disasters or man-madedisasters and human induced factors. Still analysis accuracy issues play a vital role for the formulation of any strategy. To achievebetter results, object based analysis methods have been tested. Various algorithms are developed by the analysts to calculate themagnitude of land cover changes. However, they must be evaluated for each environment that is under observation as mountainousareas. Here were object-based methods evaluated in comparison with pixel based. Landslides, soil moisture, soil permeability, snowcover and vegetation cover can be effectively monitored by those methods.

Place, publisher, year, edition, pages
David Publishing, 2015. Vol. A, no 4, 303-310 p.
Keyword [en]
Geographical information systems, spatial data analysis, object-based analysis of remote sensing data, glacier degradation in Karakoram, vegetation and snow cover.
National Category
Geosciences, Multidisciplinary
Research subject
URN: urn:nbn:se:fhs:diva-5819DOI: 10.17265/2162-5298/2015.06.005OAI: diva2:894073
Available from: 2016-01-14 Created: 2016-01-14 Last updated: 2016-01-14Bibliographically approved

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Sivertun, Åke
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