hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
GIS-based Multi-criteriaAnalysis Used in Forest Fire Estimation: A Case Study of Northernmost Gävleborg County in Sweden
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
2011 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Fire plays an important role in forest ecosystem management depending on the dual character of it. It should be managed and supervised effectively. In this particular study, the study area was located in the north part of Gävleborg County in Sweden, which is in a high- latitude region. Seven factors, divided into natural factors and human caused factors, were extracted from digital elevation model (DEM), classified land use map and feature shape files provided by National Land Survey of Sweden (Lantmäteriet). Two different weighting schemes for the factors were determined by the Analytic Hierarchy Process (AHP) method. With the help of ArcGIS 9.3 and Erdas 9.3, two classified result maps were obtained, where forest fire risk ranks were shown as five classes, very low, low, moderate, high and very high. The 43 fire incidents in the year 2007 and 2008 recorded by Global Fire Management System were used to evaluate the results. The results show that the higher rank the region is, the larger is the probability for forest fire risk and higher the risk to spread the fire. Furthermore, according to the occurrence time of the fire incidents, the period of time from end of May to beginning of June was generalized as a dangerous period for forest fire risk in this study area. After analyzing and discussing, even if there might be some uncertainties caused by variable selection, resolution problem and weighting schemes, the results were generally reliable.

Place, publisher, year, edition, pages
2011. , p. vii+33
Keywords [en]
Multi-criteria analysis (MCA), GIS, Forest fire risk rank, Analytic Hierarchy Process (AHP)
Identifiers
URN: urn:nbn:se:hig:diva-9626OAI: oai:DiVA.org:hig-9626DiVA, id: diva2:426169
Subject / course
Geomatics
Educational program
Geomatics – bachelor’s programme (swe or eng)
Presentation
(English)
Uppsok
Technology
Supervisors
Examiners
Available from: 2011-06-27 Created: 2011-06-22 Last updated: 2011-06-27Bibliographically approved

Open Access in DiVA

fulltext(2554 kB)1085 downloads
File information
File name FULLTEXT01.pdfFile size 2554 kBChecksum SHA-512
82bce90e7f6c75c08dc6120df20d53196baedab414551099ca33874836aaaa2857d06d82b9a8f3dcfa10741e1fd1edeceaa5c21d7f4a22c78338e9b2b80ff6c1
Type fulltextMimetype application/pdf

By organisation
Department of Industrial Development, IT and Land Management

Search outside of DiVA

GoogleGoogle Scholar
Total: 1086 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1039 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf