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Article: Assessing and modeling hill fire impact in country parks with SPOT HRV images and GIS

TitleAssessing and modeling hill fire impact in country parks with SPOT HRV images and GIS
Authors
Issue Date1998
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.geocarto.com/
Citation
Geocarto International, 1998, v. 13 n. 1, p. 47-58 How to Cite?
AbstractRemote sensing and geographic information systems (GIS) techniques provide efficient tools for resource management. In this paper, these techniques are applied for resource management of country-parks in Hong Kong, A spatial database is developed integrating SPOT HRV multispectral data, topographic data, hill fire record and thematic maps. Vegetation resources are mapped based on multidate SPOT and DEM data with an overall accuracy of 74.3%. Integrated with hill fire record, the impact of hill fire on vegetation resources is assessed. Grass is the major vegetation type subject to fire. Bi-variate relationships between hill fire, its frequency of occurrence and various terrain (elevation, slope, aspect and distance to streams) and human activities (accessibility and point sources of fire) variables are examined. A logistic regression model is used to identify hill fire prone sites with a 75.4% of correct prediction of fire vs. non-fire sites. Elevation, vegetation and accessibility are found to be more important factors for hill fire occurrence.
Persistent Identifierhttp://hdl.handle.net/10722/86350
ISSN
2015 Impact Factor: 1.38
2015 SCImago Journal Rankings: 0.441
References

 

DC FieldValueLanguage
dc.contributor.authorFung, Ten_HK
dc.contributor.authorJim, CYen_HK
dc.date.accessioned2010-09-06T09:15:46Z-
dc.date.available2010-09-06T09:15:46Z-
dc.date.issued1998en_HK
dc.identifier.citationGeocarto International, 1998, v. 13 n. 1, p. 47-58en_HK
dc.identifier.issn1010-6049en_HK
dc.identifier.urihttp://hdl.handle.net/10722/86350-
dc.description.abstractRemote sensing and geographic information systems (GIS) techniques provide efficient tools for resource management. In this paper, these techniques are applied for resource management of country-parks in Hong Kong, A spatial database is developed integrating SPOT HRV multispectral data, topographic data, hill fire record and thematic maps. Vegetation resources are mapped based on multidate SPOT and DEM data with an overall accuracy of 74.3%. Integrated with hill fire record, the impact of hill fire on vegetation resources is assessed. Grass is the major vegetation type subject to fire. Bi-variate relationships between hill fire, its frequency of occurrence and various terrain (elevation, slope, aspect and distance to streams) and human activities (accessibility and point sources of fire) variables are examined. A logistic regression model is used to identify hill fire prone sites with a 75.4% of correct prediction of fire vs. non-fire sites. Elevation, vegetation and accessibility are found to be more important factors for hill fire occurrence.en_HK
dc.languageengen_HK
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.geocarto.com/en_HK
dc.relation.ispartofGeocarto Internationalen_HK
dc.titleAssessing and modeling hill fire impact in country parks with SPOT HRV images and GISen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1010-6049&volume=13&spage=47&epage=58&date=1998&atitle=Assessing+and+modeling+hill+fire+impact+in+country+parks+with+SPOT+HRV+images+and+GISen_HK
dc.identifier.emailJim, CY:hragjcy@hkucc.hku.hken_HK
dc.identifier.authorityJim, CY=rp00549en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/10106049809354628-
dc.identifier.scopuseid_2-s2.0-0344197126en_HK
dc.identifier.hkuros42875en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0344197126&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume13en_HK
dc.identifier.issue1en_HK
dc.identifier.spage47en_HK
dc.identifier.epage58en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridFung, T=7102715957en_HK
dc.identifier.scopusauthoridJim, CY=7006143750en_HK

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