Title :
Disaster Assessment Algorithm after Forest Fire Based on GIS
Author :
Xu, Aijun ; Ma, Minghui
Author_Institution :
Sch. of Inf. Eng., Zhejiang Forestry Univ., Lin´´an
Abstract :
This paper mainly focuses on the application of disaster assessment algorithm after forest fire and studies on the design and realization of disaster assessment based on GIS. After forest fire through the analysis and processing of multi-sources and heterogeneous data, this paper integrates the foundation that the domestic and foreign scholars laid of the research on assessment for forest fire loss with the related knowledge of assessment, accounting and forest resources appraisal so as to study and approach the theory framework and assessment index of the research on assessment for forest fire loss. The technologies of boundary extracted, overlay analysis, and division processing of multi-sources spatial data are available to realize the application of the investigation method of the burnt forest area and the computation of the fire area. The assessment provides evidence for fire cleaning in burnt areas and new policy making on restoration in terms of the direct and the indirect economic loss and ecological and environmental damage caused by forest fire under the condition of different fire danger classes and different amounts of forest accumulation, thus makes forest resources protection operated in a faster, more efficient and more economical way. Finally, this paper takes Linpsilaan city of Zhejiang province as a test area to confirm the method mentioned in the paper in terms of key technologies.
Keywords :
disasters; geographic information systems; GIS; Zhejiang province; disaster assessment algorithm; division processing; forest fire; forest fire loss; multisources spatial data; overlay analysis; policy making; Algorithm design and analysis; Appraisal; Cities and towns; Cleaning; Data mining; Environmental economics; Fires; Geographic Information Systems; Protection; Testing; Disaster Assessment; Forest Fire; GIS;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.246