Forest Fire Risk Mapping by Kernel Density Estimation
When evaluating wildland fires, well prepared forest fire risk maps are regarded as one of the most valuable tools for forest managers, and during the production stage of these maps, association between historical fire data and other factors, such as topographic, anthropogenic and climatic, are ofte...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb, Faculty of Forestry
2011-01-01
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| Series: | Croatian Journal of Forest Engineering |
| Online Access: | https://hrcak.srce.hr/file/108160 |
| _version_ | 1818178680682184704 |
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| author | Semih Kuter Firdes Yenilmez Nazan Kuter |
| author_facet | Semih Kuter Firdes Yenilmez Nazan Kuter |
| author_sort | Semih Kuter |
| collection | DOAJ |
| description | When evaluating wildland fires, well prepared forest fire risk maps are regarded as one of the most valuable tools for forest managers, and during the production stage of these maps, association between historical fire data and other factors, such as topographic, anthropogenic and climatic, are often required. One of the most encountered problems in forest fire risk analyses is the fact that historical fire data, the dependent variable, are generally in point format, whereas other factors, the independent variables, are often expressed in areal units and available in raster format. Kernel density estimation is a widely preferred method for converting historical fire data into a continuous surface. In this study, kernel density estimate of forest fire events in the Middle East Technical University (METU) campus, in Ankara, Turkey, between 1993 and 2009, were obtained by using different bandwidth choices. Kernel density maps with regard to seasons and years were also produced and the final result was expressed as mean density value in each polygon of the study area. Actions that should be taken in high-risk areas were given on the basis of the results obtained. |
| first_indexed | 2024-12-11T20:51:50Z |
| format | Article |
| id | doaj.art-dc1ce517f45d4ce2810bfbaeecd676c8 |
| institution | Directory Open Access Journal |
| issn | 1845-5719 1848-9672 |
| language | English |
| last_indexed | 2024-12-11T20:51:50Z |
| publishDate | 2011-01-01 |
| publisher | University of Zagreb, Faculty of Forestry |
| record_format | Article |
| series | Croatian Journal of Forest Engineering |
| spelling | doaj.art-dc1ce517f45d4ce2810bfbaeecd676c82022-12-22T00:51:13ZengUniversity of Zagreb, Faculty of ForestryCroatian Journal of Forest Engineering1845-57191848-96722011-01-0132259961072661Forest Fire Risk Mapping by Kernel Density EstimationSemih Kuter0Firdes Yenilmez1Nazan Kuter2Çankýrý Karatekin University Department of Forest Engineering 18200 Çankýrý TURKEYMiddle East Technical University Department of Environmental Engineering 06531 Ankara TURKEYÇankýrý Karatekin University Department of Landscape Architecture 18200 Çankýrý TURKEYWhen evaluating wildland fires, well prepared forest fire risk maps are regarded as one of the most valuable tools for forest managers, and during the production stage of these maps, association between historical fire data and other factors, such as topographic, anthropogenic and climatic, are often required. One of the most encountered problems in forest fire risk analyses is the fact that historical fire data, the dependent variable, are generally in point format, whereas other factors, the independent variables, are often expressed in areal units and available in raster format. Kernel density estimation is a widely preferred method for converting historical fire data into a continuous surface. In this study, kernel density estimate of forest fire events in the Middle East Technical University (METU) campus, in Ankara, Turkey, between 1993 and 2009, were obtained by using different bandwidth choices. Kernel density maps with regard to seasons and years were also produced and the final result was expressed as mean density value in each polygon of the study area. Actions that should be taken in high-risk areas were given on the basis of the results obtained.https://hrcak.srce.hr/file/108160 |
| spellingShingle | Semih Kuter Firdes Yenilmez Nazan Kuter Forest Fire Risk Mapping by Kernel Density Estimation Croatian Journal of Forest Engineering |
| title | Forest Fire Risk Mapping by Kernel Density Estimation |
| title_full | Forest Fire Risk Mapping by Kernel Density Estimation |
| title_fullStr | Forest Fire Risk Mapping by Kernel Density Estimation |
| title_full_unstemmed | Forest Fire Risk Mapping by Kernel Density Estimation |
| title_short | Forest Fire Risk Mapping by Kernel Density Estimation |
| title_sort | forest fire risk mapping by kernel density estimation |
| url | https://hrcak.srce.hr/file/108160 |
| work_keys_str_mv | AT semihkuter forestfireriskmappingbykerneldensityestimation AT firdesyenilmez forestfireriskmappingbykerneldensityestimation AT nazankuter forestfireriskmappingbykerneldensityestimation |