Proceedings, XXth congress: Proceedings, XXth congress

Altan, M. Orhan

Bibliographic data

Multivolume work

Persistent identifier:: 1663674213

Title:: Proceedings, XXth congress

Sub title:: Istanbul, 12 - 23 July 2004

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1663674213

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.; Auch bezeichnet als XXth International Congress for Photogrammetry and Remote Sensing

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing, Commission Primary Data Acquisition

Document type:: Multivolume work

Volume

Persistent identifier:: 166368779X

Title:: Proceedings, XXth congress

Scope:: IV, 226 Seiten

Year of publication:: 2004

Place of publication:: Istanbul

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 166368779X

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(35,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Altan, M. Orhan

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 20., 2004, Istanbul; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: FOREST FIRE RISK ZONE MAPPING FROM SATELLITE IMAGERY AND GIS A CASE STUDY Esra Erten, Vedat Kurgun, Nebiye Musaoglu

Document type:: Multivolume work

Structure type:: Chapter

u 2004 oduct uinties FAPR .299- FOREST FIRE RISK ZONE MAPPING FROM SATELLITE IMAGERY AND GIS A CASE STUDY Esra Erten* , Vedat Kurgun" , Nebiye Musaoglu® * ITU, Institute of Informatics, 34469 Maslak Istanbul, TURKEY —esra@nik.com.tr ? ITU, Civil Engineering Faculty, Remote Sensing Division, 34469 Maslak Istabul, TURKEY- vkurgun@hotmail.com “ITU, Civil Engineering Faculty, Remote Sensing Division, 34469 Maslak Istabul, TURKEY- nmusaoglu@ins.itu.edu.tr KEY WORDS: Landsat, GIS, Forest Fire, Analysis, Disaster ABSTRACT: Forest fires are one of the major natural risk in the Mediterranean countries. In such areas, fires occur frequently and there is a need for supranational approaches that analyse wide scenarios of factors involved and global fire effects. It is impossible to control nature, but is possible to map forest fire risk zone and thereby minimise the frequency of fire. Fire risk must involve both ignition and spreading risk. It is necessary to be able to estimate the spread of fire starting in any stand of a forest, giving the burning conditions. Spreading of forest fire can impose a threat to the natural coverage of land and safety of population. Early detection of forest fires is essential in reduction of fire damage. Satellite data plays a vital role in identifying and mapping forest fire and in recording the frequency at which different vegetation types/zones are effected. A geographic information system (GIS) can be used effectively to combine different forest-fire causing factors for demanding the forest fire risk zone map. A risk model for fire spreading is set up for Gallipoli Peninsula as a pilot zone, because it continually faces a forest fire problem. It is based upon a combination of remote sensing and GIS data. In this study, the LANDSAT satellite images were used. In order to search the effects of the fire occurred in the region on the 25" July 1994, the satellite images both before the fire and after the fire were used. Parameters that effect the fire such as topography and vegetation with the other land use information including population, settlements, forest fire towers, fire stations, intervention places, the characteristics of the staff that will intervene and transportation were integrated within GIS. The shortest way of intervention during the disaster and the areas to be emptied were questioned. For these analyses ARCGIS software was used. Land use information were obtained from the satellite images in this study. In this phase the distinction of spices in the forest was determined using supervised classification. The lands that have priorities in case of fire were decided by combining the moisture of the land and slope classes that were determined by conventional approaches with the satellite images. The results of the analysis were shown by reports and graphics. The test region results should be applied all over Turkey. 1. INTRODUCTION fires have also been effectively used in this study. Understanding the behaviour of forest fire, the factors that It is possible both to control nature and also to map risk zone contribute to making an environment fire prone, and the factors and thereby to minimise the frequency of fire and avert damage. that influence fire behaviour are essential for forest fire Forest fire risk zones are locations where a fire is likely to start, (Chuvieco and Congalton, 1989). and from where it can easily spread to other areas. A precise evaluation of forest fire problems and decision on solutions can In the present study, an attempt was made to prepare a forest only be satisfactory when a fire risk zone mapping is available fire risk zone map by integrating a satellite image, (Jaiswal et al, 2002). topographical and other ancillary data from a geographic information system (GIS) for the Gallipoli where is the most In Turkey, forest fire is still one of the greatest natural hazard forest fire sensitive area in Turkey. This study is also an attempt problems. According to the study, last six decades, 1.504.245 to exploit the capabilities of remote sensing and GIS techniques ha of the forests has been affected by fire. In other words, it and to suggest an appropriate methodology for forest fire risk shows annual affecting forest areas over 24.000 ha. In addition zone mapping. Such maps will help forest department officials to this, along the cost line from Antalya to Istanbul, prevent or minimize fire risk activities within the forest and approximately 12 billion hectares forests are in the first order take proper action when fire breaks out (Chuvieco and Sales, fire sensitive region. 1996). For these reasons, 133627 km roads and 17219 km fire safety bands have been constructed to prevent forest. fire; moreover, forests are watched by 779 fire watchtowers and 17561 unit various radios are used to communicate among these watchtowers. Fire Operation Centre was established in Ankara in 1997. This centre serves 24 hours to monitor forest fire and to coordinate logical support or to communicate. Satellite remote sensing has opened up opportunities for qualitative analyses of forest and other ecosystems at all geographic and spatial scales. Monitoring and detecting forest 33

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