USING AIRBORNE LIDAR DATA FOR ASSESSMENT OF FOREST FIRE FUEL LOAD POTENTIAL

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Küçük Resim

Tarih

2017

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Copernicus Gesellschaft Mbh

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

Forest fire incidences are one of the most detrimental disasters that may cause long terms effects on forest ecosystems in many parts of the world. In order to minimize environmental damages of fires on forest ecosystems, the forested areas with high fire risk should be determined so that necessary precaution measurements can be implemented in those areas. Assessment of forest fire fuel load can be used to estimate forest fire risk. In order to estimate fuel load capacity, forestry parameters such as number of trees, tree height, tree diameter, crown diameter, and tree volume should be accurately measured. In recent years, with the advancements in remote sensing technology, it is possible to use airborne LIDAR for data estimation of forestry parameters. In this study, the capabilities of using LIDAR based point cloud data for assessment of the forest fuel load potential was investigated. The research area was chosen in the Istanbul Bentler series of Bahcekoy Forest Enterprise Directorate that composed of mixed deciduous forest structure.

Açıklama

4th International Workshop on Geoinformation Science / 4th ISPRS International Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling (GeoAdvances) -- OCT 14-15, 2017 -- Karabuk Univ, Safranbolu Campus, Safranbolu, TURKEY
INAN, Muhittin/0000-0001-8179-9499; Akay, Abdullah Emin/0000-0001-6558-9029

Anahtar Kelimeler

LIDAR, Forestry, Voxel Point Cloud Segmentation, Forest Fire Risk, Fuel Load Potential

Kaynak

4Th International Geoadvances Workshop - Geoadvances 2017: Isprs Workshop On Multi-Dimensional & Multi-Scale Spatial Data Modeling

WoS Q DeÄŸeri

N/A

Scopus Q DeÄŸeri

N/A

Cilt

4-4

Sayı

W4

Künye