USING AIRBORNE LIDAR DATA FOR ASSESSMENT OF FOREST FIRE FUEL LOAD POTENTIAL
Yükleniyor...
Tarih
2017
Yazarlar
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
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 Değeri
N/A
Scopus Q Değeri
N/A
Cilt
4-4
Sayı
W4
