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dc.contributor.authorBayburt, S.
dc.contributor.authorBuyuksalih, Gürcan
dc.contributor.authorSchardt, M.
dc.contributor.authorBuyuksalih, I.
dc.date.accessioned2023-02-21T10:10:09Z
dc.date.available2023-02-21T10:10:09Z
dc.identifier.citationBuyuksalih I., Bayburt S., Schardt M., Buyuksalih G., "FOREST STEM VOLUME CALCULATION USING AIRBORNE LIDAR DATA", ISPRS Hannover Workshop / High-Resolution Earth Imaging for Geospatial Information (HRIGI) Workshop / City Models, Roads and Traffic (CMRT) Workshop / Image Sequence Analysis (ISA) Workshop / European Calibration and Orientation (EuroCOW) Workshop, Hannover, Almanya, 6 - 09 Haziran 2017, cilt.42-1, ss.265-270
dc.identifier.othervv_1032021
dc.identifier.otherav_3de154eb-a524-4474-abba-997b2618c22d
dc.identifier.urihttp://hdl.handle.net/20.500.12627/188163
dc.identifier.urihttps://doi.org/10.5194/isprs-archives-xlii-1-w1-265-2017
dc.description.abstractAirborne LiDAR data have been collected for the city of Istanbul using Riegl laser scanner Q680i with 400kHz and an average flight height of 600m. The flight campaign was performed by a helicopter and covers an area of 5400km2. According to a flight speed of 80 knot a point density of more than 16 points/m2 and a laser footprint size of 30cm could be achieved. As a result of bundle adjustment, in total, approximately 17,000 LAS files with the file size of 500m by 700m have been generated for the whole city. The main object classes Ground, Building, Vegetation (medium, high) were derived from these LAS files using the macros in Terrasolid software. The forest area under investigation is located northwest of the city of Istanbul, main tree species occurring in the test site are pine (pinus pinaster), oak (quercus) and beech (fagus). In total, 120 LAS tiles covering the investigation area have been analysed using the software IMPACT of Joanneum Research Forschungsgesellschaft, Graz, Austria. First of all, the digital terrain model (DTM) and the digital surface models (DSM) were imported and converted into a raster file from the original laser point clouds with a spatial resolution of 50cm. Then, a normalized digital surface model (nDSM) was derived as the difference between DSM and the DTM. Tree top detection was performed by multi - resolution filter operations and tree crowns were segmented by a region growing algorithms develop specifically for this purpose. Breast Height Diameter (BHD) was calculated on the base of tree height and crown areas derived from image segmentation applying allometric functions found in literature. The assessment of stem volume was then calculated as a function of tree height and BHD. A comparison of timber volume estimated from the LiDAR data and field plots measured by the Forest Department of Istanbul showed R2 of 0.46. The low correlation might arise either from the low quality of the field plots or from the inadequacy of the allometric functions used for BHD and stem volume modelling. Further investigations therefore will concentrate both on improving the quality of field measurements and the adoption of the allometric functions to the specific site condition of the forests under investigation. Finally stand boundaries of the forest area made available by the forest department of Istanbul were superimposed to the LiDAR data and the single tree measurements aggregated to the stand level.
dc.language.isoeng
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectTıp
dc.subjectElektromanyetizma, Akustik, Isı Transferi, Klasik Mekanik ve Akışkanlar Dinamiği
dc.subjectOptik
dc.subjectSağlık Bilimleri
dc.subjectTemel Bilimler
dc.subjectFizik
dc.subjectGÖRÜNTÜLEME BİLİMİ VE FOTOĞRAF TEKNOLOJİSİ
dc.subjectOPTİK
dc.subjectTemel Bilimler (SCI)
dc.subjectYerbilimleri
dc.subjectUZAKTAN ALGILAMA
dc.titleFOREST STEM VOLUME CALCULATION USING AIRBORNE LIDAR DATA
dc.typeBildiri
dc.contributor.departmentBIMTAS , ,
dc.identifier.volume42-1
dc.contributor.firstauthorID4071681


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