Scopus
YÖKSİS DOI Eşleşti
SJR Q1
Extraction of forest inventory parameters using handheld mobile laser scanning: A case study from Trabzon, Turkey
Measurement Journal of the International Measurement Confederation · Haziran 2021
YÖKSİS Kayıtları
Extraction of forest inventory parameters using handheld mobile laser scanning: A case study from Trabzon, Turkey
Measurement · 2021 SCI-Expanded
Doç. Dr. MUSTAFA ZEYBEK →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Optimisation of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods
2016 ISSN: 02632241 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
Classification of vertebral column disorders and lumbar discs disease using attribute weighting algorithm with mean shift clustering
2016 ISSN: 02632241 SCI-Expanded
Prof. Dr. HASAN ERDİNÇ KOÇER →
Point cloud filtering on UAV based point cloud
2019 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. MUSTAFA ZEYBEK →
Investigation of progressive tool wear for determining of optimized machining parameters in turning
2019 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
Analysis of effect factors on thermoelectric generator using Taguchi method
2020 ISSN: 0263-2241 SCI
Dr. Öğr. Üyesi HAKAN TERZİOĞLU →
Decomposition of process damping ratios and verification of process damping model for chatter vibration
2012 ISSN: 02632241 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis
2012 ISSN: 02632241 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
Optimization of tool geometry parameters for turning operations based on the response surface methodology
2011 ISSN: 02632241 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
A new process damping model for chatter vibration
2011 ISSN: 02632241 SCI-Expanded
Prof. Dr. SÜLEYMAN NEŞELİ →
Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning
2021 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. MUSTAFA KUNTOĞLU →
The determination of age and gender by implementing new image processing methods and measurements to dental X-ray images
2020 ISSN: 0263-2241 SCI-Expanded
Prof. Dr. FATİH BAŞÇİFTÇİ →
Extraction of forest inventory parameters using handheld mobile laser scanning: A case study from Trabzon, Turkey
2021 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. MUSTAFA ZEYBEK →
Measuring curvature of trajectory traced by coupler of an optimal four-link spherical mechanism
2021 ISSN: 0263-2241 SCI-Expanded Q1
Dr. Öğr. Üyesi OSMAN ACAR →
A CNN-SVM Study Based on Selected Deep Features for Grapevine Leaves Classification
2022 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. MURAT KÖKLÜ →
An S-band zero-IF SFCW through-the-wall radar for range, respiration rate, and DOA estimation
2021 ISSN: 0263-2241 SCI-Expanded Q1
Prof. Dr. İSMAİL SARITAŞ →
An experimental study: Detecting the respiration rates of multiple stationary human targets by stepped frequency continuous wave radar
2021 ISSN: 0263-2241 SCI-Expanded Q1
Prof. Dr. İSMAİL SARITAŞ →
An experimental study: Detecting the respiration rates of multiple stationary human targets by stepped frequency continuous wave radar
2021 ISSN: 0263-2241 SCI-Expanded Q1
Dr. Öğr. Üyesi YUNUS EMRE ACAR →
An S-band zero-IF SFCW through-the-wall radar for range, respiration rate, and DOA estimation
2021 ISSN: 0263-2241 SCI-Expanded Q1
Dr. Öğr. Üyesi YUNUS EMRE ACAR →
A CNN-SVM study based on selected deep features for grapevine leaves classification
2022 ISSN: 0263-2241 SCI-Expanded Q1
Doç. Dr. İLKER ALİ ÖZKAN →
Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends
2022 ISSN: 0263-2241 SCI-Expanded Q1
Dr. Öğr. Üyesi ÜSAME ALİ USCA →
Makale Bilgileri
ISSN02632241
Yayın TarihiHaziran 2021
Cilt / Sayfa177
Scopus ID2-s2.0-85106253720
Özet
Forest inventory (FI) surveys are cumbersome when field measurements are performed by manual means. We propose a semi-automated data collection approach using handheld mobile laser scanning (HMLS) to estimate and map key FI parameters. To this end, machine learning (e.g., random forest classifier for tree detection) and innovative algorithms (e.g., ellipse fitting for diameter estimation of noncircular trees) were used for the first time in FI surveying. After surveying nine plots, we compared HMLS-derived data against the field reference. HMLS-derived tree diameters (DBHs) were strongly correlated with the reference data at the single-tree level (r= 0.93–0.99; p< 0.001). At the plot level, HMLS slightly overestimated DBHs in complex plots due to the influence of undergrowth and creepers on trunks. Yet, no statistically significant difference was found between the two datasets (p> 0.05). Overall, HMLS was concluded as efficient and effective tool for FIs, even if used alone.
Yazarlar (2)
1
Can Vatandaşlar
2
Mustafa Zeybek
ORCID: 0000-0001-8640-1443
Anahtar Kelimeler
Crown closure
Individual tree extraction
Light detection and ranging (LiDAR)
Machine learning
Tree attributes
Kurumlar
Artvin Coruh University, Turkey
Artvin Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Measurement: Journal of the International Measurement Confederation
Q1
SJR Skoru1,244
H-Index146
YayıncıElsevier B.V.
ÜlkeNetherlands
Applied Mathematics (Q1)
Condensed Matter Physics (Q1)
Education (Q1)
Electrical and Electronic Engineering (Q1)
Instrumentation (Q1)
Statistics and Probability (Q1)
Metrikler
32
Atıf
2
Yazar
5
Anahtar Kelime