An automated approach for extracting forest inventory data from individual trees using a Handheld mobile laser scanner
Many dendrometric parameters have been estimated by light detection and ranging (LiDAR) technology over the last two decades. Handheld mobile laser scanning (HMLS), in particular, has come into prominence as a cost-effective data collection method for forest inventories. However, most pilot studies...
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001145149/Details |
|---|---|
| Matična publikacija: |
Croatian journal of forest engineering (Online) 42 (2021), 3 ; str. 515-528 |
| Glavni autori: | Zeybek, Mustafa (Author), Vatandaşlar, Can |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.5552/crojfe.2021.1096 Hrčak |
| LEADER | 02262naa a22003374i 4500 | ||
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| 001 | NSK01001145149 | ||
| 003 | HR-ZaNSK | ||
| 005 | 20230123133633.0 | ||
| 006 | m d | ||
| 007 | cr|||||||||||| | ||
| 008 | 220803s2021 ci a |o |0|| ||eng | ||
| 024 | 7 | |2 doi |a 10.5552/crojfe.2021.1096 | |
| 035 | |a (HR-ZaNSK)001145149 | ||
| 040 | |a HR-ZaNSK |b hrv |c HR-ZaNSK |e ppiak | ||
| 042 | |a croatica | ||
| 044 | |a ci |c hr | ||
| 080 | 1 | |a 630 |2 2011 | |
| 100 | 1 | |a Zeybek, Mustafa |4 aut |9 HR-ZaNSK | |
| 245 | 1 | 3 | |a An automated approach for extracting forest inventory data from individual trees using a Handheld mobile laser scanner |h [Elektronička građa] / |c Mustafa Zeybek, Can Vatandaşlar. |
| 300 | |b Ilustr. | ||
| 504 | |a Bibliografija: str. 526-528. | ||
| 504 | |a Abstract. | ||
| 520 | |a Many dendrometric parameters have been estimated by light detection and ranging (LiDAR) technology over the last two decades. Handheld mobile laser scanning (HMLS), in particular, has come into prominence as a cost-effective data collection method for forest inventories. However, most pilot studies were performed in domesticated landscapes, where the environmental settings were far from those presented by (near)natural forest ecosystems. Besides, these studies consisted of numerous data processing steps, which were challenging when employed by manual means. Here we present an automated approach for deriving key inventory data using the HMLS method in natural forest areas. To this end, many algorithms (e.g., cylinder/circle/ellipse fitting) and machine learning models (e.g., random forest classifier) were used in the data processing stage for estimation of the tree diameter at breast height (DBH) and the number of trees. The estimates were then compared against the reference data obtained by field measurements from six forest sample plots. | ||
| 653 | 0 | |a Inventura šuma |a Laserski skener |a LiDAR |a Mapiranje | |
| 700 | 1 | |a Vatandaşlar, Can |4 aut |9 HR-ZaNSK | |
| 773 | 0 | |t Croatian journal of forest engineering (Online) |x 1848-9672 |g 42 (2021), 3 ; str. 515-528 |w nsk.(HR-ZaNSK)000843366 | |
| 981 | |b Be2021 |b B03/21 | ||
| 998 | |b tino2301 | ||
| 856 | 4 | 0 | |u https://doi.org/10.5552/crojfe.2021.1096 |
| 856 | 4 | 0 | |u https://hrcak.srce.hr/262267 |y Hrčak |
| 856 | 4 | 1 | |y Digitalna.nsk.hr |