| Content Provider | MDPI |
|---|---|
| Author | Liang, Xinlian Jaakkola, Anttoni Wang, Yunsheng Hyyppä, Juha Honkavaara, Eija Liu, Jingbin Kaartinen, Harri |
| Abstract | This paper evaluated the feasibility of a terrestrial point cloud generated utilizing an uncalibrated hand-held consumer camera at a plot level and measuring the plot at an individual-tree level. Individual tree stems in the plot were detected and modeled from the image-based point cloud, and the diameter-at-breast-height (DBH) of each tree was estimated. The detected-results were compared with field measurements and with those derived from the single-scan terrestrial laser scanning (TLS) data. The experiment showed that the mapping accuracy was 88% and the root mean squared error of DBH estimates of individual trees was 2.39 cm, which is acceptable for practical applications and was similar to the results achieved using TLS. The main advantages of the image-based point cloud data lie in the low cost of the equipment required for the data collection, the simple and fast field measurements and the automated data processing, which may be interesting and important for certain applications, such as field inventories by landowners who do not have supports from external experts. The disadvantages of the image-based point cloud data include the limited capability of mapping small trees and complex forest stands. |
| File Size | 421888 |
| Ending Page | 6603 |
| Page Count | 17 |
| Starting Page | 6587 |
| File Format | |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs6076587 |
| Journal | Remote Sensing |
| Issue Number | 7 |
| Volume Number | 6 |
| Language | English |
| Publisher Date | 2014-07-18 |
| Access Restriction | Open |
| Subject Keyword | forestry individual tree level image-based point cloud laser scanning terrestrial hand-held camera |
| Content Type | Text |
| Resource Type | Article |
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