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Remote Sens. 2012, 4(1), 1-20; doi:10.3390/rs4010001
Article

Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest

1,*  and 2
Received: 8 November 2011; in revised form: 19 December 2011 / Accepted: 21 December 2011 / Published: 23 December 2011
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Abstract: We present the point cloud slicing (PCS) algorithm, to post process point cloud data (PCD) from terrestrial laser scanning (TLS). We then test this tool for forest inventory application in urban heterogeneous forests. The methodology was based on a voxel data structure derived from TLS PCD. We retrieved biophysical tree parameters including diameter at breast height (DBH), tree height, basal area, and volume. Our results showed that TLS-based metrics explained 91.17% (RMSE = 9.1739 cm, p < 0.001) of the variation in DBH at individual tree level. Though the scanner generated a high-density PCD, only 57.27% (RMSE = 0.7543 m, p < 0.001) accuracy was achieved for predicting tree heights in these very heterogeneous stands. Furthermore, we developed a voxel-based TLS volume estimation method. Our results showed that PCD generated from TLS single location scans only captures 18% of the total tree volume due to an occlusion effect; yet there are significant relationships between the TLS data and field measured parameters for DBH and height, giving promise to the utility of a side scanning approach. Using our method, a terrestrial LiDAR-based inventory, also applicable to mobile- or vehicle-based laser scanning (MLS or VLS), was produced for future calibration of Aerial Laser Scanning (ALS) data and urban forest canopy assessments.
Keywords: terrestrial LiDAR; forest inventory; point cloud slicing (PCS); heterogeneous forests, terrestrial laser scanning (TLS); vehicle-based laser scanning (VLS) terrestrial LiDAR; forest inventory; point cloud slicing (PCS); heterogeneous forests, terrestrial laser scanning (TLS); vehicle-based laser scanning (VLS)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Moskal, L.M.; Zheng, G. Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest. Remote Sens. 2012, 4, 1-20.

AMA Style

Moskal LM, Zheng G. Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest. Remote Sensing. 2012; 4(1):1-20.

Chicago/Turabian Style

Moskal, L. Monika; Zheng, Guang. 2012. "Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest." Remote Sens. 4, no. 1: 1-20.


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