Retrieving Forest Inventory Variables with Terrestrial Laser Scanning TLS in Urban Heterogeneous ForestReportar como inadecuado




Retrieving Forest Inventory Variables with Terrestrial Laser Scanning TLS in Urban Heterogeneous Forest - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1

Remote Sensing and Geospatial Analysis Laboratory, Precision Forestry Cooperative, School of Forest Resources, College of the Environment, University of Washington, Box 352100, Seattle, WA 98195, USA

2

International Institute for Earth System Science, Nanjing University, Nanjing 210093, China





*

Author to whom correspondence should be addressed.



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. View Full-Text

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





Autor: L. Monika Moskal 1,* and Guang Zheng 2

Fuente: http://mdpi.com/



DESCARGAR PDF




Documentos relacionados