1. Advanced full-waveform lidar data echo detection: Assessing quality of derived terrain and tree height models in an alpine coniferous forest
- Author
-
William Puech, M. Pierrot Deseilligny, Sylvie Durrieu, Tristan Allouis, Adrien Chauve, Cédric Vega, and Frédéric Bretar
- Subjects
Canopy ,010504 meteorology & atmospheric sciences ,Gaussian ,0211 other engineering and technologies ,Point cloud ,Terrain ,02 engineering and technology ,Vegetation ,15. Life on land ,01 natural sciences ,symbols.namesake ,Lidar ,symbols ,General Earth and Planetary Sciences ,Waveform ,Environmental science ,Parametric equation ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Remote sensing - Abstract
Small footprint full-waveform airborne lidar systems offer large opportunities for improved forest characterization. To take advantage of full-waveform information, this paper presents a new processing method based on the decomposition of waveforms into a sum of parametric functions. The method consists of an enhanced peak detection algorithm combined with advanced echo modelling including Gaussian and generalized Gaussian models. The study focuses on the qualification of the extracted geometric information. Resulting 3D point clouds were compared to the point cloud provided by the operator. 40 to 60% additional points were detected mainly in the lower part of the canopy and in the low vegetation. Their contribution to Digital Terrain Models (DTMs) and Canopy Height Models (CHMs) was then analysed. The quality of DTMs and CHM-based heights was assessed using field measurements on black pine plots under various topographic and stand characteristics. Results showed only slight improvements, up to 5 cm bias ...
- Published
- 2009
- Full Text
- View/download PDF