Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8866624 | Remote Sensing of Environment | 2018 | 14 Pages |
Abstract
A voxel-based change detection methodology was developed to accurately detect and quantify structural losses and incorporated several methods to mitigate the challenges presented by shifting tree and branch positions as SDT decay progresses. The volume and structural loss of 29 SDTs, composed of Pinus taeda and Quercus stellata, were successfully estimated using multitemporal terrestrial lidar observations over elapsed times ranging from 71 to 753â¯days. Pine and oak structural loss rates were characterized by estimating the amount of volumetric loss occurring in 20 equal-interval height bins of each SDT. Results showed that large pine snags exhibited more rapid structural loss in comparison to medium-sized oak snags in southeastern Texas.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Eric B. Putman, Sorin C. Popescu, Marian Eriksson, Tan Zhou, Paul Klockow, Jason Vogel, Georgianne W. Moore,