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Remote Sens. 2016, 8(9), 778;

An Integrated Approach for Monitoring Contemporary and Recruitable Large Woody Debris

School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA
Author to whom correspondence should be addressed.
Academic Editors: Lars T. Waser and Prasad S. Thenkabail
Received: 22 June 2016 / Revised: 1 September 2016 / Accepted: 8 September 2016 / Published: 20 September 2016
PDF [3270 KB, uploaded 20 September 2016]


Large woody debris (LWD) plays a critical structural role in riparian ecosystems, but it can be difficult and time-consuming to quantify and survey in the field. We demonstrate an automated method for quantifying LWD using aerial LiDAR and object-based image analysis techniques, as well as a manual method for quantifying LWD using image interpretation derived from LiDAR rasters and aerial four-band imagery. In addition, we employ an established method for estimating the number of individual trees within the riparian forest. These methods are compared to field data showing high accuracies for the LWD method and moderate accuracy for the individual tree method. These methods can be integrated to quantify the contemporary and recruitable LWD in a river system. View Full-Text
Keywords: LiDAR; object-based image analysis; riparian; forests LiDAR; object-based image analysis; riparian; forests

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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 (CC BY 4.0).

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Richardson, J.J.; Moskal, L.M. An Integrated Approach for Monitoring Contemporary and Recruitable Large Woody Debris. Remote Sens. 2016, 8, 778.

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