An Integrated Approach for Monitoring Contemporary and Recruitable Large Woody Debris

作者：Richardson Jeffrey J^*; Moskal L Monika

来源：Remote Sensing, 2016, 8(9): UNSP 778.

DOI：10.3390/rs8090778

• LiDAR
• object-based image analysis
• riparian
• forests

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.

• 出版日期2016-9