Unmanned aerial systems for precision forest inventory purposes: A review and case study

By Tristan R. H. Goodbody, Nicholas C. Coops, P. Marshall, P. Tompalski, Patrick Crawford. 2017

166 citations recorded by the source corpus.

Unmanned Aerial Systems (UAS) are capable of improving the efficiency of acquisition and providing fine spatial scale data for sustainable resource management. In this paper we begin by describing differences between UAS airframes, their successes and limitations, and list contemporary research applications. UAS compatible sensor technologies are discussed, including passive and active sensors. Finally, we detail a case study where UAS updated an Enhanced Forest Inventory (EFI) for a study area in interior British Columbia. Airborne Laser Scanning (ALS) from 2013 and Digital Aerial Photogrammetric (DAP) point clouds acquired using a UAS from 2015 were used to estimate individual tree height and volume increments. A total of 246 trees were detected using Canopy Height Models (CHMs) with 70% of these trees being matched in the ALS and DAP data sets. Mean tree growth between 2013 and 2015 from the CHM and 95th percentile of height (P95) was estimated at 0.68 ± 0.05 and 0.50 m ± 0.05 m, respectively. Similarl...

Subfields: Environmental Engineering, Geology, Insect Science

View Paper: https://www.semanticscholar.org/paper/1ce21432512c1070c2d93e784c0503616436597f