Ramerenwald Close Range Remote Sensing Benchmark

Close Range Remote Sensing Benchmark for different LiDAR and photogrammetric Sensors in a mixed temperate forest. Benchmarks are needed to evaluate the performance of different close-range remote sensing devices and approaches, both in terms of efficiency as well as accuracy. In this study we evaluate the performance of two terrestrial (TLS), one handheld mobile (PLS) and two drone based (UAVLS) laser scanning systems to detect trees and extract the diameter at breast height (DBH) in three plots with a steep gradient in tree and understorey vegetation density. As a novelty, we also tested the acquisition of 3D point-clouds using a low-cost action camera (GoPro) in conjunction with the Structure from Motion (SfM) technique and compared its performance with those of the more costly LiDAR devices.

Data and Resources

Additional Info

Field Value
Identifier dca5c802-274f-47c7-b105-069824f48273@envidat
Title for URL of the dataset ramerenwald-close-range-remote-sensing-benchmark
Schedule the publication of the dataset -
Issued date January 12, 2023
Modification date March 15, 2023
Conforms to -
Update interval -
Temporal coverage -
Publisher Information EnviDat
Contact points
Languages English
URL https://www.envidat.ch/#/metadata/ramerenwald-close-range-remote-sensing-benchmark
Relation -
Spatial -
Related datasets -
Documentation -
Keywords
Terms of use https://opendata.swiss/terms-of-use#terms_by
Metadata Access API (JSON) Download XML