6533b834fe1ef96bd129e0ae

RESEARCH PRODUCT

Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS

H. SaloI. PellikkaV. TirronenJ. KaivosojaS. TuominenA. BalazsJ. HeikkiläHeikki Saari

subject

ta113precision agriculturebusiness.industryComputer scienceUAVtarget detectionPiezo actuatorsmedical imagingairborneFabry-Perot Interferometerimaging spectrometerTree (data structure)Hyperspectral sensorsLidarRemote sensing (archaeology)Computer visionArtificial intelligencemultispectral image sensorsDigital surfacebusinessTree speciesRemote sensing

description

In this paper we consider methods for estimating forest tree stem volumes by species using images taken from light unmanned aircraft systems (UAS). Instead of using LiDAR and additional multiband imagery a color infrared camera mounted to a light UAS is used to acquire both imagery and the DSM of target area. The goal of this study is to accurately estimate tree stem volumes in three classes. The status of the ongoing work is described and an initial method for delineating and classifying treetops is presented.

yearjournalcountryeditionlanguage
2012-05-01Proceedings of SPIE
10.1117/12.919085https://doi.org/10.1117/12.919085