0000000000825828

AUTHOR

Päivi Lyytikäinen-saarenmaa

0000-0003-1884-3084

showing 1 related works from this author

Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network

2022

Various biotic and abiotic stresses are causing decline in forest health globally. Presently, one of the major biotic stress agents in Europe is the European spruce bark beetle (Ips typographus L.) which is increasingly causing widespread tree mortality in northern latitudes as a consequence of the warming climate. Remote sensing using unoccupied aerial systems (UAS) together with evolving machine learning techniques provide a powerful tool for fast-response monitoring of forest health. The aim of this study was to investigate the performance of a deep one-stage object detection neural network in the detection of damage by I. typographus in Norway spruce trees using UAS RGB images. A Scaled…

bark beetlekirjanpainaja (kaarnakuoriaiset)syväoppiminendeep learningmonitorointiobject detectionneuroverkotmiehittämättömät ilma-aluksetdronetree healthmetsätremote sensingkoneoppiminenbark beetle; deep learning; drone; object detection; remote sensing; tree healthmetsätuhotGeneral Earth and Planetary Scienceskaukokartoitusmetsäkuusihyönteistuhotestimointi
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