Drone based Mapping and Identification of Young Spruce Stand for Semiautonomous Cleaning
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Conference article
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Date
2020-11
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Mcode
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Language
en
Pages
7
15777–15783
15777–15783
Series
IFAC-PapersOnLine, Volume 53, issue 2
Abstract
We propose a novel method to locate spruces in a young stand with a low cost unmanned aerial vehicle. The method has three stages: 1) the forest area is mapped and a digital surface model and terrain models are generated, 2) the locations of trees are found from a canopy height model using local maximum and watershed algorithms, and 3) these locations are used in a convolution neural network architecture to detect young spruces. Our result for detecting young spruce trees among other vegetation using only color images from a single RGB camera were promising. The proposed method is able to achieve a detection accuracy of more than 91%. As low cost unmanned aerial vehicles with color cameras are versatile today, the proposed work is enabling low cost forest inventory for automating forest management.Description
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Citation
Ouattara , I , Hyyti , H & Visala , A 2020 , ' Drone based Mapping and Identification of Young Spruce Stand for Semiautonomous Cleaning ' , IFAC-PapersOnLine , vol. 53 , no. 2 , pp. 15777–15783 . https://doi.org/10.1016/j.ifacol.2020.12.205
