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Bioresource and Agricultural Engineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
Forest classification; aggressive native species; invasive species; biodiversity; remote sensing; UAV; machine learning; deep learning
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Full-Text Articles in Bioresource and Agricultural Engineering
Early Detection Of Encroaching Woody Juniperus Virginiana And Its Classification In Multi-Species Forest Using Uas Imagery And Semantic Segmentation Algorithms, Lin Wang, Yuzhen Zhou, Qiao Hu, Zhenghong Tang, Yufeng Ge, Adam Smith, Tala Awada, Yeyin Shi
Early Detection Of Encroaching Woody Juniperus Virginiana And Its Classification In Multi-Species Forest Using Uas Imagery And Semantic Segmentation Algorithms, Lin Wang, Yuzhen Zhou, Qiao Hu, Zhenghong Tang, Yufeng Ge, Adam Smith, Tala Awada, Yeyin Shi
Department of Biological Systems Engineering: Papers and Publications
Woody plant encroachment into grasslands ecosystems causes significantly ecological destruction and economic losses. Effective and efficient management largely benefits from accurate and timely detection of encroaching species at an early development stage. Recent advances in unmanned aircraft systems (UAS) enabled easier access to ultra-high spatial resolution images at a centimeter level, together with the latest machine learning based image segmentation algorithms, making it possible to detect small-sized individuals of target species at early development stage and identify them when mixed with other species. However, few studies have investigated the optimal practical spatial resolution of early encroaching species detection. Hence, we …