دورية أكاديمية
The Use of an Unmanned Aerial Vehicle for Tree Phenotyping Studies
| العنوان: | The Use of an Unmanned Aerial Vehicle for Tree Phenotyping Studies |
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| المؤلفون: | Shara Ahmed, Catherine E. Nicholson, Paul Muto, Justin J. Perry, John R. Dean |
| المصدر: | Separations, Vol 8, Iss 9, p 160 (2021) |
| بيانات النشر: | MDPI AG, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Physics LCC:Chemistry |
| مصطلحات موضوعية: | Unmanned aerial vehicles, ancient woodland, invasive species identification, normalized difference spectral index (NDSI), k-means clustering, Physics, QC1-999, Chemistry, QD1-999 |
| الوصف: | A strip of 20th-century landscape woodland planted alongside a 17th to mid-18th century ancient and semi-natural woodland (ASNW) was investigated by applied aerial spectroscopy using an unmanned aerial vehicle (UAV) with a multispectral image camera (MSI). A simple classification approach of normalized difference spectral index (NDSI), derived using principal component analysis (PCA), enabled the identification of the non-native trees within the 20th-century boundary. The tree species within this boundary, classified by NDSI, were further segmented by the machine learning segmentation method of k-means clustering. This combined innovative approach has enabled the identification of multiple tree species in the 20th-century boundary. Phenotyping of trees at canopy level using the UAV with MSI, across 8052 m2, identified black pine (23%), Norway maple (19%), Scots pine (12%), and sycamore (19%) as well as native trees (oak and silver birch, 27%). This derived data was corroborated by field identification at ground-level, over an area of 6785 m2, that confirmed the presence of black pine (26%), Norway maple (30%), Scots pine (10%), and sycamore (14%) as well as other trees (oak and silver birch, 20%). The benefits of using a UAV, with an MSI camera, for monitoring tree boundaries next to a new housing development are demonstrated. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2297-8739 |
| Relation: | https://www.mdpi.com/2297-8739/8/9/160; https://doaj.org/toc/2297-8739 |
| DOI: | 10.3390/separations8090160 |
| URL الوصول: | https://doaj.org/article/4fc7d128349e4b7fba0463a4890ffd4c |
| رقم الأكسشن: | edsdoj.4fc7d128349e4b7fba0463a4890ffd4c |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22978739 |
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| DOI: | 10.3390/separations8090160 |