High-resolution mapping of upland swamp vegetation using an unmanned aerial vehicle-hyperspectral system
Article
Article Title | High-resolution mapping of upland swamp vegetation using an unmanned aerial vehicle-hyperspectral system |
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Article Category | Article |
Authors | Banerjee, Bikram Pratap, Raval, Simit and Cullen, Patrick Joseph |
Journal Title | Journal of Spectral Imaging |
Journal Citation | 6 (1) |
Article Number | a6 |
Number of Pages | 8 |
Year | 2017 |
Publisher | IM Publications |
Place of Publication | United Kingdom |
ISSN | 2040-4565 |
Digital Object Identifier (DOI) | https://doi.org/10.1255/jsi.2017.a6 |
Web Address (URL) | https://www.impopen.com/jsi-abstract/I06_a6 |
Abstract | Mapping of vegetation species and communities in sensitive ecosystems is essential for identification and management of anthropogenic impacts. Unmanned aerial vehicle (UAV)-hyperspectral systems are among the latest technologies in remote sensing that hold a potential for obtaining unprecedented quality of remote sensing data for vegetation mapping and health status monitoring applications. In this study, high-resolution (1–1.5 cm) spectral imaging data (15 bands) from a tunable spectrometer is used to map five species of vegetation in a complex upland swamp environment. The overall accuracy of classification was found to be 88.9% with a kappa coefficient of 0.83. Three classes (bare earth, sedgeland grass and black sheoak) have achieved higher accuracy (above 78%) and one class (bracken fern) has lower accuracy (58%). UAV-hyperspectral technology is, therefore, an effective tool to identify and map sensitive swamp vegetation. The technology can be potentially applied to determine the health status of the species. |
Keywords | UAV; hyperspectral; sensitive species; upland swamps |
ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
410402. Environmental assessment and monitoring | |
Byline Affiliations | University of New South Wales |
https://research.usq.edu.au/item/z309q/high-resolution-mapping-of-upland-swamp-vegetation-using-an-unmanned-aerial-vehicle-hyperspectral-system
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License: CC BY 4.0 | ||
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