[article]
| Titre : |
Small unmanned aircraft: precise and convenient new tools for surveying wetlands |
| Type de document : |
Imprimé |
| Auteurs : |
Dominique Chabot ; David M. Bird |
| Année de publication : |
2013 |
| Article en page(s) : |
15-24 |
| Catégories : |
[CBNPMP-Thématique] Télédétection
|
| Résumé : |
Unmanned aircraft systems (UAS) could be of benefit for surveying wetlands, which often have spatially complex habitats that are challenging to navigate and assess at ground level. We used a small UAS to acquire aerial imagery and characterize land cover in a 128 ha wetland impoundment as part of a conservation study of the least bittern (Ixobrychus exilis). The method was successful in gathering sub-decimetre georeferenced imagery that clearly revealed the fine-scale water–vegetation interface and in which several types of vegetation could be distinguished and classified using spectral image analysis software. Simplified three-category land cover classifications obtained in this manner showed strong agreement with manual classification of random points in the imagery, as evidenced by a kappa coefficient of 87.19% (n = 600). Compared to cover estimates made during concurrent ground-based surveys in 30 sampling plots, UAS data yielded overall similar water–vegetation ratios, but proved more effectual for detecting small amounts of highly interspersed water. Significant differences (p = 0.004) in cover estimates of the dominant vegetation, cattail, were likely primarily due to limitations of ground-based surveys. Given the effective and convenient application of a UAS in this study, we recommend their further use in wetland-related research and management. |
| Identifiant : |
DOI : 10.1139/juvs-2013-0014  |
| Permalink : |
https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=151555 |
in Journal of unmanned vehicle systems > 1 (2013) . - 15-24
Chabot, D., Bird, D.M.,
2013
. Small unmanned aircraft: precise and convenient new tools for surveying wetlands.
Journal of unmanned vehicle systems, 1: 15-24.
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