Application of aerial photography with visible atmospherically resistant index by using unmanned aerial vehicles for seagrass bed classification in Kung Krabaen Bay, Thailand
- Published
- Accepted
- Subject Areas
- Natural Resource Management, Environmental Impacts
- Keywords
- Seagrass, Remote sensing, Water resources, Aerial photograph, VARI, UAV
- Copyright
- © 2018 Chayhard et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Application of aerial photography with visible atmospherically resistant index by using unmanned aerial vehicles for seagrass bed classification in Kung Krabaen Bay, Thailand. PeerJ Preprints 6:e27407v1 https://doi.org/10.7287/peerj.preprints.27407v1
Abstract
The aim of this research was to study seagrass classification by using aerial photography with Visible Atmospherically Resistant Index (VARI) in the Kung Krabaen Bay, Chanthaburi, Thailand, which covers an area of 5.59 km2 and has an average depth of 2.5 m in the shallow zone. The classification based on VARI resulted in three classes, namely (i) long-leaved species (E. acoroides), (ii) short-leaved species (H. pinifolia and H. uninervis), and (iii) other objects. Results showed that aerial photographs could clearly differentiate seagrass species having different digital number value ranges with the VARI approach. The overall accuracy of visual interpretation (86.36%) was higher than that of supervised classification (46.97%). This technique could be useful for seagrass species mapping in other areas. The results also showed that H. pinifolia and H. uninervis were distributed on sandy clay and seashell substrates while E. acoroides was distributed only on sandy areas.
Author Comment
This is a submission to PeerJ for review.