Mapping of green tide using true color aerial photographs taken from a unmanned aerial vehicle

Fuxiang Xu; Zhiqiang Gao; Xiaopeng Jiang; Jicai Ning; Xiangyu Zheng; Debin Song; Jinquan Ai; Maosi Chen

doi:10.1117/12.2271724

1 September 2017 Mapping of green tide using true color aerial photographs taken from a unmanned aerial vehicle

Fuxiang Xu, Zhiqiang Gao, Xiaopeng Jiang, Jicai Ning, Xiangyu Zheng, Debin Song, Jinquan Ai, Maosi Chen

Proceedings Volume 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV; 104050M (2017) https://doi.org/10.1117/12.2271724
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

In recent years, satellite remote sensing have been widely used in dynamic monitoring of Green Tide. However, the images captured by unmanned aerial vehicles (UAV) are rarely used in floating green tide monitoring. In this paper, a quad-rotor unmanned aerial vehicle was used to mapping the coverage of green tide on the seabeach in Haiyang with three algorithms based on RGB image.The conclusions are as follows: there is discrepancy in both maximum value band among RGB and the difference in the green band for a true color aerial photograph taken from a UAV; the best index for floating green tide mapping on seabeach is GLI. It is possible to have a comprehensive, objective and scientific understanding of the floating green tide mapping with aid of UAV based on RGB image in the seabeach.

Citation Download Citation

Fuxiang Xu, Zhiqiang Gao, Xiaopeng Jiang, Jicai Ning, Xiangyu Zheng, Debin Song, Jinquan Ai, and Maosi Chen "Mapping of green tide using true color aerial photographs taken from a unmanned aerial vehicle", Proc. SPIE 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV, 104050M (1 September 2017); https://doi.org/10.1117/12.2271724

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