Large scale survey of seaweed bed using drone
2017
Yamada, M. (National Research Institute of Fisheries Engineering, Japan Fisheries Research and Education Agency, Kamisu, Ibaraki (Japan)) | Watanabe, K. | Nambu, R. | Hoshikawa, H. | Fukuda, H. | Akino, H. | Kajihara, R. | Kuwahara, H. | Moriguchi, A.
We studied the image analysis technique of aerial photographs by drone for the large-scale survey of spatial distribution of seaweed bed. The pixel of aerial photographs of coastal area of Bikuni and Furubira, Hokkaido, were grouped to 7 elements (three species of seaweed, sand bottom, sandy shore, rock bottom and rocky shore) by the supervised classification which used the field observation data of seaweed distribution and bottom materials as teachers. It was possible to estimate the seaweed distribution at the area shallower than 3 m in water depth. For estimation at the area deeper than 3 m in water depth, it is necessary to correct the color tone of aerial photographs.
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