remote sensing Article A Novel Method Based on Backscattering for Discriminating Summer Blooms of the Raphidophyte (Chattonella spp.) and the Diatom (Skeletonema spp.) Using MODIS Images in Ariake Sea, Japan Chi Feng 1, Joji Ishizaka 2,* , Katsuya Saitoh 3, Takayuki Mine 4 and Hirokazu Yamashita 5 1 Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan;
[email protected] 2 Institute for Space-Earth Environmental Research (ISEE), Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan 3 Japan Fisheries Information Service Center, 4-5, Toyomicho, Toyomishinko Bldg. 6F., Chuo-ku 104-0055, Japan; ksaitoh@jafic.or.jp 4 Saga Ariake Fisheries Promotion Center, 1-1-59, Jonai, Saga 840-8570, Japan;
[email protected] 5 Kumamoto Prefectural Fisheries Research Center, 1-11-1, Higashisakura, Higashi Ward, Nagoya, Aichi 461-0005, Japan;
[email protected] * Correspondence:
[email protected]; Tel.: +86-052-789-3487 Received: 3 April 2020; Accepted: 4 May 2020; Published: 8 May 2020 Abstract: The raphidophyte Chattonella spp. and diatom Skeletonema spp. are the dominant harmful algal species of summer blooms in Ariake Sea, Japan. A new bio-optical algorithm based on backscattering features has been developed to differentiate harmful raphidophyte blooms from diatom blooms using MODIS imagery. Bloom waters were first discriminated from other water types based on the distinct spectral shape of the remote sensing reflectance Rrs(λ) data derived from MODIS. Specifically, bloom waters were discriminated by the positive value of Spectral Shape, SS (645), which arises from the Rrs(λ) shoulder at 645 nm in bloom waters.