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	Ocean water colour retrieval method based on directional polarimetric camera 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 卷号: 45 作者: Pan, Yuwei; Chen, Jingjing; Chen, Feinan; Xiang, Guangfeng; Luo, Donggen \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2024/11/22 Chlorophyll-a concentrations retrieval algorithm band-ratio look-up table remote sensing
	A report on a Moon Jellyfish Aurelia aurita bloom in Sishili Bay, Northern Yellow Sea of China in 2009 期刊论文 OAI收割 AQUATIC ECOSYSTEM HEALTH & MANAGEMENT, 2012, 卷号: 15, 期号: 2, 页码: 161-167 作者: Dong, Zhijun; Liu, Dongyan; Wang, Yujue; Di, Baoping; Song, Xiukai 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/08 Yantai Sishili Bay chlorophyll a concentrations environmental factors
	Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study 会议论文 OAI收割 International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008 Du, Cong; Wang, Shixin; Zhou, Yi; Yan, Fuli 收藏 \| 浏览/下载：32/0 \| 提交时间：2014/12/07 In order to improve the precision of phytoplankton chlorophyll-a (chla) concentration retrieval this study classified the data into two groups (the high and the low) by chla concentration with the threshold of 50gA&bullL-1. And then build the statistical models for each group. Particularly a modifying factor OSS/TSS was used to unmixing the spectra in the low model to improve the low relationship between spectral reflectance and chla concentrations. As a result the concentration classification model allowed estimation of chla with a root mean square error (RMSE) of 21.12gA&bullL-1 and the determination coefficient (R2) was 0.92 comparing with RMSE of chla estimation was 35.72gA&bullL-1 and R2=0.72 in the traditional model. It shows that concentration classification is a helpful method for accurate remote chla retrieval in eutrophic inland waters. 2008 SPIE.