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Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 13
作者:  Wang, Yueqi;  Liu, Dongyan;  Wang, Yujue;  Gao, Meng;  Gao, Zhiqiang
收藏  |  浏览/下载：26/0  |  提交时间：2024/05/23
Sea measurements  Pigments  Phytoplankton  Oceans  Satellites  Remote sensing  Ocean temperature  Abundance-based model  Bohai and Yellow Seas (BYS)  high-performance liquid chromatography (HPLC)-measured pigment  phytoplankton size classes (PSCs)  remote sensing  sea surface temperature (SST)-dependent  
Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 13
作者:  Wang, Yueqi;  Liu, Dongyan;  Wang, Yujue;  Gao, Meng;  Gao, Zhiqiang
收藏  |  浏览/下载：26/0  |  提交时间：2024/05/23
Sea measurements  Pigments  Phytoplankton  Oceans  Satellites  Remote sensing  Ocean temperature  Abundance-based model  Bohai and Yellow Seas (BYS)  high-performance liquid chromatography (HPLC)-measured pigment  phytoplankton size classes (PSCs)  remote sensing  sea surface temperature (SST)-dependent  
Evaluation of standard and regional satellite chlorophyll-a algorithms for moderate-resolution imaging spectroradiometer (MODIS) in the Bohai and Yellow Seas, China: a comparison of chlorophyll-a magnitude and seasonality 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2019, 卷号: 40, 期号: 13, 页码: 4980-4995
作者:  Wang, YQ;  Liu, DY;  Wang, YJ;  Gao, ZQ;  Keesing, JK
浏览  |  Adobe PDF(3266Kb)  |  收藏  |  浏览/下载：531/229  |  提交时间：2020/07/08
OCEAN-COLOR PRODUCTS  ATMOSPHERIC CORRECTION ALGORITHMS  SEAWIFS  MODEL  VARIABILITY  VALIDATION  RETRIEVAL  TRENDS  MERIS  SWIR  
Multivariate DINEOF Reconstruction for Creating Long-Term Cloud-Free Chlorophyll-a Data Records From SeaWiFS and MODIS: A Case Study in Bohai and Yellow Seas, China 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 5, 页码: 1383-1395
作者:  Wang, YQ;  Gao, ZQ;  Liu, DY
浏览  |  Adobe PDF(7203Kb)  |  收藏  |  浏览/下载：533/197  |  提交时间：2020/07/08
Multisensor data records  multivariable data interpolating empirical orthogonal functions (M-DINEOF) reconstruction  satellite chlorophyll-a product  trend consistency