TU2.R2: Retrieval of Water's Bio-optical Properties
Tuesday, 11 August, 11:00 - 12:15
Location: Northwest
Session Type: Oral
Track: Oceans
Tue, 11 Aug, 11:00 - 11:15

TU2.R2.1: Improving the Near Infrared to Red band ratio Algorithms for Remote Sensing Estimation of Chlorophyll-a in Highly Turbid Coastal Waters

Behnaz Arabi, Meng Lu, University of Bayreuth, Germany; Masoud Moradi, Iranian National Institute of Oceanography and Atmospheric Science, Iran
Tue, 11 Aug, 11:15 - 11:30

TU2.R2.2: Dissolved organic matter dynamics in a large river-dominated coastal margin from PACE-OCI using an adaptive quasi-analytic algorithm

Eurico D'Sa, Louisiana State University, United States; Bingqing Liu, Florida State University, United States; Nabid Hashar, Louisiana State University, United States
Tue, 11 Aug, 11:30 - 11:45

TU2.R2.3: Modeling Satellite-Inferred Chlorophyll Variability with SHAP-Interpretable Machine Learning

Jing Tan, Robert Frouin, Scripps Institution of Oceanography, United States
Tue, 11 Aug, 11:45 - 12:00

TU2.R2.4: Robust daily satellite sea surface salinity reconstruction using deep learning in low-salinity coastal regions

Sihun Jung, So-Hyun Kim, Ulsan National Institute of Science and Technology, Korea (South); Eunna Jang, Korea Institute of Ocean Science and Technology, Korea (South); Jaese Lee, Daehyeon Han, Jungho Im, Ulsan National Institute of Science and Technology, Korea (South)