TU3.R2: Bloom Detection and Others
Tuesday, 11 August, 13:45 - 15:00
Location: Northwest
Session Type: Oral
Track: Oceans
Tue, 11 Aug, 13:45 - 14:00

TU3.R2.1: SATELLITE-DRIVEN MACHINE LEARNING FRAMEWORK FOR SPATIO-TEMPORAL ALGAL BLOOM FORECASTING IN THE INDIAN EXCLUSIVE ECONOMIC ZONE

PUNYA P, RAMA RAO NIDAMANURI, Indian Institute of Space science and Technology
Tue, 11 Aug, 14:00 - 14:15

TU3.R2.2: SURFACE CLUSTERING OF BIOARGO FLOATS DELINEATES THE VERTICAL STRUCTURE OF PHYTOPLANKTON IN THE ATLANTIC BASIN

Greg Silsbe, University of Maryland Center for Environmental Science; Ratnaksha Lele, University of Maryland Baltimore County; Victoria Coles, Xiaoxu Guo, University of Maryland Center for Environmental Science; Sai Vikas Amaraneni, University of Maryland Baltimore County; Sairah Malkin, University of Maryland Center for Environmental Science; Vandana Janeja, University of Maryland Baltimore County
Tue, 11 Aug, 14:15 - 14:30

TU3.R2.3: USING BIASES IN SCATTEROMETER DATA TO TRACK ASSOCIATED BIOLOGICAL SIGNALS OF BIOLUMINESCENT MILKY SEAS

Justin Hudson, Steven Miller, Colorado State University
Tue, 11 Aug, 14:30 - 14:45

TU3.R2.4: PHYSICS-GUIDED PROBABILISTIC RED TIDE DETECTION FOR GOCI-II

Jong Hyuk Lee, Seungil Baek, Sooyoon Koh, Pusan National university; Jae-Hyun Ahn, Korea Institute of Ocean Science and Technology, Republic of Korea; Wonkook Kim, Pusan National university
Tue, 11 Aug, 14:45 - 15:00

TU3.R2.5: Information Theory-Based Causal Analysis Applied to Ocean Satellite Data

Kazuki Kohyama, Kirara Kotani, Takashi Kobayashi, Helen Stewart, Rin Irie, Masaki Hisada, NTT, Inc.