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Sean McCarthy, Summer Crawford, Christopher Wood, Mark D. Lewis, Jason K. Jolliff, Paul Martinolich, Sherwin Ladner, Adam Lawson and Marcos Montes
Here we present a machine-learning-based method for utilizing traditional ocean-viewing satellites to perform automated atmospheric correction of nanosatellite data. These sensor convolution techniques are required because nanosatellites do not usually p...
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Elliot Pachniak, Yongzhen Fan, Wei Li and Knut Stamnes
The Ocean Color?Simultaneous Marine and Aerosol Retrieval Tool (OC-SMART) is a robust data processing platform utilizing scientific machine learning (SciML) in conjunction with comprehensive radiative transfer computations to provide accurate remote sens...
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Qiang Wang, Jinping Wang, Mingmei Xue and Xifeng Zhang
The ocean is of great significance in the climate system, global resources and strategic decision making. With the continuous improvement in remote sensing technology, ocean remote sensing research has increasingly become an important topic for resource ...
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Adam Irwansyah Fauzi, Anjar Dimara Sakti, Balqis Falah Robbani, Mita Ristiyani, Rahiska Tisa Agustin, Emi Yati, Muhammad Ulin Nuha, Nova Anika, Raden Putra, Diyanti Isnani Siregar, Budhi Agung Prasetyo, Atriyon Julzarika and Ketut Wikantika
Blue carbon ecosystems are key for successful global climate change mitigation; however, they are one of the most threatened ecosystems on Earth. Thus, this study mapped the climatic and human pressures on the blue carbon ecosystems in Indonesia using mu...
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Nancy Alvan Romero, Francesca Cigna and Deodato Tapete
The coastline environment and urban areas of Peru overlooking the Pacific Ocean are among the most affected by El Niño-Southern Oscillation (ENSO) events, and its cascading hazards such as floods, landslides and avalanches. In this work, the complete arc...
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Travis A. Smith, Jason K. Jolliff, Nan D. Walker and Stephanie Anderson
Tropical cyclone induced phytoplankton productivity is examined using a tropical cyclone version of the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS®). A four-component Nutrient?Phytoplankton?Detritus biological model is integrated into C...
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Dirk Aurin, Antonio Mannino and David J. Lary
A Global Ocean Carbon Algorithm Database (GOCAD) has been developed from over 500 oceanographic field campaigns conducted worldwide over the past 30 years including in situ reflectances and coincident satellite imagery, multi- and hyperspectral Chromopho...
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Abdiel E. Laureano-Rosario, Erin M. Symonds, Digna Rueda-Roa, Daniel Otis and Frank E. Muller-Karger
Enterococci concentration variability at Escambron Beach, San Juan, Puerto Rico, was examined in the context of environmental conditions observed during 2005?2015. Satellite-derived sea surface temperature (SST), turbidity, direct normal irradiance, and ...
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Peng Zhang, Onyx W.H. Wai, Xiaoling Chen, Jianzhong Lu and Liqiao Tian
Numerical models being one of the major tools for sediment dynamic studies in complex coastal waters are now benefitting from remote sensing images that are easily available for model inputs. The present study explored various methods of integrating remo...
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