ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING

11 citations as recorded by crossref.

1. A method for estimating particulate organic carbon at the sea surface based on geodetector and machine learning H. Wu et al. 10.3389/fmars.2023.1295874
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5. A CNN–LSTM Machine-Learning Method for Estimating Particulate Organic Carbon from Remote Sensing in Lakes B. Pan et al. 10.3390/su151713043
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8. Real-time quality control of optical backscattering data from Biogeochemical-Argo floats G. Dall'Olmo et al. 10.12688/openreseurope.15047.1
9. The Oceans’ Biological Carbon Pumps: Framework for a Research Observational Community Approach H. Claustre et al. 10.3389/fmars.2021.780052
10. Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean M. Galí et al. 10.5194/bg-19-1245-2022
11. Real-time quality control of optical backscattering data from Biogeochemical-Argo floats G. Dall'Olmo et al. 10.12688/openreseurope.15047.2