Data Reconstruction for Remotely Sensed Chlorophyll-a Concentration in the Ross Sea Using Ensemble-Based Machine Learning

Data Reconstruction for Remotely Sensed Chlorophyll-a Concentration in the Ross Sea Using Ensemble-Based Machine Learning

Polar regions are too harsh to be continuously observed using ocean color (OC) sensors because of various limitations due to low solar elevations, ice effects, peculiar phytoplankton photosynthetic parameters, optical complexity of seawater and persistence of clouds and fog. Therefore, the OC data u...

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Bibliographic Details
Main Authors: Jinku Park, Hyun-Cheol Kim, Dukwon Bae, Young-Heon Jo
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
data reconstruction
chlorophyll-a concentration (CHL)
random forest (RF)
Ross Sea
Antarctica
Online Access:https://www.mdpi.com/2072-4292/12/11/1898

Internet

https://www.mdpi.com/2072-4292/12/11/1898

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