Developing a New Machine-Learning Algorithm for Estimating Chlorophyll-a Concentration in Optically Complex Waters: A Case Study for High Northern Latitude Waters by Using Sentinel 3 OLCI

• Published in: Remote Sensing
• Main Authors: Katalin Blix, Juan Li, Philippe Massicotte, Atsushi Matsuoka
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2019
• Subjects: ocean color monitoring; Chlorophyll-a; machine-learning; arctic; Sentinel 3 OLCI; Science; Q; Arctic; The Sentinel; Sea ice
• Online Access: https://doi.org/10.3390/rs11182076; https://doaj.org/article/c1720fbcfad04ecbb317604d1a68f473

The monitoring of Chlorophyll-a (Chl-a) concentration in high northern latitude waters has been receiving increased focus due to the rapid environmental changes in the sub-Arctic, Arctic. Spaceborne optical instruments allow the continuous monitoring of the occurrence, distribution, and amount of Ch...