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: Blix, Katalin, Li, Juan, Massicotte, Philippe, Matsuoka, Atsushi
• Format: Article in Journal/Newspaper
• Language: English
• Published: Molecular Diversity Preservation International (MDPI) 2019
• Subjects: VDP::Mathematics and natural science: 400::Physics: 430; VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430; Arctic; The Sentinel; Sea ice
• Online Access: https://hdl.handle.net/10037/17025; https://doi.org/10.3390/rs11182076

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...