Multi-task Convolution Neural Network for Season-Insensitive Chlorophyll-A Estimation in Inland Water

Multi-task Convolution Neural Network for Season-Insensitive Chlorophyll-A Estimation in Inland Water

Chlorophyll-a (Chl-a) concentration, a crucial indicator of phytoplankton biomass, is sensitive to seasonality. The variations in trophic states regarding seasonality and the changes of spectral properties of water bodies pose uncertainties to the accuracy of remote sensing semiempirical models. In...

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Bibliographic Details
Main Authors: Manh Nguyen, Chao-Hung Lin, Muhammad Aldila Syariz, Hien Le, Ariel C. Blanco
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Chlorophyll-a (Chl-a)
convolutional neural network (CNN)
inland waters
Sentinel-3 OLCI images
Online Access:https://ieeexplore.ieee.org/document/9565379/

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