Drone-borne sensing of major and accessory pigments in algae using deep learning modeling

Drone-borne sensing of major and accessory pigments in algae using deep learning modeling

Intensive algal blooms increasingly degrade the inland water quality. Hence, this study aimed to analyze the algal phenomena quantitatively and qualitatively using synoptic monitoring, algal pigment analysis, and a deep learning model. Water surface reflectance was measured using field monitoring an...

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Bibliographic Details
Main Authors: JongCheol Pyo, Seok Min Hong, Jiyi Jang, Sanghun Park, Jongkwan Park, Jae Hoon Noh, Kyung Hwa Cho
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:GIScience & Remote Sensing
Subjects:
algal bloom
convolutional neural network
drone-borne sensing
hyperspectral images
accessory pigments
Online Access:http://dx.doi.org/10.1080/15481603.2022.2027120

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