Predicting Cyanobacterial Blooms Using Hyperspectral Images in a Regulated River

Predicting Cyanobacterial Blooms Using Hyperspectral Images in a Regulated River

Process-based modeling for predicting harmful cyanobacteria is affected by a variety of factors, including the initial conditions, boundary conditions (tributary inflows and atmosphere), and mechanisms related to cyanobacteria growth and death. While the initial conditions do not significantly affec...

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Bibliographic Details
Main Authors: Jung Min Ahn, Byungik Kim, Jaehun Jong, Gibeom Nam, Lan Joo Park, Sanghyun Park, Taegu Kang, Jae-Kwan Lee, Jungwook Kim
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
water quality modeling
hyperspectral image
cyanobacterial bloom
Phytoplankton functional group
environmental fluid dynamics code
Online Access:https://www.mdpi.com/1424-8220/21/2/530

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https://www.mdpi.com/1424-8220/21/2/530

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