Machine and Deep Learning Regression of Chlorophyll-a Concentrations in Lakes Using PRISMA Satellite Hyperspectral Imagery

Machine and Deep Learning Regression of Chlorophyll-a Concentrations in Lakes Using PRISMA Satellite Hyperspectral Imagery

The estimation of Chlorophyll-a concentration is crucial for monitoring freshwater ecosystem health, particularly in lakes, as it is closely linked to eutrophication processes. Satellite imagery enables synoptic and frequent evaluations of Chlorophyll-a in water bodies, providing essential insights...

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Bibliographic Details
Main Authors: Juan Francisco Amieva, Daniele Oxoli, Maria Antonia Brovelli
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
machine learning
deep learning
hyperspectral imagery
PRISMA satellite
Chlorophyll-a
water quality
Online Access:https://www.mdpi.com/2072-4292/15/22/5385

Internet

https://www.mdpi.com/2072-4292/15/22/5385

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