How Accurate Is an Unmanned Aerial Vehicle Data-Based Model Applied on Satellite Imagery for Chlorophyll-a Estimation in Freshwater Bodies?

How Accurate Is an Unmanned Aerial Vehicle Data-Based Model Applied on Satellite Imagery for Chlorophyll-a Estimation in Freshwater Bodies?

Optical sensors are increasingly sought to estimate the amount of chlorophyll a (chl_a) in freshwater bodies. Most, whether empirical or semi-empirical, are data-oriented. Two main limitations are often encountered in the development of such models. The availability of data needed for model calibrat...

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Bibliographic Details
Main Authors: Anas El-Alem, Karem Chokmani, Aarthi Venkatesan, Lhissou Rachid, Hachem Agili, Jean-Pierre Dedieu
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
Sentinel-2
unmanned aerial vehicle
remote sensing
chlorophyll-a
machine learning
ensemble-based system
Online Access:https://www.mdpi.com/2072-4292/13/6/1134

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