Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models

Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models

The application of high spatial resolution remote sensing technology enables the detailed capture of information from water bodies for water quality assessment. In this study, we compare two satellite remote sensing data on water quality assessment, focusing on chlorophyll-a (Chl-a) due to its impor...

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Bibliographic Details
Main Authors: Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Ecological Informatics
Subjects:
Sentinel-2
PlanetScope
Spatial resolution
Chlorophyll-a
Inland water quality
Remote sensing
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124005302
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