Coordinating in situ lake sampling with satellite acquisition days provides a mechanism for addressing data scarcity: a case study from Lake Yojoa, Honduras

Abstract: Aim In this study, we present the results of a project which used Landsat Collection 2 Surface Reflectance data and European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) data to develop a machine learning model to estimate Secchi depth in Lake Yojoa, Honduras. M...

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Bibliographic Details
Published in:Acta Limnologica Brasiliensia
Main Authors: Jemma Fadum, Bethel Steele, Matthew Ross, Mia Groff, Ed Hall
Format: Article
Language:English
Published: Associação Brasileira de Limnologia 2025-02-01
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-975X2025000101000&lng=en&tlng=en