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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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Associação Brasileira de Limnologia
2025-02-01
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| Schriftenreihe: | Acta Limnologica Brasiliensia |
| Schlagworte: | |
| Online-Zugang: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-975X2025000101000&lng=en&tlng=en |
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