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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954124005302 |
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