Atmospheric corrections and multi-conditional algorithm for multi-sensor remote sensing of suspended particulate matter in low-to-high turbidity levels coastal waters
1. Introduction
2. Materials and methods
2.1. Study areas
2.2. Multi-conditional SPM algorithm development
2.3. Satellite data and atmospheric correction
2.4. Multi-conditionnal SPM algorithm validation
3. Results and discussion
3.1. Atmospheric corrections
3.2. OLI-VIIRS comparison
3.3. Multi-conditional SPM algorithm
4. Conclusions and perspectives
References
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