On the Potential of Robust Satellite Techniques Approach for SPM Monitoring in Coastal Waters: Implementation and Application over the Basilicata Ionian Coastal Waters Using MODIS‐Aqua
Abstract
:1. Introduction
2. Study Area
3. Material and Methods
3.1. Satellite Data Processing for SPM Daily Maps Retrieval
3.2. The RST Approach for Identification of SPM Spatiotemporal Anomalies
4. Results and Discussion
4.1. Interannual Analysis
4.2. Daily Analysis for the Event of December 2013
4.3. Evaluation of Wind Effect on SPMc Variation
4.4. Confutation Analysis
4.5. Identification of the Most Critical Areas in Terms of SPMc Values
5. Conclusions and Prospective
Acknowledgments
Author Contributions
Conflicts of Interest
References
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SPM (g/m3) | River Level (m) | Wind at Taranto Station (m/s) | |
---|---|---|---|
December 2011 | 1.69 | 1.42 | 4.23 |
December 2012 | 1.29 | 1.26 | 3.65 |
December 2013 | 2.75 | 2.13 | 2.58 |
December 2014 | 1.36 | 0.87 | 2.89 |
December 2015 | 1.20 | 1.03 | 4.61 |
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Di Polito, C.; Ciancia, E.; Coviello, I.; Doxaran, D.; Lacava, T.; Pergola, N.; Satriano, V.; Tramutoli, V. On the Potential of Robust Satellite Techniques Approach for SPM Monitoring in Coastal Waters: Implementation and Application over the Basilicata Ionian Coastal Waters Using MODIS‐Aqua. Remote Sens. 2016, 8, 922. https://doi.org/10.3390/rs8110922
Di Polito C, Ciancia E, Coviello I, Doxaran D, Lacava T, Pergola N, Satriano V, Tramutoli V. On the Potential of Robust Satellite Techniques Approach for SPM Monitoring in Coastal Waters: Implementation and Application over the Basilicata Ionian Coastal Waters Using MODIS‐Aqua. Remote Sensing. 2016; 8(11):922. https://doi.org/10.3390/rs8110922
Chicago/Turabian StyleDi Polito, Carmine, Emanuele Ciancia, Irina Coviello, David Doxaran, Teodosio Lacava, Nicola Pergola, Valeria Satriano, and Valerio Tramutoli. 2016. "On the Potential of Robust Satellite Techniques Approach for SPM Monitoring in Coastal Waters: Implementation and Application over the Basilicata Ionian Coastal Waters Using MODIS‐Aqua" Remote Sensing 8, no. 11: 922. https://doi.org/10.3390/rs8110922