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RSS FeedsRemote Sensing, Vol. 14, Pages 2409: Marine Litter Detection by Sentinel-2: A Case Study in North Adriatic (Summer 2020) (Remote Sensing)

 
 

17 may 2022 15:08:49

 
Remote Sensing, Vol. 14, Pages 2409: Marine Litter Detection by Sentinel-2: A Case Study in North Adriatic (Summer 2020) (Remote Sensing)
 


Aggregates of floating materials detected in North Adriatic in six Sentinel-2 scenes of August 2020 have been investigated. Most of the floating materials were identified by the chlorophyll red edge and consisted of vegetal materials, probably conveyed by rivers and exchanged with the lagoons. Traces of marine litter were looked for in the spectral anomalies of the Red Edge bands, assuming changes of the red edge in pixels where marine litter was mixed with vegetal materials. About half of the detected patches were unclassified due to the weakness of the useful signal (pixel filling percentage < 25%). The classification produced 59% of vegetal materials, 16% of marine litter mixed with vegetal materials and 22% of intermediate cases. A small percentage (2%) was attributed to submerged vegetal materials, found in isolated patches. The previous percentages were obtained with a separation criterion based on arbitrary thresholds. The patches were more concentrated at the mouths of the northern rivers, less off the Venice lagoon, and very few outside the Po River, with the minimal river outflow during the period. Sentinel-2 is a valid tool for the discrimination of marine litter in aggregates of floating matter. The proposed method requires validation, and the North Adriatic is an excellent site for field work, as in summer many patches of floating matter form in proximity to the coast.


 
116 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 14, Pages 2410: Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection (Remote Sensing)
Remote Sensing, Vol. 14, Pages 2411: A Method of Soil Moisture Content Estimation at Various Soil Organic Matter Conditions Based on Soil Reflectance (Remote Sensing)
 
 
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