@conference{Tsapanou2017,
title = {Estimating Suspended Particles Concentrations using Satellite and in-situ Ocean Colour Measurements in the Region of Fresh Water Influence of River Evros},
author = {A. Tsapanou and P.G. Drakopoulos and E. Oikonomou and S. Poulos},
url = {https://www.researchgate.net/publication/317358294_Estimating_Suspended_Particles_Concentrations_using_Satellite_and_in-situ_Ocean_Color_Measurements_in_the_Region_of_Fresh_Water_Influence_of_River_Evros_-_North_Aegean_Sea_Greece},
year = {2017},
date = {2017-05-15},
address = {Lisbon Portugal},
organization = {3rd International Ocean Colour Science meeting},
abstract = {This study investigates the potential of remotely sensed data to map surface suspended particulate matter (SPM) in the Continental shelf area of the North-East Aegean in Greece, by using Landsat-8 satellite sensor. Initially, simultaneous above water ocean color measurements were validated against SPM field data and compared to a concurrent Landsat-8 image, obtained on low river discharge period (June 2016). The satellite imagery was atmospherically corrected and Landsat-8 Surface Reflectance data were generated from: the Landsat Surface Reflectance Code (LaSRC) provided by US Geological Survey and the FLAASH algorithm within the ENVI software. In both cases, the computed remote sensing reflectances (Rrs) from Landsat-8 are converted into SPM by adopting an algorithm based on single band analysis. After validation, the optical in-situ reflectances are correlated to Sentinel-2A corresponding spectral responses, thus leading to a single value for each band. A comparison between Landsat-8 estimations of SPM and concurrent optical measurements at 11 stations indicates that satellite-derived concentrations tend to overestimate sea-truth. Image processing through ENVI & USGS shows 83% correlation, whereas the best linear correlation (90%) is observed between optical and USGS-derived values. The Sentinel-2A optical responses are quite similar to those of Landsat-8. We further discuss the improvements required in coupled studies of SPM retrieval within the coastal zone, the relationship between the examined remote sensors, as well as the necessity to evaluate the Sentinel-2A imagery performance, not only at surface but within the water column using in-situ measurements.},
note = {15-19 Μay},
keywords = {Evros, ocean colour, river, satellite, water},
pubstate = {published},
tppubtype = {conference}
}
This study investigates the potential of remotely sensed data to map surface suspended particulate matter (SPM) in the Continental shelf area of the North-East Aegean in Greece, by using Landsat-8 satellite sensor. Initially, simultaneous above water ocean color measurements were validated against SPM field data and compared to a concurrent Landsat-8 image, obtained on low river discharge period (June 2016). The satellite imagery was atmospherically corrected and Landsat-8 Surface Reflectance data were generated from: the Landsat Surface Reflectance Code (LaSRC) provided by US Geological Survey and the FLAASH algorithm within the ENVI software. In both cases, the computed remote sensing reflectances (Rrs) from Landsat-8 are converted into SPM by adopting an algorithm based on single band analysis. After validation, the optical in-situ reflectances are correlated to Sentinel-2A corresponding spectral responses, thus leading to a single value for each band. A comparison between Landsat-8 estimations of SPM and concurrent optical measurements at 11 stations indicates that satellite-derived concentrations tend to overestimate sea-truth. Image processing through ENVI & USGS shows 83% correlation, whereas the best linear correlation (90%) is observed between optical and USGS-derived values. The Sentinel-2A optical responses are quite similar to those of Landsat-8. We further discuss the improvements required in coupled studies of SPM retrieval within the coastal zone, the relationship between the examined remote sensors, as well as the necessity to evaluate the Sentinel-2A imagery performance, not only at surface but within the water column using in-situ measurements.
