Publications

Delgado, Ana L.; Jamet, Cedric; Loisel, Hubert; Vantrepotte, Vincent; Perillo, Gerardo M. E.; Cintia Piccolo, M. (2014). Evaluation of the MODIS-Aqua Sea-Surface Temperature product in the inner and mid-shelves of southwest Buenos Aires Province, Argentina. INTERNATIONAL JOURNAL OF REMOTE SENSING, 35(1), 306-320.

Abstract
Validation of sea-surface temperature (SST) provided by the MODIS-Aqua sensor (Moderate Resolution Imaging Spectroradiometer) for the inner and mid-shelves of the southwest of Buenos Aires Province (Argentina), is presented for the first time. In situ data obtained with a multi-parametric sonde YSI-6600 and a CTD SBE91 between 2002 and 2011 are used for comparison with the satellite SST product. The match-up exercise was established after comparing different spatial boxes, time difference windows, wind speeds, and also a coefficient of variation. The comparison exercise was made in the coastal zone and the rest of the inner and mid-shelves separately. In the coastal zone, applying a 3x2 pixel box and a time window of +/- 3 hours led to the most accurate results, with a coefficient of determination (R-2) of 0.99, a bias of 0.62 degrees C, and a root-mean-square-error (RMSE) of 0.79 degrees C. In the inner-mid-shelves when applying a coefficient of variability<0.3, a time window of +/- 3 hours, and taking only values of wind speed>6ms(-1), R-2 is 0.97, bias is 0.46 degrees C, and RMSE is 0.95 degrees C. Wind speed plays a major role in the inner-mid-shelves as the SST product is affected by stratification and formation of a diurnal thermocline in the skin and sub-skin layer' when wind speed is below 6ms(-1). The results for the two shelves are very similar. Finally, the spatial and temporal variability of the SST satellite product was analysed in the study area for the period August 2002-December 2010. The results show that inter-annual variability is not significant and that there is no positive or negative trend for the 9years of the study. Seasonality is the main component of temporal variability, with variation in amplitude signal depending on bathymetry changes, physical forcing, stability of the water column, and presence of flood plains.

DOI:
10.1080/01431161.2013.870680

ISSN:
0143-1161; 1366-5901