Empirical model for salinity assessment on lacustrine and coastal waters by remote sensing

Gabriele Bitelli; Pietro V. Curzi; Enrico Dinelli; Emanuele Mandanici

doi:10.1117/12.898277

26 October 2011 Empirical model for salinity assessment on lacustrine and coastal waters by remote sensing

Gabriele Bitelli, Pietro V. Curzi, Enrico Dinelli, Emanuele Mandanici

Author Affiliations +

Proceedings Volume 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II; 818119 (2011) https://doi.org/10.1117/12.898277
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

The assessment of surface water salinity is a long standing feature request for water quality assessment by remote sensing. The aim of the present work is to test an empirical method for surface water salinity retrieval by means of multispectral satellite images at medium resolution (30 m). For this purpose, two case studies were selected: the first is Lake Qarun (Egypt), the second is an on-shore tract of central Adriatic Sea, located between the mouths of Tronto and Salinello Rivers (Italy). For the experimentation ALI (Advanced Land Imager) and Landsat ETM imagery was collected. Field data were acquired at both sites by means of in situ conductivity measurements, for calibration purpose. The model applied to convert atmospherically corrected reflectance value in practical salinity units (PSU) has been developed analysing the correlation between field data and an expressly defined salinity index. First results show a promising overall correlation (R² = 0.85), even if further work is required to provide a better validation.

Citation Download Citation

Gabriele Bitelli, Pietro V. Curzi, Enrico Dinelli, and Emanuele Mandanici "Empirical model for salinity assessment on lacustrine and coastal waters by remote sensing", Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 818119 (26 October 2011); https://doi.org/10.1117/12.898277

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