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Proceedings Paper

Empirical model for salinity assessment on lacustrine and coastal waters by remote sensing
Author(s): Gabriele Bitelli; Pietro V. Curzi; Enrico Dinelli; Emanuele Mandanici
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Paper 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.

Paper Details

Date Published: 26 October 2011
PDF: 8 pages
Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 818119 (26 October 2011); doi: 10.1117/12.898277
Show Author Affiliations
Gabriele Bitelli, Univ. degli Studi di Bologna (Italy)
Pietro V. Curzi, Univ. degli Studi di Bologna (Italy)
Enrico Dinelli, Univ. degli Studi di Bologna (Italy)
Emanuele Mandanici, Univ. degli Studi di Bologna (Italy)

Published in SPIE Proceedings Vol. 8181:
Earth Resources and Environmental Remote Sensing/GIS Applications II
Ulrich Michel; Daniel L. Civco, Editor(s)

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