Landsat/IKONOS applied to water quality monitoring in the south of Portugal

Maria Teresa Folgo A Batista; Alexandra Contreiras Colaeo; Sofia Gouleo Capelo; Jose Manuel Branco de Mascarenhas

doi:10.1117/12.462443

17 March 2003 LANDSAT/IKONOS applied to water quality monitoring in south of Portugal

Maria Teresa Folgo A Batista, Alexandra Contreiras Colaeo, Sofia Gouleo Capelo, Jose Manuel Branco de Mascarenhas

Proceedings Volume 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV; (2003) https://doi.org/10.1117/12.462443
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

Alentejo (South of Portugal) water reservoirs have, due to many factors, more probability of suffering eutrophication problems, which makes essential continuous monitoring. These water reservoirs are also one of the main water sources supply for population. A preliminary study concerning the project "LANDSAT / IKONOS Applied to Water Quality Monitoring (LIWQ)" is presented. It aims to develop a water quality monitoring system based on advanced remote sensing techniques for inland water reservoirs, using LANDSAT and IKONOS imagery. In order to determine the trophic state for Alentejo and Algarve most important drinking water reservoirs, we used the empirical approach developed by Palmeirim and Mariano1 and estimated Carlson Trophic State Index2 from chlorophyll and transparency values. This was related with field surveys data. This model was applied to Roxo, Monte Novo, Caia, Vigia, Alvito, Divor and Santa Clara water reservoirs using Landsat 5 TM (year 1997. IKONOS data have four multispectral bands similar to Landsat TM bands 1-4 and high spatial resolution (4 m multispectral and 1 m panchromatic), which is potentially well suited for assessment of small lakes, such as Alentejo water reservoirs.

Citation Download Citation

Maria Teresa Folgo A Batista, Alexandra Contreiras Colaeo, Sofia Gouleo Capelo, and Jose Manuel Branco de Mascarenhas "LANDSAT/IKONOS applied to water quality monitoring in south of Portugal", Proc. SPIE 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV, (17 March 2003); https://doi.org/10.1117/12.462443

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