**Author details**

Mediterranean region. Future work consists of calibration and validation campaigns of the proposed regression models based on new satellite imagery acquisitions from both sensors.

The development of regression models such as equation 1 and 2, can be used further to determine turbidity values based on the new satellite acquisitions. Indeed, the authors applied equation 1 using simultaneous measurements both from Landsat ETM+ images and ground truth measurements (spectroradiometric and turbidity). It has been found that the determined turbidity values from satellites after the application of the darkest pixel atmospheric correction, were very close to those found from field campaign. For example, for the Landsat ETM+ image acquired on 31st of May 2010, determined turbidity for an area of interest near the Inlet area was 10,40 NTU (after DP atmospheric correction application) and ground truth turbidity value

Using archived satellite images, spatial and temporal variations of water quality in the Outlet and Intlet areas of Asprokremmos Dam were obvious. Such findings were in accordance with those derived by the in-situ campaigns. It is evident that for all samplings the highest values correspond to the Inlet area where the outfall of the Xeros River exists. It is the area where the water flows into the Dam with a result to carry down clay and suspended solids from the Xeros River resulting in increased values of turbidity accompanied with high reflectance values.

The use of an innovative, energy-autonomous floating sensor platform (buoy) which is installed in the Asprokremmos Dam is used to transfer turbidity data wireless. This can assist further to test and calibrate our developed equation as well as to provide alert to the Cyprus

The use of field spectroscopy assisted the retrieval and definition of the suitable spectral regions that correspond to satellite sensors, such as Landsat TM/ETM+ and Proba / CHRIS, in which turbidity can be measured and monitored in water dams in Cyprus. Finally the application of atmospheric correction such as the darkest pixel is an essential step prior to any

We gratefully acknowledge Water Development Department in Cyprus for their technical support during the in-situ measurements. The authors acknowledge the support of the Remote Sensing Laboratory of the Department of Civil Engineering and Geomatics at the Cyprus University of Technology (http:///www.cut.ac.cy). The Remote Sensing Laboratory would like to thank SignalGeneriX Ltd for developing the Wisense® smart data and remote monitoring system. Thanks are given also to European Space Agency (ESA) for the provision of the Proba/

Chris satellite imagery. This work is part of the PhD study of Christiana Papoutsa.

Water Development Department if turbidity values unusually increased.

was 10,04 NTU.

146 Remote Sensing of Environment: Integrated Approaches

**4. Conclusions**

further analysis of satellite imagery.

**Acknowledgements**

Christiana Papoutsa and Diofantos G. Hadjimitsis

Cyprus University of Technology, Faculty of Engineering and Technology, Department of Civil Engineering and Geomatics, Remote Sensing and Geo-Environment Lab, Cyprus
