University of Twente Student Theses


Remote sensing of suspended particulate matters in Lake Naivasha, Kenya

Kebede, Girma Adera (2011) Remote sensing of suspended particulate matters in Lake Naivasha, Kenya.

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Abstract:Suspended particulate matter (SPM) play a major role in controlling pollutant transport, light penetration depth and the retention capacity of inland lakes. This in turn affects the underwater life cycle and ecology and available water in the lake. In this research Lake Naivasha is selected to study the remote sensing of SPM using MERIS and Landsat data and validated with ground based observations. A semi-empirical algorithm to retrieve suspended particulate matter (SPM) is established and evaluated on MERIS and Landsat ETM+7 data. Calibration of the model with in situ data showed that MERIS bands (708 nm and 778 nm) and Landsat ETM+7 band 3 centred at 660 nm are the most suitable bands for SPM retrieval using the suggested algorithm. Derived values of SPM concentration from MERIS were in a good match to measured concentrations with R2 being above 0.7 and RMSE bellow 0.34 in a logarithmic scale for MERIS. Better results were obtained when validating the model with and Landsat ETM+7 data with R2 being above 0.8 and RMSE bellow 0.1 in a logarithmic scale. This study has shown the capability of single band semi-empirical approach model to retrieve concentration of suspended particulate matters for Lake Naivasha using Landsat ETM+7 images. The algorithm provide therefore a benchmark to process archived Landsat data of the Lake Naivasha and facilities time series analysis of SPM dynamics in the Lake. Keywords: Suspended particulate matter, remote sensing reflectance, Lake Naivasha
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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