Record nummer 2282049
Titel Eutrophication prediction in the Dutch coastal waters using remote sensing data and machine learning
Auteur(s) Chatzopoulos Vouzoglanis, K.
Uitgever Delft : TU Delft
Jaar van uitgave 2019
Pagina's 120 p
Online full text
Publicatie type Studentenverslag
Taal Engels
Toelichting (Engels) Eutrophication processes in coastal waters are becoming more prominent as a result of high nutrient discharges from intensive agriculture and increased urban waste. These processes can be devastating for local ecosystems and lead to dissolved oxygen depletion, which applies considerable stress on aquatic organisms. For ecosystems to preserve their status, stop and reverse the negative effects of eutrophication, regular estimation of corresponding indicators has to take place. In this direction, mostly process-driven models have been used, but the presented project argues that freely available remote sensing data can also provide useful insights for the oxygen saturation of the water. The proposed methodology uses Sea Surface Temperature and Chlorophyll-a estimations from AQUA and ENVISAT satellite sensors for the period 2003-2011 to predict the dissolved oxygen content in the Dutch coastal waters.
Betrokken instanties Technische Universiteit Delft
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