Remote sensing as input and validation tool for oil spill drift modeling

Björn Baschek; Stephan Dick; Frank Janssen; Carina Kübert; Silvia Massmann; Marlon Pape; Michael Roers

doi:10.1117/12.898150

7 October 2011 Remote sensing as input and validation tool for oil spill drift modeling

Björn Baschek, Stephan Dick, Frank Janssen, Carina Kübert, Silvia Massmann, Marlon Pape, Michael Roers

Proceedings Volume 8175, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011; 81750A (2011) https://doi.org/10.1117/12.898150
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

Remote sensing by aerial surveillance and from satellites is used operationally as a combined tool for detection and characterization of maritime pollution by oil spills. For Germany, the Central Command for Maritime Emergencies (CCME) applies two aircraft of the type Dornier 228 with multi-sensor systems. In addition, radar satellite images are received via the CleanSeaNet Service. By these means, important information is gained as a support for oil spill response and for advanced monitoring: Among other things the existence, location and distribution of spills are delivered. This is valuable input for numerical models for drift prediction. As part of the German "DeMarine-Environment" project a prototype for a processing chain has been developed, validated and tested quasi operationally by the Federal Institute of Hydrology (BfG) in cooperation with the Federal Maritime and Hydrographic Agency (BSH). In this way, a partly automatic coupling of remote sensing and operational drift modelling has been realized. By using this prototype, a method for drift model validation was developed: Chains of several observations by satellite or aircraft of one individual spill are compared to the results of the drift prognosis started from the first observation.

Citation Download Citation

Björn Baschek, Stephan Dick, Frank Janssen, Carina Kübert, Silvia Massmann, Marlon Pape, and Michael Roers "Remote sensing as input and validation tool for oil spill drift modeling", Proc. SPIE 8175, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, 81750A (7 October 2011); https://doi.org/10.1117/12.898150

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KEYWORDS

Data modeling

Remote sensing

Satellites

Radar

Sensors

Particles

Pollution

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