Remote Sensing as Input and Validation Tool for Oil Spill Drift Modeling

被引：0

作者：

Baschek, Bjoern ^{[1
]}

Dick, Stephan ^{[2
]}

Janssen, Frank ^{[2
]}

Kuebert, Carina ^{[3
]}

Massmann, Silvia ^{[2
]}

Pape, Marlon ^{[3
]}

Roers, Michael ^{[3
]}

机构：

[1] Fed Inst Hydrol BfG, Mainzer Tor 1, D-56068 Koblenz, Germany

[2] Fed Maritime & Hydrog Agcy, D-20359 Hamburg, Germany

[3] Fed Inst Hydrol BFG, Koblenz, Germany

来源：

REMOTE SENSING OF THE OCEAN, SEA ICE, COASTAL WATERS, AND LARGE WATER REGIONS 2011 | 2011年 / 8175卷

关键词：

Oil spill; remote sensing; drift model; numerical modelling; validation; aerial surveillance; SAR;

D O I：

10.1117/12.898150

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

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.

引用

页数：12

共 15 条

[1]

Bonn, 2009, BONN ARG AER OP HDB

[2]

Dick S., 1990, DTSCH HYDROGRAPH A S, P43

[3]

Dick S., 2002, P 3 R D FOR HLGH DEN

[4]

Dick S., 2001, BERICHTE BSH, P49

[5]

Dorendorf S., 2010, P OC SPAC, P266

[6]

Fay J. A., 1969, Ocean Technology:Oil on the Sea, P53

[7] On the SAR derived alert in the detection of oil spills according to the analysis of the EGEMP [J].

Ferraro, Guido ;

Baschek, Bjoern ;

de Montpellier, Geraldine ;

Njoten, Ove ;

Perkovic, Marko ;

Vespe, Michele .

MARINE POLLUTION BULLETIN, 2010, 60 (01) :91-102

[8]

Fingas M, 2011, OIL SPILL SCIENCE AND TECHNOLOGY: PREVENTION, RESPONSE, AND CLEANUP, P1

[9] Review of oil spill remote sensing [J].

Fingas, MF ;

Brown, CE .

SPILL SCIENCE & TECHNOLOGY BULLETIN, 1997, 4 (04) :199-208

[10] Imaging of biogenic and anthropogenic ocean surface films by the multifrequency/multipolarization SIR-C/X-SAR [J].

Gade, M ;

Alpers, W ;

Huhnerfuss, H ;

Masuko, H ;

Kobayashi, T .

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1998, 103 (C9) :18851-18866

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