- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1432-0703
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Challenges to Oil Spill Assessment for Seabirds in the Deep Ocean ; volume:73 ; number:1 ; day:10 ; month:7 ; year:2017 ; pages:33-39 ; date:7.2017
Archives of environmental contamination and toxicology ; 73, Heft 1 (10.7.2017), 33-39, 7.2017
- Classification
-
Biowissenschaften, Biologie
- Creator
-
Haney, J. Christopher
- Contributor
-
Jodice, Patrick G. R.
Montevecchi, William A.
Evers, David C.
SpringerLink (Online service)
- DOI
-
10.1007/s00244-016-0355-8
- URN
-
urn:nbn:de:1111-201708035928
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Haney, J. Christopher
- Jodice, Patrick G. R.
- Montevecchi, William A.
- Evers, David C.
- SpringerLink (Online service)
Other Objects (12)
Oil spill statistics and oil spill monitoring : DGMK research report 564
MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES
AUTOMATED MARINE OIL SPILL DETECTION USING DEEP LEARNING INSTANCE SEGMENTATION MODEL
Resolving the dilemma of dispersant use for deep oil spill response
Oil spill statistics and oil spill monitoring : analysis of German and Helcom spill data in order of time and space, introduction of oil spill monitoring by in-service aircraft as new approach
Reducing Oil Spill of ISO Hydraulic Couplers
Characteristic features of different oil types in oil spill identification
Characteristic features of different oil types in oil spill identification
A numerical study of oil spill prediction in the Gulf of Thailand using ocean wave model
Oil spill risk analysis for the NEOM shoreline
Bioremediation of oil spill: concept, methods and applications
Oil spill model uncertainty quantification using an atmospheric ensemble
Oil spill statistics and oil spill monitoring : DGMK research report 564
MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES
AUTOMATED MARINE OIL SPILL DETECTION USING DEEP LEARNING INSTANCE SEGMENTATION MODEL
Resolving the dilemma of dispersant use for deep oil spill response
Oil spill statistics and oil spill monitoring : analysis of German and Helcom spill data in order of time and space, introduction of oil spill monitoring by in-service aircraft as new approach
Reducing Oil Spill of ISO Hydraulic Couplers
Characteristic features of different oil types in oil spill identification
Characteristic features of different oil types in oil spill identification
A numerical study of oil spill prediction in the Gulf of Thailand using ocean wave model
Oil spill risk analysis for the NEOM shoreline
Bioremediation of oil spill: concept, methods and applications
Oil spill model uncertainty quantification using an atmospheric ensemble
Oil spill statistics and oil spill monitoring : DGMK research report 564
MONITORING OIL SPILL PROGRESSION AND OIL SPILL VOLUME USING SATELLITE IMAGES
AUTOMATED MARINE OIL SPILL DETECTION USING DEEP LEARNING INSTANCE SEGMENTATION MODEL
Resolving the dilemma of dispersant use for deep oil spill response
Oil spill statistics and oil spill monitoring : analysis of German and Helcom spill data in order of time and space, introduction of oil spill monitoring by in-service aircraft as new approach
Reducing Oil Spill of ISO Hydraulic Couplers
Characteristic features of different oil types in oil spill identification
Characteristic features of different oil types in oil spill identification
A numerical study of oil spill prediction in the Gulf of Thailand using ocean wave model
Oil spill risk analysis for the NEOM shoreline
Bioremediation of oil spill: concept, methods and applications