Navigational Hazard

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The Experts below are selected from a list of 45 Experts worldwide ranked by ideXlab platform

Zhe Zeng - One of the best experts on this subject based on the ideXlab platform.

  • IGARSS - Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data
    IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Xiaoqi Wang, Li Jiang, Yanfang Xiao, Kaiqiang Ma, Zhe Zeng
    Abstract:

    Poor visibility by sea fog is a Navigational Hazard for maritime transport. Due to the lack of observation stations on the sea, monitoring large-scale sea fog and assessing navigation risk in foggy season are challenges. Thus, the paper introduced MODIS data for monitoring sea fog and proposed an approach of assessing navigation risk along fairway during foggy season. Sea fog is firstly identified from MODIS images using supervised classifier and then navigation risk along fairway is quantitatively evaluated by means of spatial analysis. Using GIS based Multi-criteria Decision Analysis (MCDA) model, a risk index layer is respectively constructed for various marine environmental factors, which include sea fog, wind, wave and etc. and these risk index layers eventually are integrated into navigation risk assessment layer through the order weighted average (OWA) operator.

  • Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data
    IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Xiaoqi Wang, Li Jiang, Yanfang Xiao, Zhe Zeng
    Abstract:

    Poor visibility by sea fog is a Navigational Hazard for maritime transport. Due to the lack of observation stations on the sea, monitoring large-scale sea fog and assessing navigation risk in foggy season are challenges. Thus, the paper introduced MODIS data for monitoring sea fog and proposed an approach of assessing navigation risk along fairway during foggy season. Sea fog is firstly identified from MODIS images using supervised classifier and then navigation risk along fairway is quantitatively evaluated by means of spatial analysis. Using GIS based Multi-criteria Decision Analysis (MCDA) model, a risk index layer is respectively constructed for various marine environmental factors, which include sea fog, wind, wave and etc. and these risk index layers eventually are integrated into navigation risk assessment layer through the order weighted average (OWA) operator.

Xiaoqi Wang - One of the best experts on this subject based on the ideXlab platform.

  • IGARSS - Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data
    IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Xiaoqi Wang, Li Jiang, Yanfang Xiao, Kaiqiang Ma, Zhe Zeng
    Abstract:

    Poor visibility by sea fog is a Navigational Hazard for maritime transport. Due to the lack of observation stations on the sea, monitoring large-scale sea fog and assessing navigation risk in foggy season are challenges. Thus, the paper introduced MODIS data for monitoring sea fog and proposed an approach of assessing navigation risk along fairway during foggy season. Sea fog is firstly identified from MODIS images using supervised classifier and then navigation risk along fairway is quantitatively evaluated by means of spatial analysis. Using GIS based Multi-criteria Decision Analysis (MCDA) model, a risk index layer is respectively constructed for various marine environmental factors, which include sea fog, wind, wave and etc. and these risk index layers eventually are integrated into navigation risk assessment layer through the order weighted average (OWA) operator.

  • Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data
    IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Xiaoqi Wang, Li Jiang, Yanfang Xiao, Zhe Zeng
    Abstract:

    Poor visibility by sea fog is a Navigational Hazard for maritime transport. Due to the lack of observation stations on the sea, monitoring large-scale sea fog and assessing navigation risk in foggy season are challenges. Thus, the paper introduced MODIS data for monitoring sea fog and proposed an approach of assessing navigation risk along fairway during foggy season. Sea fog is firstly identified from MODIS images using supervised classifier and then navigation risk along fairway is quantitatively evaluated by means of spatial analysis. Using GIS based Multi-criteria Decision Analysis (MCDA) model, a risk index layer is respectively constructed for various marine environmental factors, which include sea fog, wind, wave and etc. and these risk index layers eventually are integrated into navigation risk assessment layer through the order weighted average (OWA) operator.

Yanfang Xiao - One of the best experts on this subject based on the ideXlab platform.

  • IGARSS - Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data
    IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Xiaoqi Wang, Li Jiang, Yanfang Xiao, Kaiqiang Ma, Zhe Zeng
    Abstract:

    Poor visibility by sea fog is a Navigational Hazard for maritime transport. Due to the lack of observation stations on the sea, monitoring large-scale sea fog and assessing navigation risk in foggy season are challenges. Thus, the paper introduced MODIS data for monitoring sea fog and proposed an approach of assessing navigation risk along fairway during foggy season. Sea fog is firstly identified from MODIS images using supervised classifier and then navigation risk along fairway is quantitatively evaluated by means of spatial analysis. Using GIS based Multi-criteria Decision Analysis (MCDA) model, a risk index layer is respectively constructed for various marine environmental factors, which include sea fog, wind, wave and etc. and these risk index layers eventually are integrated into navigation risk assessment layer through the order weighted average (OWA) operator.

  • Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data
    IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Xiaoqi Wang, Li Jiang, Yanfang Xiao, Zhe Zeng
    Abstract:

    Poor visibility by sea fog is a Navigational Hazard for maritime transport. Due to the lack of observation stations on the sea, monitoring large-scale sea fog and assessing navigation risk in foggy season are challenges. Thus, the paper introduced MODIS data for monitoring sea fog and proposed an approach of assessing navigation risk along fairway during foggy season. Sea fog is firstly identified from MODIS images using supervised classifier and then navigation risk along fairway is quantitatively evaluated by means of spatial analysis. Using GIS based Multi-criteria Decision Analysis (MCDA) model, a risk index layer is respectively constructed for various marine environmental factors, which include sea fog, wind, wave and etc. and these risk index layers eventually are integrated into navigation risk assessment layer through the order weighted average (OWA) operator.

Li Jiang - One of the best experts on this subject based on the ideXlab platform.

  • IGARSS - Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data
    IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Xiaoqi Wang, Li Jiang, Yanfang Xiao, Kaiqiang Ma, Zhe Zeng
    Abstract:

    Poor visibility by sea fog is a Navigational Hazard for maritime transport. Due to the lack of observation stations on the sea, monitoring large-scale sea fog and assessing navigation risk in foggy season are challenges. Thus, the paper introduced MODIS data for monitoring sea fog and proposed an approach of assessing navigation risk along fairway during foggy season. Sea fog is firstly identified from MODIS images using supervised classifier and then navigation risk along fairway is quantitatively evaluated by means of spatial analysis. Using GIS based Multi-criteria Decision Analysis (MCDA) model, a risk index layer is respectively constructed for various marine environmental factors, which include sea fog, wind, wave and etc. and these risk index layers eventually are integrated into navigation risk assessment layer through the order weighted average (OWA) operator.

  • Spatially Assessing Navigational Environmental Risk Along Fairway in Foggy Season Exploiting Modis Data
    IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
    Co-Authors: Xiaoqi Wang, Li Jiang, Yanfang Xiao, Zhe Zeng
    Abstract:

    Poor visibility by sea fog is a Navigational Hazard for maritime transport. Due to the lack of observation stations on the sea, monitoring large-scale sea fog and assessing navigation risk in foggy season are challenges. Thus, the paper introduced MODIS data for monitoring sea fog and proposed an approach of assessing navigation risk along fairway during foggy season. Sea fog is firstly identified from MODIS images using supervised classifier and then navigation risk along fairway is quantitatively evaluated by means of spatial analysis. Using GIS based Multi-criteria Decision Analysis (MCDA) model, a risk index layer is respectively constructed for various marine environmental factors, which include sea fog, wind, wave and etc. and these risk index layers eventually are integrated into navigation risk assessment layer through the order weighted average (OWA) operator.

S.v. Nghiem - One of the best experts on this subject based on the ideXlab platform.

  • IGARSS - The secret of the Svalbard sea ice barrier
    IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium 2004. IGARSS '04. Proceedings. 2004, 2004
    Co-Authors: S.v. Nghiem, M.l. Van Woert, Gregory A. Neumann
    Abstract:

    An elongated sea ice feature called the Svalbard sea ice barrier rapidly formed over an area in the Barents Sea to the east of Svalbard posing a significant Navigational Hazard. The secret of this sea ice formation lies in the bottom bathymetry, which governs the distribution of cold Arctic waters masses and sea ice growth

  • The secret of the Svalbard sea ice barrier
    IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
    Co-Authors: S.v. Nghiem, M.l. Van Woert, G. Neumann
    Abstract:

    An elongated sea ice feature called the Svalbard sea ice barrier rapidly formed over an area in the Barents Sea to the east of Svalbard posing a significant Navigational Hazard. The secret of this sea ice formation lies in the bottom bathymetry, which governs the distribution of cold Arctic waters masses and sea ice growth

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