Embodiments relate generally to marine geophysical surveying. More particularly, embodiments relate to a wax application system for application of a wax coating to a surface of a streamer. An embodiment may comprise a marine geophysical survey system. The marine geophysical survey system may comprise a streamer and a wax application system operable to receive the streamer on deployment and apply a wax coating to the streamer as the streamer is being deployed from a survey vessel into a body of water.

Embodiments relate generally to marine geophysical surveying. More particularly, embodiments relate to a wax application system for application of a wax coating to a surface of a streamer. An embodiment may comprise a marine geophysical survey system. The marine geophysical survey system may comprise a streamer and a wax application system operable to receive the streamer on deployment and apply a wax coating to the streamer as the streamer is being deployed from a survey vessel into a body of water.

An observer measures a flow velocity of sea surface with beam, and a coastal wave height. A predictor predicts a next time state vector, from a state vector including flow velocity of each range cell of beam, a wave height difference between range cells, and a coastal wave height. First calculator calculates a prediction error covariance matrix from a smoothing error covariance matrix. Second calculator calculates a gain matrix using results obtained by the observer and the first calculator. Third calculator calculates a smoothing error covariance matrix using results by the observer, the second calculator, and the first calculator. The state vector is smoothed for each wave height difference, from results by the observer, the predictor, and the second calculator. The wave height of each range cell is calculated by adding the wave height and the wave height difference in toward-offshore direction, using the wave height difference smoothing.

An observer measures a flow velocity of sea surface with beam, and a coastal wave height. A predictor predicts a next time state vector, from a state vector including flow velocity of each range cell of beam, a wave height difference between range cells, and a coastal wave height. First calculator calculates a prediction error covariance matrix from a smoothing error covariance matrix. Second calculator calculates a gain matrix using results obtained by the observer and the first calculator. Third calculator calculates a smoothing error covariance matrix using results by the observer, the second calculator, and the first calculator. The state vector is smoothed for each wave height difference, from results by the observer, the predictor, and the second calculator. The wave height of each range cell is calculated by adding the wave height and the wave height difference in toward-offshore direction, using the wave height difference smoothing.

The generation of electronic notifications relating to ocean waves. Embodiments include frameworks and methodologies configured to enable real-time location-specific determination of recreationally relevant wave characteristic data, including (bot not limited to) generation and delivery of location-specific ocean wave notifications. Embodiments include, by way of example, technology for providing real-time location-specific determination of recreationally relevant wave characteristic data, portable and/or wearable devices configured to deliver notifications in respect of approaching waves, wave monitoring devices and frameworks configured to enable generation of alert notifications for surfers, rock fishers and other recreational users, and generation and delivery of location-specific ocean wave data, including visual data for event broadcasts.

The generation of electronic notifications relating to ocean waves. Embodiments include frameworks and methodologies configured to enable real-time location-specific determination of recreationally relevant wave characteristic data, including (bot not limited to) generation and delivery of location-specific ocean wave notifications. Embodiments include, by way of example, technology for providing real-time location-specific determination of recreationally relevant wave characteristic data, portable and/or wearable devices configured to deliver notifications in respect of approaching waves, wave monitoring devices and frameworks configured to enable generation of alert notifications for surfers, rock fishers and other recreational users, and generation and delivery of location-specific ocean wave data, including visual data for event broadcasts.

The LIDAR apparatus disclosed in this application provides a capability, when deployed on airborne platforms, to increase area search rates to over 1000 square kilometers per hour which is an increase of over a factor of 100 better than the current state of the art. This apparatus operates in the SWIR and Blue-green spectral bands and provides a capability to detect and recognize small objects on the land and sea surface and below the sea surface.

The LIDAR apparatus disclosed in this application provides a capability, when deployed on airborne platforms, to increase area search rates to over 1000 square kilometers per hour which is an increase of over a factor of 100 better than the current state of the art. This apparatus operates in the SWIR and Blue-green spectral bands and provides a capability to detect and recognize small objects on the land and sea surface and below the sea surface.

Disclosed is a composite hydrological monitoring system, in which a counterweight component and a test component are respectively connected to both opposite ends of a strip and a plurality of sensors are disposed at different vertical positions. Accordingly, the scour depth can be measured by sensing the location of the counterweight component, whereas the water level and/or flow velocity can be determined by signals from the sensors. When the counterweight component moves downward with sinking of the riverbed, the strip would be pulled down and thus causes the test component to present a change in mechanical energy. Accordingly, the sinking depth can be measured by sensing the change of the mechanical energy. Additionally, since the water level variation would cause signal changes of the sensors arranged in a row along a vertical direction, the change of water level can be determined accordingly.

A wake test instrumentation and more particularly, systems and methods for determining wake velocities and directions are provided. The wake test instrument includes a linkage system mounted to a base and a pole pivotally mounted to the linkage system and which comprises a hydrofoil system. The wake test instrument further includes a hydrofoil system mounted to the pole. The wake test instrument further includes a water flow meter mounted to the pole which is structured to measure wake parameters.