An apparatus for artificial intelligence (AI) bathymetry is disclosed. The apparatus includes a sonic unit attached to a boat, the sonic unit configured to generate a plurality of metric data as a function of a plurality of ultrasonic pulses and a plurality of return pulses. An image processing module is configured to generate a bathymetric image as a function of the plurality of metric data, identify, as a function of the bathymetric image, an underwater landmark, and register the bathymetric image to a map location as a function of the underwater landmark. A communication module is configured to transmit the registered bathymetric image to at least a computing device. An autonomous navigation module is configured to determine a heading for the boat as a function of a path datum and command boat control to navigate the boat as a function of the heading.

Through discrimination of the scattered signal polarization state, a lidar system measures a distance through semi-transparent media by the reception of single or multiple scattered signals from a scattering medium. Combined and overlapped single or multiple scattered light signals from the medium can be separated by exploiting varying polarization characteristics. This removes the traditional laser and detector pulse width limitations that determine the system's operational bandwidth, translating relative depth measurements into the conditions of two surface timing measurements and achieving sub-pulse width resolution.

A vessel load measurement system includes a laser measurement system configured to measure distances and angles by directing a laser of the laser measurement system onto remote laser targets and a controller configured to use the laser measurement system to measure a height of a first laser target placed at a known location on a vessel, obtain pitch and roll measurements of the vessel, and compute at least one vessel corner height based on the measured height of the first laser target at the known location on the vessel, the pitch and roll measurements of the vessel, and known dimensions of the vessel. The first laser target may be part of a jig that can be placed at a known location on the vessel. The jig may include at least one tilt sensor. An additional laser target may be used to measure the water level.

A device and methods of placing the device for indicating tidal water depth is described. The device having a body in a vertical orientation, with a top, bottom, and at least one viewing surface, with a measurement scale of numerals and marks displayed on the at least one viewing surface, where the numerals increase in value in a direction from the bottom towards the top of the body.

A method (100) and system (500) for determining a floe size distribution (350), (516) for a plurality of floes within a geographical area (204), comprising determining a chord length distribution (512) for the geographical area (204), the chord length distribution (512) comprising a plurality of measured floe chord lengths, and determining the floe size distribution (350, 516) over the geographical area (204) based on the chord length distribution (512), the floe size distribution (350, 516) comprising a plurality of floe diameters (402).

A method (100) and system (500) for determining a floe size distribution (350), (516) for a plurality of floes within a geographical area (204), comprising determining a chord length distribution (512) for the geographical area (204), the chord length distribution (512) comprising a plurality of measured floe chord lengths, and determining the floe size distribution (350, 516) over the geographical area (204) based on the chord length distribution (512), the floe size distribution (350, 516) comprising a plurality of floe diameters (402).

Embodiments of the invention relate to methods and systems for measuring water level and water velocity and making predictions and risk assessment calculations. The method consists of several camera and sensor-based water level and water velocity processes that may be selected automatically to estimate the current level and velocity of a water body and predict water conditions by using real-time and historical data. The invention can trigger alarms based on benchmarks and thresholds set automatically using historical data or by the end-user.

In an array-type underwater apparatus for monitoring deformation of a reservoir landslide, an anchor is buried at an underwater monitoring point in a landslide mass, and a floating shell is configured to float on a water surface. A GPS sensor is configured to transmit and receive a GPS signal to obtain a real-time position of the floating shell, a water temperature sensor is used to obtain a water temperature-time relationship, and a gravity wave gauge is used to obtain a wave height-time relationship. An upper end of a pull cord is securely connected to the floating shell via a displacement compensation mechanism, and a lower end of the pull cord is securely connected to the anchor. The displacement compensation mechanism compensates for a displacement after the floating shell floats with a wave. An encoder-type displacement meter measures a real-time distance between the encoder-type displacement meter and the anchor.

In an array-type underwater apparatus for monitoring deformation of a reservoir landslide, an anchor is buried at an underwater monitoring point in a landslide mass, and a floating shell is configured to float on a water surface. A GPS sensor is configured to transmit and receive a GPS signal to obtain a real-time position of the floating shell, a water temperature sensor is used to obtain a water temperature-time relationship, and a gravity wave gauge is used to obtain a wave height-time relationship. An upper end of a pull cord is securely connected to the floating shell via a displacement compensation mechanism, and a lower end of the pull cord is securely connected to the anchor. The displacement compensation mechanism compensates for a displacement after the floating shell floats with a wave. An encoder-type displacement meter measures a real-time distance between the encoder-type displacement meter and the anchor.

Through discrimination of the scattered signal polarization state, a lidar system measures a distance through semi-transparent media by the reception of single or multiple scattered signals from a scattering medium. Combined and overlapped single or multiple scattered light signals from the medium can be separated by exploiting varying polarization characteristics. This removes the traditional laser and detector pulse width limitations that determine the system's operational bandwidth, translating relative depth measurements into the conditions of two surface timing measurements and achieving sub-pulse width resolution.