A self-deployable apparatus for facilitating collecting data from multiple depths of water bodies. Further, the self deployable apparatus comprises a main body, substances, a sensor, a storage device, and a power source. Further, the substances in amounts are to be disposed in a second interior space of the main body for sinking the self-deployable apparatus to a depth of water body. Further, the amounts of the substances undergo a thermochemical reaction at a temperature for producing a gaseous substance. Further, a check valve of the main body expels a portion of the gaseous substance from the second interior space for rising the self-deployable apparatus to a surface of the water body. Further, the sensor generates sensor data based on detecting a parameter of a water sample. Further, the storage device stores the sensor data. Further, the power source powers the sensor and the storage device.

Provided is an artificial intelligence overtopping prediction device including first and second pressure measurement parts 103 and 105 configured to measure a collision pressure of waves colliding with a marine structure 10 and a pressure of waves introduced into a road surface 20, an overtopping alert part 109 configured to collect images around the overtopping prediction device 100 and output an alert sound, an information collection and control part 107 including a drone storage 170 configured to fly the drone 202, and a collection controller 160 configured to control the overtopping prediction device 100, receive and store the wave pressure information and the overtopping amount information, and transmit the information to an overtopping prediction system 500 to predict and generate overtopping prediction information, and a frame part 101 including a support frame 110. Also, disclosed herein is an overtopping prediction system using the artificial intelligence overtopping prediction device 100.

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 method for continuous measurement of river flow based on satellite big data is provided. The method includes: determining a river reach to conduct flow measurement, reconstructing a cross section of a river channel based on satellite big data, calculating real-time water levels by coupling data of various types of satellites, and performing flow calculation and compilation. The method solves the difficult problem of river flow measurement or continuous measurement of river flow in uninhabited areas, fills the blank of satellite-based flow measurement according to the principle of river dynamics, and greatly expands the range of river flow measurement.

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 geoid calculation data is collected easily. A geoid calculation data collection device of the present invention comprises an inertial measurement data acquisition part, a comparison data acquisition part, and a recording part. In the inertial measurement data acquisition part, data related to velocity, position, and attitude angle is acquired as inertially-derived data based on an output of an inertial measurement part having a three-axis gyro and a three-axis accelerometer attached to a moving body. In the comparison data acquisition part, data related to velocity is acquired as comparison data from a source other than the inertial measurement part. In the recording part, inertially-derived data and comparison data are recorded in association with each other. In the inertial measurement part, a bias stability is acquired that allows error arising from plumb line deviation to be distinguished to a predetermined degree.

A geoid calculation data is collected easily. A geoid calculation data collection device of the present invention comprises an inertial measurement data acquisition part, a comparison data acquisition part, and a recording part. In the inertial measurement data acquisition part, data related to velocity, position, and attitude angle is acquired as inertially-derived data based on an output of an inertial measurement part having a three-axis gyro and a three-axis accelerometer attached to a moving body. In the comparison data acquisition part, data related to velocity is acquired as comparison data from a source other than the inertial measurement part. In the recording part, inertially-derived data and comparison data are recorded in association with each other. In the inertial measurement part, a bias stability is acquired that allows error arising from plumb line deviation to be distinguished to a predetermined degree.

A method for discriminating vertical distribution models of organic carbons is provided, the method includes: obtaining a concentration of organic carbons in a surface layer of the ocean water area, depths of water of the ocean water area and depths of mixed layers of the ocean water area; determining different vertical distribution models of organic carbons in the ocean water area according to the concentration of the organic carbons in the surface layer and the depths of water of the ocean water area; calculating ratios of the depths of water of the ocean water area to the depths of the mixed layers of the ocean water area; and discriminating the vertical distribution models according to the ratios. According to this method, the accuracy of estimation of the stock of organic carbons in the ocean water area can be improved greatly.

The invention is a system for measuring boat wake and generating a meaningful representation of boat wake for watercraft operators. The invention includes a sensor mounted in a fixed location above the surface of an adjacent body of water. The apparatus further includes a programmable logic controller to evaluate the measurements collected by the sensor. The measurements are compared to each other to determine the maximum and minimum wake heights across a set time interval. The difference between the max and min distance is converted to inches and this is the wake height value which is broadcast via antenna to a display station. The display station receives the broadcast and displays the wake height value in a location and size visible to the operator of the boat.

An observation unit (30) for underwater deployment on/in a submerged earth layer (12) or structure. The unit comprises a housing (32), a light source (36), an underwater imaging device (40), a processor device (44), and a communication device (35). The housing supports the underwater observation unit relative to the submerged layer or structure. The light source is fixed to the housing, and configured to emit light into the unit's surroundings. The imaging device is attached to the housing, and configured to acquire image data of a second light source located within a FOV of the camera that covers the surroundings of the unit. The processor device is configured to determine positional data of the second light source relative to the imaging device, from the image data. The communication device is configured to transmit the positional data to another underwater observation unit, an underwater vehicle, or an underwater processing station.