A method and system for prediction of wave properties include collecting time series data streams from one or more wave measurement devices and processing the data using a wave-prediction algorithm to identify the frequency components of the data and compute wave parameters. The wave-field is propagated in space and time to predict wave height, speed, and velocity at a target location. A sliding window approach is used to continuously update the prediction in real-time.

The present invention provides an apparatus adapted to survey a predetermined characteristic within a body of fluid adjacent an axis that transects the body of fluid, the apparatus comprising: a survey member interposed between first and second position defining arrangements; and at least one instrumentality associated with the survey member, each instrumentality adapted to survey the predetermined characteristic of the body of fluid adjacent the axis, wherein a survey of the predetermined characteristic is conducted over a predetermined time period. The present invention provides a method of surveying a predetermined characteristic within a body of fluid adjacent an axis that transects the body of fluid, the method comprising the steps of: deploying into a body of fluid at least one apparatus according to the first aspect of the invention; and obtaining survey data of the predetermined characteristic from one or more of the instrumentalities over the predetermined time period. The present invention also provides methods of determining whether a potentially suitable site is a suitable site for operative location of a fluid-based electricity generator, and other related methods.

In an approach for efficient flood water analysis from spatio-temporal data fusion and statistics, a processor classifies regular waters by using cartographic data in a first location. A processor generates a water stream network including a watershed based on elevation data. A processor performs statistical analysis of spectral information from a multi-spectral satellite imagery over water bodies including the regular waters and flood waters. A processor correlates the spectral statistics of the multi-spectral satellite imagery to kinetic energy of the flood waters using machine learning techniques and physical modeling. A processor builds a learning model based on the correlation between the spectral statistics and the flood waters with the kinetic energy. A processor estimates kinetic energy of flood waters in a second location using the learning model. A processor evaluates a flooding risk for the second location based on the estimated flood waters kinetic energy.

Systems and methods for determining varying phenomena in an environment. In an embodiment, an system includes a processor configured to receive a sequence of remote sensing data regarding an environment, wherein the environment comprises a target area where changes have occurred and a surrounding area where few or no changes have occurred; process the RS data to determine signals for the changes that have occurred in the target area and where no changes have occurred in the surrounding area, wherein the signals comprise reflected sunlight radiation or returned light or radiation of different wavelengths captured by the sensor; process the signals to determining environment data indicting varying phenomena in the environment, wherein the varying phenomena in the environment comprise changes in the physical characteristics of the target area and an amount of radiation captured by the RS data; and provide the environment data for display via a user device.

This invention relates to a positioning system and a method for navigation, in particular but not exclusively to a positioning system and a method for maritime navigation. A positioning system and method for navigation comprising a reference unit positioned on a vehicle, and a portable optical device, in communication with the reference unit, comprising sensing means to measure bearings to observed target points relative to the vehicle heading to thereby determine a position of the vehicle.

The present invention relates to 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.

Disclosed is a seepage meter device, which is capable of detecting groundwater seepage fluxes to surface water bodies in a variety of aquatic environments. The device comprises a seepage meter body and an electronics component.

The present disclosure relates to the field of survey and stability evaluation of a tailing fill dam, in particular to a method and system for survey and stability evaluation of an upstream tailing fill dam, wherein the method comprises the following steps: selecting a drill bit and a soil sampler for a target tailing fill dam; collecting tailing sand at different depths of the target tailing fill dam using the drill bit and the soil sampler; detecting an undisturbed soil sample of the tailing sand; setting a preset standard according to the undisturbed soil sample, and screening the tailing sand using the preset standard to obtain a tailing sand sample; detecting the particle composition of the tailing sand sample; detecting the mechanical property of the tailing sand sample; and evaluating the stability of the target tailing fill dam through the particle composition and the mechanical property.

A device and method of using same having an inertial measurement unit (IMU), a controller, an activator, and an absolute position sensor configured to measure fluid-body waves. The controller calculates its orientation in a relative frame using data obtained from the IMU and fixed-point arithmetic. The controller transforms the relative orientation information into absolute units using data obtained from the absolute sensor and fixed-point arithmetic, producing wave measurements. The controller may then select a subset of wave measurements for transmission via an optional communications mechanism to a remote user.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for estimating wave properties of a body of water. A computer-implemented system obtains measurement data for a duration of time from an inertial measurement unit (IMU) onboard an underwater device, generates model input data based on at least the measurement data obtained at the plurality of time points, and processes the model input data to generate model output data indicating one or more wave properties using a machine-learning model. The system further determines, based on at least the one or more wave properties, whether the device is safe to be deployed.