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.

To provide a flood detection technique with which a breakdown is less likely to occur over a long period, maintenance costs are low, and the occurrence of an abnormal water level is less likely to be erroneously determined. An inundation detection device detects a received signal strength that is the strength of a received response signal received from an RF sensor installed at a flood detection location, detects a dispersion within a specific time, detects a normal reception rate, and outputs a flood detection signal in a case where the dispersion is greater than or equal to a specific threshold and the normal reception rate is less than or equal to a specific threshold.

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.

An adaptive filtering method of photon counting Lidar for bathymetry is provided in this invention, which includes steps: step S1: adaptively acquiring parameters of elliptic filtering for water surface photon signals; step S2: determining a relationship between filter parameters and elevation of underwater photon signals, and obtaining parameters of the elliptic filtering for photon signal in water column; and step S3: filtering and fitting the water surface photon signals and the underwater photon signals to acquire continuous bathymetry results.

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 present disclosure relates to a method and a device for monitoring the water volume change, and a computer device and a storage medium. The method includes: acquiring a lake shoreline change sequence, a lake area change sequence, and a combined altimetry water level sequence; obtaining a lake water level sequence based on the combined altimetry water level sequence and the lake shoreline change sequence; calculating a first regressive relationship between the lake water volume and the lake water level based on the lake area change sequence and the lake water level sequence; and obtaining a lake water volume change sequence based on the lake water level sequence and the first regressive relationship between the lake water volume and the lake water level.

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.

To provide a flood detection technique with which a breakdown is less likely to occur over a long period, maintenance costs are low, and the occurrence of an abnormal water level is less likely to be erroneously determined. An inundation detection device 1 detects a received signal strength I(t) that is the strength of a received response signal received from an RF sensor installed at a flood detection location, detects a dispersion D(I;[t−Δt.sub.1, t]), within a specific time Δt.sub.1, of I(t), detects a normal reception rate R[(t−Δt.sub.2, t]), and outputs a flood detection signal in a case where the dispersion D(I;[t−Δt.sub.1, t]) is greater than or equal to a specific threshold D.sub.th1 and the normal reception rate R[(t−Δt.sub.2, t]) is less than or equal to a specific threshold R.sub.th1. When an increase in the dispersion D(I;[t−Δt.sub.1, t]) and a decrease in the normal reception rate R[(t−Δt.sub.2, t]) are appropriately determined on the basis of the thresholds, the RF sensor that is flooded can be detected with high accuracy.

A method for measuring elevation of an accumulating resource with a visually distinguishable intersecting object includes providing an electronic device comprising a camera and at least one position sensor, performing at least one survey by obtaining sensor readings while the camera is aimed at an intersection, determining an altitude and pitch angle of the camera using the sensor readings; and computing the elevation of the accumulating resource using the geolocation and pitch angle of the camera.

The present disclosure provides a system and a method for measuring water capacity of polar lakes, and relates to the technical field of lake water capacity measurement. The method comprises the steps: controlling an unmanned aerial vehicle to move along with an unmanned underwater vehicle at a preset height right above the unmanned underwater vehicle by utilizing an ADRC algorithm; obtaining lake surface point cloud data, under-lake point cloud data and under-lake single-beam ranging data so as to construct a water three-dimensional topographic map, a lake coastal three-dimensional topographic map and a lake bottom three-dimensional topographic map under the same coordinate system, and then determining the lake water capacity. By arranging the unmanned underwater vehicle, an unmanned underwater vehicle-mounted module, the unmanned aerial vehicle and an unmanned aerial vehicle-mounted module, lake elevation and lake underwater terrain data are automatically measured, so that the observation precision of polar lakes is improved.