A method for determining the average distance between a measurement device and a conductor includes determining a profile of a horizontal component using the horizontal position of the device that indicates the orthogonal distance between the device and the longitudinal axis of the conductor parallel to the earth's surface, measured at at least two different horizontal positions, determining a profile of the vertical component, which is associated with the determined profile of the horizontal component, using the horizontal position of the device, wherein the vertical profile is determined by measuring the vertical components associated with the horizontal components, determining the ratio of the profiles as a function using the horizontal position of the device, determining the derivative of the ratio according to the horizontal position, determining the reciprocal of the derivative, and determining the average distance between the devices and the conductor from the reciprocal of the derivative.

A method for determining a distribution of a uranium deposit is provided, including: acquiring a remote detection result of a target area; acquiring a chemical detection result of soil in the target area; delineating a plurality of exploration regions in the target area according to the remote detection result and the chemical detection result; and providing boreholes in the plurality of exploration regions for gamma detection to determine a distribution and a trend of a uranium deposit according to a result of the gamma detection.

A method for determining a distribution of a uranium deposit is provided, including: acquiring a remote detection result of a target area; acquiring a chemical detection result of soil in the target area; delineating a plurality of exploration regions in the target area according to the remote detection result and the chemical detection result; and providing boreholes in the plurality of exploration regions for gamma detection to determine a distribution and a trend of a uranium deposit according to a result of the gamma detection.

Methods, systems, and computer programs are presented for detecting buried pipelines and spills. One method includes operations for programming a drone to fly over a geographical area, and for capturing, during a flight of the drone, geophysical data with geophysical equipment in the drone. Further, the method includes capturing, during the flight of the drone, images with a camera in the drone. A machine-learning (ML) model is utilized to identify locations of buried pipes and spills based on the captured geophysical data and the captured images. Further, the method includes presenting the identified locations of the buried pipes and spills in a map of the geographical area.

Methods, systems, and computer programs are presented for detecting buried pipelines and spills. One method includes operations for programming a drone to fly over a geographical area, and for capturing, during a flight of the drone, geophysical data with geophysical equipment in the drone. Further, the method includes capturing, during the flight of the drone, images with a camera in the drone. A machine-learning (ML) model is utilized to identify locations of buried pipes and spills based on the captured geophysical data and the captured images. Further, the method includes presenting the identified locations of the buried pipes and spills in a map of the geographical area.

Disclosed is an airborne unitary structure, to a kit and to a method for assembling and scaling such an airborne unitary structure. The unitary structure is configured to be towed by an aircraft such as an Unmanned Aerial Vehicle. The kit comprises at least two sensor modules and a linkage assembly. The two sensor modules are each configured to house at least one geophysical sensor. The linkage assembly is configured to rigidly connect the at least two sensor modules with one another and spaced apart from one another and thus securing their exact position relative to one another to allow exact relative measurements. To adapt the structure to different measurement tasks, the linkage assembly is configured to be assembled in a first configuration and in a second configuration, wherein the first configuration differs from the second configuration in at least one of a distance between the at least two sensor modules and the number of sensor modules in the array. The structure may be particularly used for gradient measurements, such as using magnetometers as geophysical sensors. In a particularly advantageous embodiment, the sensor modules and/or the linkage assembly themselves are of modular structure.

Disclosed is an airborne unitary structure, to a kit and to a method for assembling and scaling such an airborne unitary structure. The unitary structure is configured to be towed by an aircraft such as an Unmanned Aerial Vehicle. The kit comprises at least two sensor modules and a linkage assembly. The two sensor modules are each configured to house at least one geophysical sensor. The linkage assembly is configured to rigidly connect the at least two sensor modules with one another and spaced apart from one another and thus securing their exact position relative to one another to allow exact relative measurements. To adapt the structure to different measurement tasks, the linkage assembly is configured to be assembled in a first configuration and in a second configuration, wherein the first configuration differs from the second configuration in at least one of a distance between the at least two sensor modules and the number of sensor modules in the array. The structure may be particularly used for gradient measurements, such as using magnetometers as geophysical sensors. In a particularly advantageous embodiment, the sensor modules and/or the linkage assembly themselves are of modular structure.

Embodiments include a method for retrieving atmospheric aerosol based on statistical segmentation. Firstly a multi-band remote sensing image including an apparent reflectance and an aerosol optical thickness look-up table corresponding to a retrieval band is obtained, then pixels are partitioned and screened according to apparent reflectance segments of a mid-infrared 2.1 micrometer band. After that the retained pixel sets are further partitioned and screened according to the apparent reflectance segments of the mid-infrared 1.6 micrometer band. Finally the obtained pixel sets are partitioned into two categories according to the pixel number, one category including pixels having more pixels, the other including those with less pixels. The category with more pixels is taken as the reference part for retrieval.

A system and method for performing a test procedure on a system under test are provided. An actuation unit operatively coupled to the system under test is configured to perform at least one operation thereon. A visual recognition unit is configured to capture at least one image of the system under test in real-time. A test unit remotely interfaced with the system under test is configured to perform the test procedure. Using the test unit, the test procedure is retrieved from the memory, at least one control signal is output to the actuation unit for causing the at least one operation to be performed in real-time for testing the system under test in accordance with the one or more test instructions, and the at least one image of the system under test is monitored as the at least one operation is performed for validating the test procedure in real-time.

A system and method for performing a test procedure on a system under test are provided. An actuation unit operatively coupled to the system under test is configured to perform at least one operation thereon. A visual recognition unit is configured to capture at least one image of the system under test in real-time. A test unit remotely interfaced with the system under test is configured to perform the test procedure. Using the test unit, the test procedure is retrieved from the memory, at least one control signal is output to the actuation unit for causing the at least one operation to be performed in real-time for testing the system under test in accordance with the one or more test instructions, and the at least one image of the system under test is monitored as the at least one operation is performed for validating the test procedure in real-time.