4 results about "Survey methodology" patented technology

The application discloses an open-pit mine annual resource consumption survey method, system, device and medium based on unmanned aerial vehicle oblique photography, relates to the field of mineral resources, and comprises the following steps: acquiring image data of at least two years of an open-pit mine by using an unmanned aerial vehicle carrying an oblique photography system; laying out ground control points and acquiring a reference data set; generating a three-dimensional real scene model of a corresponding year by means of aerial triangulation operation based on the image data and the reference data set; constructing a three-dimensional vector model of a mine body, and connecting the three-dimensional vector model of the mine body with the three-dimensional real scene model to obtain a connected three-dimensional model of the mine body; calculating a soil and stone quota based on connected three-dimensional models of the mine body of adjacent years; and calculating an annual resource consumption of the open-pit mine based on the soil and stone quota. The application can realize rapid and accurate statistics of the annual resource consumption of the open-pit mine.

This invention discloses a method for monitoring the number of trees in a region based on a cross-scale nested model. The method includes: regional partitioning and quadrat layout based on satellite remote sensing data; acquiring UAV imagery of the quadrats, automatically identifying and counting the number of trees within each quadrat using a deep learning object detection model, and generating quadrat labels; extracting the corresponding satellite multidimensional features of the quadrats and aggregating them to the quadrat scale; constructing and training a machine learning regression model using the quadrat feature vector as the independent variable and the quadrat label as the dependent variable; and applying the trained model to global satellite feature data to achieve spatial inversion and mapping of the number of trees in the region. This invention, through a two-layer nested architecture of UAV deep learning and satellite machine learning, achieves a scale conversion from high-precision quadrat calibration to high-efficiency regional inversion, solving the problems of high cost and low efficiency of traditional survey methods, as well as insufficient accuracy of single remote sensing methods.

The application discloses a rural house and land integrated investigation method based on multi-source data fusion and intelligent cooperation, and has the characteristics that house and land data are acquired and preprocessed and coded to obtain first data; the first data includes real estate unit number; external operation right ownership investigation data is acquired to serve as second data; the second data includes land ownership information; supplementary cadastral data is acquired to serve as third data; the third data includes a repaired house graph; the first data, the second data and the third data are subjected to investigation office processing to realize rural house and land integrated investigation. The method integrates multi-source data to form high-precision and high-present-situation cadastral results, the results provide the most direct and most accurate data support for land space planning compilation, old village reconstruction, land expropriation compensation, illegal land use treatment and the like, and improve the problems of operation difficulty and low efficiency of traditional measurement in dense house areas.

This invention provides a method for investigating the area of ​​grassland pest occurrence based on multi-level sampling, comprising: selecting suitable habitats for pests within a target area as primary survey plots; selecting areas with consistent community appearance and similar composition within the primary survey plots as secondary survey plots; dividing the secondary survey plots into several grids as tertiary survey quadrats; conducting aerial photography of several tertiary survey quadrats using drones to acquire survey images; calculating the pest occurrence area of ​​the corresponding tertiary survey quadrats based on the survey images, and accordingly calculating the pest occurrence areas of the secondary and primary survey plots. This invention employs a stratified sampling method, avoiding the drawbacks of simple random sampling that overly concentrates on a particular region or characteristic, or misses certain characteristics; and by rationally setting the hierarchical structure and sampling ratio, the sampling results of the lower-level survey areas can better reflect the characteristics of the upper-level survey areas, thereby showcasing the pest occurrence area characteristics of the entire target area.