一种基于GPM-DPR卫星观测数据的三维降雨重构方法
By using a Python script-based data conversion method, GPM-DPR satellite data was converted from HDF5 format to GeoJSON format, which solved the shortcomings of existing technologies in 3D precipitation data processing and visualization, and achieved efficient automated data conversion and interactive WebGIS display, thereby improving the practicality and accessibility of the data.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HANGZHOU ZHONGKE PINZHI TECH CO LTD
- Filing Date
- 2025-09-01
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack in-depth processing and visualization tools for GPM-DPR 3D rainfall data, making it impossible to achieve batch extraction, 3D reconstruction, and interactive display of multi-layer height profile data. Furthermore, there is a lack of processing procedures to automatically convert HDF5 format data into WebGIS interactive display format, resulting in a high barrier to data use and limiting its popularization and practicality.
This paper presents a method for reconstructing three-dimensional rainfall based on GPM-DPR satellite observation data. It uses Python scripts to automatically convert HDF5 format data to GeoJSON format, including generating GeoTIFF format raster datasets, uniform spatial extent processing, and constructing three-dimensional structure arrays, to generate three-dimensional rainfall GeoJSON data suitable for WebGIS systems.
It enables automated processing and web-based visualization of 3D rainfall data, lowers the threshold for data processing, improves the usability and sharing efficiency of data, supports efficient multi-layer data display and interactivity, and is applicable to common WebGIS frameworks.
Smart Images
Figure CN121120887B_ABST