Construction of spatiotemporal multi-source and multi-scale fusion framework based on digital twin data base of irrigation districts
To address issues like varied data types,inconsistent formats,differing monitoring frequencies,mismatched geographic spatial scales,overlapping business domains,and difficulties in data fusion,this study proposes a framework and methodology for multi-source data fusion in the digital twin base of irrigation districts.The multi-source data fusion paths are elaborated from several perspectives,including integrating unified water resource object models,object fusion(fusion of entity object relationships,oblique photography models and BIM models,vector objects and oblique photography models),feature fusion(integration of features from multi-source remote sensing data,fusion of terrain features at different resolutions),and numerical fusion(merging station monitoring data,spatial scale fusion of point and grid data,and spatiotemporal interpolation fusion of long-,medium-,and short-term rainfall grid forecast data).In the application of the Ouyanghai Irrigation District project,scenarios such as crop planting area estimation,drought monitoring using multi-source data fusion,and inundation analysis based on multi-source data fusion were implemented.These applications enable the digital twin irrigation district to achieve multi-level visibility,usability,and traceability,transitioning from overall to local perspectives,from abstraction to detail,and from two-dimensional to three-dimensional representations.
irrigation districtsdigital twin data basespatiotemporal multi-source and multi-scalefusion frameworkOuyanghai Irrigation District
万方数据
维普
