Satellite remote sensing,as a representative means of aerospace information acquisition,plays a crucial role in supporting the development of smart water resources management in the new era.Currently,there is a sig-nificant imbalance between the capability to acquire remote sensing data and the capability to provide data process-ing services.While a large volume of Earth observation satellite remote sensing data is being collected,there are still bottlenecks in the immediate service capability and dynamic update frequency of remote sensing data products that can support water resources management.The persistent challenges of"large satellite data volume,complex processing workflows,and inadequate product services"continue to hinder the quality and efficiency of remote sensing applications in the water resources field.This paper conducts research and analysis of the current progress in domestic and international remote sensing big data processing.It analyzes the requirements for a hydrological re-mote sensing data processing platform tailored for smart water resources management.A framework for a large-scale processing platform for water resources remote sensing data is designed,intended for the automated processing of massive satellite remote sensing data products along the entire chain.This platform aims to enhance the quality and efficiency of water resources remote sensing data product processing.It can achieve parallel processing for over 30 different sources of high-resolution remote sensing data,utilizing dynamic allocation of GPU and CPU computing resources to automate tasks such as satellite remote sensing data orthorectification,fusion,mosaicking,quality control,and extraction of hydrological remote sensing thematic information.The platform produces satellite remote sensing thematic products that meet the requirements for digital twin basin construction,thus supporting the deep application of remote sensing in smart water resources management in the new era.
关键词
水利遥感/规模化处理/遥感大数据/遥感专题产品/智慧水利
Key words
hydrological remote sensing/large-scale processing/remote sensing big data/remote sensing the-matic products/smart water resources