水利遥感数据规模化加工处理平台框架研究

以卫星遥感为代表的地表信息空天获取手段是支撑新时期智慧水利建设的重要途径。当前，遥感数据获取能力与处理服务能力之间出现了失衡，大量的对地观测卫星遥感数据被获取，而能够支撑水利业务的遥感数据产品即时服务能力和动态更新频次仍然存在瓶颈，“卫星数据量大、处理流程复杂、产品服务不足”的现状长期存在，制约着水利行业遥感应用的质量和效率。本文通过调研当前国内外遥感大数据加工处理进展，分析了面向智慧水利建设的水利遥感数据处理平台需求，设计了一种水利遥感数据规模化加工处理平台的框架，用于海量卫星遥感数据产品全链路自动化处理，以提升水利遥感数据产品处理质量和服务效率。该平台可以实现超过30种多源高分遥感数据全流程处理，通过动态分配GPU和CPU计算缓存，实现卫星遥感数据正射校正、融合、镶嵌、质检以及水利遥感专题信息提取等流程规模化、并行化和自动化处理，生产满足数字孪生流域建设的卫星遥感专题产品，支撑新时期智慧水利建设的遥感深度应用。

Study on a large-scale processing platform framework for hydrological remote sensing data

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 significant imbalance between the capability to acquire remote sensing data and the capability to provide data processing 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 remote 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.