Research on Catalog Technology of Large-scale Satellite Remote Sensing Data Resources
WANG Zhibao
ZHAO Liang
MA Xuan
LIU Kunyi
Abstract：At present,the sharing of multi-source heterogeneous remote sensing data has problems in data organization differ-ences and low data retrieval efficiency.Formulating a standardized remote sensing data resource catalog is the basis for large-scale remote sensing data management and sharing.NASA's unified metadata model UMM provides an authoritative data mapping stan-dard.At first,this article builds a remote sensing metadata integration model based on UMM,and unifies the remote sensing metada-ta access specifications.This article designs and implements a massive remote sensing data retrieval technology based on Elastic-search,which effectively solves the problem of low retrieval efficiency of remote sensing data resource catalogues under multi-source heterogeneous situations.
Keywords：data-catalogremote sensing datahybrid retrievalUMM
Publication Date：2023-10-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 2293-2299 )