Multi-source remote sensing data product production workflow self-organizing method

Abstract

The invention provides a multi-source remote sensing data product production workflow self-organizing method which comprises the following steps: S1, analyzing a remote sensing data product productionorder to obtain a pre-produced remote sensing data product name, and judging the feasibility of producing a remote sensing data product according to the remote sensing data product name; S2, acquiring an upper-lower hierarchical relationship of the remote sensing data product from a remote sensing data product upper-lower hierarchical relationship knowledge base; S3, obtaining a lower-level product and production data required for producing the remote sensing data product from a remote sensing data product dependency relationship knowledge base; S4, screening out optimal production data according to difference analysis of the satellite sensor characteristic parameters and the remote sensing data product; And S5, using a Kepler scientific workflow engine to organize the optimal productiondata of each lower-level product to form a physical workflow. The method has the advantages that the optimal data source is selected to improve the precision level of remote sensing data product production, and the automation level and the intelligence level of remote sensing data product production are improved.

Description

technical field [0001] The invention relates to the technical field of remote sensing data products, in particular to a multi-source remote sensing data product production workflow self-organization method. Background technique [0002] The development of remote sensing technology has resulted in the explosive growth of data volume, the continuous increase of product types and quantities, and the continuous expansion of remote sensing application fields. However, in the existing remote sensing data product production system, the product production process organization is mostly manual by experts. The process is fixed and needs to be prepared in advance. Personalized product production needs. In addition, massive and multi-source remote sensing data have caused the problem of selecting the best and recommended sources of multiple approximate data sources in the production process, and on the other hand, there may be specific problems in the production of long-term series and...

AI Technical Summary

Problems solved by technology

However, in the existing remote sensing data product production system, the product production process organization is mostly manual by experts. The process is fixed and needs to be prepared in advance. Personalized product production needs

In addition, the massive and multi-source remote sensing data on the one hand has caused the problem of selecting the best and recommended multiple approximate data sources in the product production process; Problems of missing data, poor data quality and unavailability

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