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A framework for sharing and integrating remote sensing and GIS models based on Web service.

Zeqiang Chen1, Hui Lin2, Min Chen3

  • 1Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong ; Collaborative Innovation Center for Geospatial Information Technology, Wuhan University, Wuhan 430079, China ; Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China.

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This study introduces a Web service framework to simplify sharing and integrating Remote Sensing (RS) and Geographic Information System (GIS) models. The framework enables easier model publication and interoperability for practical environmental monitoring applications.

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Area of Science:

  • Environmental Science
  • Geospatial Science
  • Computer Science

Background:

  • Sharing and integrating Remote Sensing (RS) and Geographic Information System (GIS) models are crucial for developing practical application systems.
  • Current challenges exist in facilitating model sharing for publishers and model integration for users.
  • Addressing these challenges is vital for advancing geospatial modeling capabilities.

Purpose of the Study:

  • To propose a novel framework based on Web services for sharing and integrating RS and GIS models.
  • To facilitate the publication of heterogeneous RS and GIS models as standard Web services.
  • To enable seamless integration of these models for practical applications.

Main Methods:

  • Publishing heterogeneous RS and GIS models as standard Web services using a "black box" and visual method.
  • Integrating RS and GIS models through a geospatial workflow and semantic-supported marching method.
  • Applying the framework to develop the Pearl River Delta water environment monitoring system.

Main Results:

  • The proposed framework successfully facilitates the sharing of RS and GIS models.
  • Model integration is effectively achieved, enabling practical application system development.
  • The framework demonstrated its utility in the Pearl River Delta water environment monitoring system.

Conclusions:

  • The Web service-based framework enhances the sharing and integration of RS and GIS models.
  • It addresses key challenges faced by both model publishers and users.
  • This approach supports the development of advanced geospatial applications, such as environmental monitoring systems.