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Ground object spectral libraries recording curated collections of spectral information of elements on the Earth’s surface are publicly accessed by researchers across the web. However, these spectral libraries are heterogeneous in their access pattern, data format, and semantic description, which poses significant challenges for their comprehensive utilization. To solve this problem, this paper proposes SpectralCrawler, a B/S-based framework that physically integrates heterogeneous spectral libraries with a data exchange module and a unified metadata model. The demonstration showcases EcoSIS, a renowned ecological spectral information system, as the experimental spectral library, and highlights SpectralCrawler’s functionalities for users.

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Demonstrating SpectralCrawler: a Framework for Physical-Based Integration of Heterogeneous Ground Object Spectral Libraries from the Web

  • 会议论文

  • 发表日期：

    2026年

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  • Sheng Cen,
  • Sheng Wang,
  • Xiaohui Huang,
  • Tong Zhu,
  • Zhaoyin Zhou,
  • Ruyi Feng,
  • Jianxin Li,
  • Yunliang Chen

摘要

Ground object spectral libraries recording curated collections of spectral information of elements on the Earth’s surface are publicly accessed by researchers across the web. However, these spectral libraries are heterogeneous in their access pattern, data format, and semantic description, which poses significant challenges for their comprehensive utilization. To solve this problem, this paper proposes SpectralCrawler, a B/S-based framework that physically integrates heterogeneous spectral libraries with a data exchange module and a unified metadata model. The demonstration showcases EcoSIS, a renowned ecological spectral information system, as the experimental spectral library, and highlights SpectralCrawler’s functionalities for users.