Demonstrating SpectralCrawler: A framework for physical-based integration of heterogeneous ground object spectral libraries from the web

Author Identifier (ORCID)

Jianxin Li: https://orcid.org/0000-0002-9059-330X

Abstract

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.

Keywords

Data integration, remote sensing, spectral library

Document Type

Conference Proceeding

Date of Publication

1-1-2026

Volume

16116 LNCS

Publication Title

Lecture Notes in Computer Science

Publisher

Springer

School

School of Business and Law

Funders

National Key R&D Program of China (2025YFE0107100)

Comments

Cen, S., Wang, S., Huang, X., Zhu, T., Zhou, Z., Feng, R., Li, J., & Chen, Y. (2026). Demonstrating SpectralCrawler: A framework for physical-based integration of heterogeneous ground object spectral libraries from the web. In J. Li, R. Chbeir, L. Li, C. Zong, Y. Zhang, & M. Zhang (Eds.), Lecture notes in computer science: Vol. 16116. Web and big data (pp. 261–265). Springer. https://doi.org/10.1007/978-981-95-5722-6_23

Copyright

subscription content

First Page

261

Last Page

265

Link to Full Text

Share

 
COinS
 

Link to publisher version (DOI)

10.1007/978-981-95-5722-6_23