Journal of Forestry Research

, Volume 27, Issue 6, pp 1407–1414 | Cite as

Empowering fall webworm surveillance with mobile phone-based community monitoring: a case study in northern China

  • Chengbo Wang
  • Yanyou Qiao
  • Honggan Wu
  • Yuanfei Chang
  • Muyao Shi
Original Paper


Recent advances in information and communication technologies, such as mobile Internet and smartphones, have created new paradigms for participatory environment monitoring. The ubiquitous mobile phones with capabilities such as a global positioning system, camera, and network access, offer opportunities to establish distributed monitoring networks that can perform a wide range of measurements for a landscape. This study examined the potential of mobile phone-based community monitoring of fall webworm (Hyphantria cunea Drury). We built a prototype of a participatory fall webworm monitoring system based on mobile devices that streamlined data collection, transmission, and visualization. We also assessed the accuracy and reliability of the data collected by the local community. The system performance was evaluated at the Ziya commune of Tianjin municipality in northern China, where fall webworm infestation has occurred. The local community provided data with accuracy comparable to expert measurements (Willmott’s index of agreement >0.85). Measurements by the local community effectively complemented remote sensing images in both temporal and spatial resolution.


Forest pest monitoring Mobile phone Community monitoring Hyphantria cunea Drury Field survey 



The authors would like to thank the local community and experts for assisting in generating and sharing information. The authors would also like to thank the reviewers for their constructive criticism and feedback.


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Copyright information

© Northeast Forestry University and Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Chengbo Wang
    • 1
  • Yanyou Qiao
    • 1
  • Honggan Wu
    • 2
  • Yuanfei Chang
    • 1
  • Muyao Shi
    • 1
  1. 1.Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina
  2. 2.Research Institute of Forest Resource Information TechniquesChinese Academy of ForestryBeijingChina

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