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Information service platform of forest pest forecast based on WebGIS

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Abstract

Taking Linkou Forestry Bureau, Heilongjiang Province, China as the demonstration plot and Dendrolimus pinidiatrea as an example, we developed a WebGIS-based information service platform for forest pest forecast using J2EE and ArcGIS Server technology. The service platform is able to predict the occurrence period, amount of pest, occurrence tendency, and pest zones in the B/S environment and realized the display, querying, analysis and editing of the spatial data and the automatically integrated control of multilevel Data. Additionaly, the service platform offers the visualization of geographic service and predicted results. It provides a solution for prediction of forest pest and forest resource management.

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Author information

Authors and Affiliations

  1. Information and Computer Engineering College, Northeast Forestry University, Haerbin, 150040, People’s Republic of China

    Ni-hong Wang

  2. College of Mechanical and Electrical Engineering, Northeast Forestry University, Haerbin, 150040, People’s Republic of China

    Dan Li

  3. Department of Science and Technology, Northeast Forestry University, Haerbin, 150040, People’s Republic of China

    Hua Pan

Authors
  1. Ni-hong Wang
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  2. Dan Li
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  3. Hua Pan
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Corresponding author

Correspondence to Ni-hong Wang.

Additional information

Foundation project: This work was supported by the 11th Five Years Key Programs for Science and Technology Development of China (2006BAD10A03-5), Heilongjiang Programs for Science and Technology Development in 2006(GB06A110), Haerbin Technologies R&D Program in 2007(2007AA1CG077-1).

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Wang, Nh., Li, D. & Pan, H. Information service platform of forest pest forecast based on WebGIS. Journal of Forestry Research 20, 275–278 (2009). https://doi.org/10.1007/s11676-009-0048-5

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  • DOI: https://doi.org/10.1007/s11676-009-0048-5

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