Hyperspectral Data and WebGIS Based Monitoring System for Forest Pests and Diseases
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摘要: 基于高光谱数据的森林病虫害监测系统能够实现不同类型森林病虫害的模拟试验与分析评价, 辅助用户进行森林病虫害诊断评估与管理决策。本研究基于森林病虫害高光谱预测模型(以松树松材线虫病为例), 选用B/S结构的开发模式, 构建3层系统架构选择ArcGIS APIs for Javascript为WebGIS的开发技术, 研制建成了一个具有较强普适性、准确性和易操作性的网络服务端森林病虫害监测系统, 可以实现不同条件下森林病虫害发生发展动态的在线高光谱模拟预测, 从而进行森林病虫害实时远程诊断预测, 并生成适宜的管理信息方案。文中着重介绍了系统的组织结构与内容、系统的主要功能与实现原理、系统的程序设计与开发过程, 对系统的特点进行了总结与概括, 并展示了应用实例。Abstract: The hyperspectral data based monitoring system for forest pests and diseases can realize different simulation experiments and analysis evaluation on different types of forest pests and diseases, and assist users to have diagnosis evaluation of forest pests and diseases and make decisions on how to control. In this study, based on hyperspectral prediction models (taking pine wilt disease monitoring model as an example), B/S (Browser/Server) structure developing model was chosen to set up a three-level system architecture, and the ArcGIS APIs for Javascript technology was chosen to develop WebGIS components. A WebGIS-based monitoring system with good universality, veracity and handleability was established to realize the on-line hyperspectral simulation prediction of the dynamic development of forest pests and diseases in different conditions, so as to conduct real-time distance diagnosis and prediction of forest pests and diseases and generate suitable management strategies. The paper presented the structure and content, main function and technical principles, programming design and operation properties of the system, concluded and summarized the feature of the system, and showcased the examples of its application.
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Key words:
- forest diseases and pests /
- monitoring system /
- hyperspectral data /
- prediction model /
- WebGIS
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