城市森林资源智能监测及其生态功能智慧感知研究

Urban forest is an indispensable infrastructure in the city, and it is essential to intelligent monitor and manage the urban forest resources for promoting the smart city construction. However, the complex structure, scatter distribution, heterogeneous underlying surface, and frequent disturbances of urban forest makes the spatiotemporal intelligent monitoring of urban forest resources and the ecological environment of urban forests, especially the spatiotemporal wisdom sensing of carbon sink function, face many problems. Therefore, based on new-generation information technologies such as wireless sensing network, unmanned aerial vehicles, and high-, mid- and low-satellites, this project aims to constructed a “surface-sky-space” stereoscopic monitoring network of urban forest resources and ecological environment, and to achieve multi-scale spatiotemporal synergistic monitoring and multi-dimensional spatiotemporal dynamic accuracy sensing of ecological environment and carbon sink function of urban forest using smart machine algorithms. Finally, establishing a comprehensive evaluation index system for urban forest ecological environment and realizing the spatiotemporal auto adaptive comprehensive evaluation of forest environment. The research results are expected to serve the construction of smart city and provide theoretical methods and technical support for the construction of national forest city.

城市森林是城市中不可或缺的基础设施，推进智慧城市建设，城市森林资源智能监测和智慧管理必不可少。然而，城市森林结构复杂、分布破碎、下垫面异质、干扰频繁，使得城市森林资源时空智能监测和城市森林生态环境尤其是碳汇功能时空智慧感知等方面面临诸多问题。为此，本项目基于无线传感、无人机和高中低卫星等新一代信息技术手段，构建城市森林资源及生态环境“地-空-天”一体化立体监测网络，并利用智能机器算法、发展模型模拟等方法，整合多传感器等大数据，实现城市森林多尺度时空协同监测、生态环境和碳汇功能多维度时空动态精确感知，建立城市森林生态环境综合评价指标体系，实现森林环境时空自适应综合评价，研究结果可望服务智慧城市建设，为国家森林城市建设提供理论方法和技术支持。