基于机载LiDAR数据的城市绿度空间指数模型研究

In view of the serious situation of lacking in study on remote sensing mechanism and quantitative inversion of urban green space, the retrieval method of vegetation canopy 3-D structure parameters such as vegetation canopy volume were explored based on Airborne LiDAR and high resolution optical data. Furthermore, the two models of urban green space measuring index and evaluation index with scale of building were developed to study the quantitative relationship between urban green space and building space allocation. At last, the models were validated and their regional adaptability was probed. The study aims to reveal the urban green space's effect mechanism, develop the research discipline of urban green space remote sensing and probe its systematic retrieval technical process. The Method of vegetation 3-D spatial structure parameters will be innovated and the remote sensing theoretical model and effecting mechanism of urban green space will be developed. The research achievements will provide theory and method access for urban environment remote sensing and provide references for urban greening, environment planning and management. It is helpful for improving the city environmental remote sensing monitoring & assessing capacity, and has important theoretical significance and practical value to promote the development of quantitative remote sensing of urban environment.

针对我国城市绿度空间遥感机理与定量反演研究不足的问题，基于机载LiDAR和高分辨率光学数据，深入研究植被冠层体积等三维结构参量的提取方法，构建城市绿度空间度量指数模型和建筑物尺度的城市绿度空间评价指数模型，研究城市绿地-建筑物空间配置的定量关系，探索模型的真实性检验流程与区域适应性，研究旨在揭示城市绿度空间作用机理，形成系统、完善的城市绿度空间遥感研究方向与技术流程。 研究有望在植被三维空间结构参量提取方法上有所创新，在城市绿度空间遥感理论模型和作用机理上有所突破。研究成果可为城市环境遥感提供理论与方法手段，为城市绿化、环境规划和城市精细化管理提供参考，对推动城市环境定量遥感的发展具有重要理论意义与实用价值。

本项目以匈牙利塞克什白堡市和天津市为研究区，基于机载 LiDAR 和高分辨率光学数据，深入研究了植被二维、三维结构参量提取技术，实现了城市单株立木的识别与冠层结构信息提取；建立了基于建筑物尺度的城市绿度空间指数模型，并开展了模型真实性检验与适应性分析，探索了城市绿地-建筑物空间配置的定量关系和模型区域适应性。本项目在植被三维空间结构参量提取方法上有所创新，在城市绿度空间遥感理论模型和作用机理上有所突破。研究成果可为城市环境遥感提供理论与方法手段，为城市绿化、环境规划和城市精细化管理提供参考，对推动城市环境定量遥感的发展具有重要理论意义与实用价值。在本项目资助下，已发表科研学术论文25篇，其中SCI 7篇，EI 3篇，CSCD 15篇，获得国家发明专利授权2项。