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针对城市绿度空间分布特征难以描述且合理性难以度量的问题,在基于多光谱遥感数据和激光雷达数据(Li DAR)获取高精度城市建筑物与绿地信息的基础上,本文提出一种基于移动窗口的城市绿度遥感度量方法。其通过遍历研究区像元,建立了移动窗口内的城市绿地面积与固定窗口面积之间的关系,计算了中心像元的绿度指数,并与传统的格网法、缓冲区法进行了比较。研究结果表明:该方法建立的绿度指数,能很好地反映城市居民在区域内接触城市绿地的概率及其空间分布特征,与格网法和缓冲区法相比,有效避免了格网法产生的边缘效应,并解决了缓冲区法空间不连续性的问题,实现了区域范围内任意点的城市绿度度量。该方法为城市绿地度量、城市规划、管理提供了一种新视角。
In view of the difficulty of describing the spatial distribution of urban green space and the difficulty of measuring its rationality, based on the multi-spectral remote sensing data and lidar data (Li DAR) to obtain high-precision urban buildings and green space information, Window urban greenness remote sensing measurement method. By traversing the pixels in the study area, the paper establishes the relationship between the urban green area and the fixed window area in the moving window, calculates the green index of the central pixel, and compares it with the traditional grid method and buffer method . The results show that the green index established by this method can well reflect the urban residents’ exposure to urban green space in the region and their spatial distribution characteristics. Compared with the grid method and the buffer method, the green index can effectively avoid the grid method And solve the problem of spatial discontinuity in the buffer zone, and achieve the measure of urban green space at any point in the region. The method provides a new perspective for urban green space measurement, urban planning and management.