基于无人机遥感影像和GIS相结合的城市绿地均匀度分析——以安顺市建成区为例
Analysis of the Homogeneity Degree of City Green Space Distribution Based on Combination of UAV Aerial Image and GIS—A Case Study of Anshun City
吴倩 1谭伟 1谢刚 2黄邦明3
作者信息
- 1. 贵州大学林业信息工程研究中心,贵州贵阳550025
- 2. 贵州大学林业信息工程研究中心,贵州贵阳550025;贵州科学院山地资源研究所,贵州贵阳550000
- 3. 贵州省安顺市园林局,贵州安顺561000
- 折叠
摘要
为了全面了解贵州省安顺市建成区城市绿地分布均匀度状况,运用基于无人机遥感影像和GIS相结合的方法,对安顺市城市绿地信息进行提取和相关分析.结果表明:在50m×50m、40 m×40 m、30 m×30 m、25 m×25m、20m×20m、15 m×15 m、10 m×10 m、8m×8m、5m×5m、4m×4m和2m×2m总共11组数据中,随着格网积减小即格网精度增大,其相应基尼系数增大,即绿地分布更趋于集中;以格网面积作为自变量,基尼系数作为因变量,格网精度与基尼系数之间表现出线性关系;30 m×30m格网处理分析结果表明,安顺市建成区绿地分布均匀度基尼系数为0.23,其公共绿地分布比较均匀.
Abstract
In order to fully understand the homogeneity degree of city green space distribution in Anshun,Guizhou Province,based on the combination of UAV remote sensing images and GIS method,the city green space information of Anshun was extracted and analyzed.Results showed thatin50m×50m,40m×40m,30m×30m,25m× 25m,20m×20m,15m×15m,10m×10m,8m×8m,5m×5m,4m× 4m and 2 m × 2 m of a total of 11 sets of data,with the decrease of grid size,its response gini coefficient increased.The green space distribution tended to be more concentrated; with the grid precision as the independent variable and the Gini coefficient as the dependent variable,there is a linear relationship between grid precision and gini coefficient; 30m × 30 m grid processing analysis indicated that gene coefficient of green space distribution in Anshun was 0.23,the public green space distribution was even.
关键词
无人机航拍影像/绿地分布均匀度/洛伦茨曲线/基尼系数Key words
UAV aerial image/Green space distribution uniformity/Lorenz curve/Gini coefficient引用本文复制引用
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据