Vegetation ecological benefts index (VEBI): a 3D spatial model for evaluating the ecological benefits of vegetation  

作　　者：Zhimei Zhang Yanguo Fan Zhijun Jiao Bowen Fan Junwei Zhou Zhanhao Li 

机构地区：[1]School of Geosciences and Info-physics,Central South University,Changsha,People’s Republic of China [2]College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao,People’s Republic of China [3]Center of Subtropics Remote Sensing,Central South University,Changsha,People’s Republic of China [4]College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin,People’s Republic of China

出　　处：《International Journal of Digital Earth》2023年第1期1108-1123,共16页国际数字地球学报（英文）

基　　金：supported by Independent innovation project-strategic special:[Grant Number 24720221004A-3];National Natural Science Foundation of China:[Grant Number 42106172].

摘　　要：Urban population explosion may increase ecological environment discomfort,thereby affecting negatively humans’mental and physical performance.Therefore,it is important to detect and monitor vegetation and predict its ecological benefits.The complex composition of urban environment ground objects,such as steel roofs,plastic courts,and building shadows,significantly interferes with vegetation detection and monitoring.The optimized hyperspectral image-based vegetation index(OHSVI)constructed in this study effectively solves this problem.However,it is difficult to accurately predict the ecological benefits of vegetation based on the two-dimensional vegetation information extracted based on remote sensing images;this is related to the three-dimensional(3D)structure of vegetation and the 3D pattern of buildings.Therefore,wefirst proposed the vegetation ecological benefits index(VEBI)based on the 3D structure of vegetation to reveal how vegetation acts on its 3D surroundings.The method was tested in a playground,an academic building,and a parking space.The results showed that the vegetation extraction accuracy of the OHSVI exceeded 93%,which is better than that of the existing indices.Ourfindings suggest that VEBI may be efficient in predicting 3D vegetation ecological benefits combined with remote sensing and lidar datasets.

关 键 词：Urban environment vegetation ecological benefits 3D landscape pattern LIDAR hyperspectral image 

分 类 号：Q94[生物学—植物学]