Many studies have investigated the impacts of typhoons on natural vegetation, but the influencing factor of urban vegetation damage from super typhoon is not clear. Therefore, this study investigated the vegetation damage patterns in eight cities affected by Typhoon Mangkhut (the 2nd strongest tropical storm worldwide in 2018) using the normalized difference vegetation index (NDVI) derived from Sentinel-2 images. The vegetation damage maps have an overall accuracy of 97% using the very high-resolution WorldView-3 images as reference data. The results show that (1) The typhoon-induced vegetation damage show high spatial heterogeneity in urban areas and varies with land cover types. Residential greenspace and street trees are more susceptible to typhoon disturbance than natural vegetation. (2) Wind intensity is still an important factor in urban vegetation damage (r² = 0.43, P value <0.001). (3) Urban vegetation damage positively relates to vegetation sparseness for all cities (r: 0.39–0.89, P value <0.01), whereas negatively correlated to the height of surrounding buildings (r = −0.57, P value <0.01), suggesting that both biotic and abiotic factors of the urban environment have influences on the resistance of vegetation to storms. This study provides insights into the resistance and resilience of urban vegetation to strong typhoons that can be used for urban forestry planning and management.

许多研究调查了台风对自然植被的影响，但超强台风对城市植被破坏的影响因素尚不清楚。因此，本研究使用源自 Sentinel-2 图像的归一化差异植被指数 (NDVI) 调查了受台风山竹（2018 年全球第二强热带风暴）影响的八个城市的植被破坏模式。使用高分辨率 WorldView-3 图像作为参考数据，植被破坏图的整体精度为 97%。结果表明：（1）台风引起的植被破坏在城市地区表现出高度的空间异质性，并随土地覆盖类型而变化。住宅绿地和行道树比自然植被更容易受到台风干扰。²  = 0.43，P 值 <0.001）。(3) 城市植被破坏与所有城市的植被稀疏度呈正相关（r：0.39-0.89，P值<0.01），而与周围建筑物高度呈负相关（r=-0.57，P值<0.01），表明城市环境的生物和非生物因素都会影响植被对风暴的抵抗力。这项研究提供了有关城市植被对强台风的抵抗力和恢复力的见解，可用于城市林业规划和管理。