Abstract
Typhoons are the main cause of disturbances in the natural environment of coastal cities. Typhoons often damage the urban green space (UGS) of coastal cities, and the spatial pattern of such damages provides important information for disaster recovery. For acquiring such information, remote sensing technology offers a fast and effective means. This study investigated the spatial pattern of typhoon damage to UGS using Sentinel-2 data. To this end, the damage caused by Typhoon Meranti to the UGS of Xiamen Island (including Gulangyu Island) in 2016 was taken as a case study. The results showed that the overall area without vegetation coverage increased by 1159.7 ha. Areas with high vegetation coverage experienced less damage than areas with low vegetation coverage. A coldspot map of damage clusters was generated, and the map showed that severely damaged green areas were distributed in a striped pattern, indicating serious damage to road greening. In terms of direction, east-west roads experienced a higher degree of damage than north-south roads. The determined spatial pattern of the damage caused by Typhoon Meranti on the UGS of Xiamen Island provides a basis for the post-disaster restoration of the landscape of Xiamen Island.
Highlights
Typhoon disasters are natural disasters caused by tropical cyclones (Lee et al 2008, Rossi et al 2013)
The damage caused by Typhoon Meranti to the urban green space (UGS) of Xiamen was quantitatively analyzed using remote sensing and geospatial analysis methods, and the spatial pattern of the damage was characterized using remote sensing image data
To quantitatively analyze the damage caused by Typhoon Meranti to the UGS of Xiame the difference between the NDVI of the study area before and after the typhoon was calculated the dNDVI, i.e., the NDVI value of the post-typhoon image minus that of the pre-typhoon imag
Summary
Typhoon disasters are natural disasters caused by tropical cyclones (Lee et al 2008, Rossi et al 2013). The monitoring of typhoon damage to the natural environment has received extensive attention from scholars. In this regard, research has been conducted considering various aspects, such as the carbon cycle, forest management, and post-disaster recovery process (Lee et al 2008, Wang et al 2010, Zhang et al 2013). Optical remote sensing data is used in the analysis of environmental damage caused by typhoons, focusing on changes in vegetation and land use (Wang et al 2010, Zhang et al 2013). The damage caused by Typhoon Meranti to the UGS of Xiamen was quantitatively analyzed using remote sensing and geospatial analysis methods, and the spatial pattern of the damage was characterized using remote sensing image data. The findings provide deeper insight into the mechanism of typhoon damage, which would serve as a basis for the restoration of the UGS after the disaster
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