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基于无人机遥感的“莫兰蒂”台风前后植被变化分析——以鼓浪屿为例
李渊1, 严泽幸1, 王德2
1.厦门大学;2.同济大学
摘要:
台风是沿海地区危害最为严重的自然灾害之一,高效、准确的灾害监测与评估为灾情的管理和决策提供了必不可少的条件。以“莫兰蒂”台风为例,利用无人机遥感影像提取台风前后的植被覆盖信息,通过计算、对比各自景观格局指数分析植被分布格局的变化,进一步通过对比图斑差异和计算受灾图斑的景观格局指数,分析鼓浪屿受灾图斑的分布情况与受灾细节。研究结果表明,鼓浪屿景观虽然存在较多小面积斑块,但整体格局呈集聚分布。台风未影响岛上景观的整体分布特征,台风前植被景观与非植被景观比例大致相等,分布均衡,台风后植被减少使非植被景观成为鼓浪屿的优势景观。受台风影响景观格局发生了较大改变,由台风前非植被斑块的景观破碎化程度高转变为台风后植被斑块景观破碎程度高,且台风后植被聚集程度有所减小。受灾区域呈现规律性分布,位于山体之上及周边无遮挡的开敞地区受灾更为严重,建筑密集区和受山体遮挡的区域受灾相对较轻。
关键词:  无人机  遥感  景观格局指数  “莫兰蒂”台风  鼓浪屿
DOI:
分类号:
基金项目:国家自然科学基金面上项目(编号41671141);福建省自然科学基金项目(编号2015J01226);中央高校基金项目(编号20720170046);厦门市科技局项目(编号3502Z20183005);厦门大学大学生创新创业训练计划项目(编号2016Y1143)
Analysis of Vegetation Changes Before and After the “Meranti” Typhoon Based on Unmanned Aerial Vehicle Remote Sensing: A Case Study of Gulangyu
LI Yuan1, YAN Zexing1, WANG De2
1.Xiamen University;2.Tongji University
Abstract:
Typhoon is one of the most serious natural disasters in coastal areas. Efficient and accurate disaster monitoring and assessment provide essential conditions for disaster management and decision-making. This study taking “Meranti” Typhoon as an example, Unmanned Aerial Vehicle (UAV) remote sensing images were used to extract the vegetation cover information before and after typhoon intrusion, and analyzed the change of vegetation distribution pattern through calculating and comparing the their landscape pattern indices, and further through the comparison of patch difference and the calculation of landscape pattern indices of affected patches, and analyzed the distribution pattern of affected patches in Gulangyu and the disaster details. The results of the study show that: 1) Although there were many small patches in the landscape of Gulangyu, the overall pattern shows a cluster distribution; 2) Typhoon did not affect the overall distribution characteristics of the island landscape. But the proportion of vegetation landscape and non-vegetation landscape was roughly equal and balanced before typhoon, and the reduce of vegetation after typhoon made the non-vegetation landscape the dominant landscape; 3) The landscape pattern changed greatly under the influence of typhoon. The degree of fragmentation of non-vegetation patches was high before typhoon changed to the vegetation patches after typhoon, and the degree of vegetation aggregation decreased after typhoon. 4) The affected areas are regularly distributed, the open areas above the mountain or had no occlusions around were more seriously affected, and the building concentrated areas and the areas blocked by mountains were slightly affected.
Key words:  unmanned aerial vehicle  remote sensing  landscape pattern index  “Meranti” Typhoon  Gulangyu
引用本文:李渊,严泽幸,王德.基于无人机遥感的“莫兰蒂”台风前后植被变化分析——以鼓浪屿为例[J].风景园林,2019,26(3):110-115.
LI Yuan,YAN Zexing,WANG De.Analysis of Vegetation Changes Before and After the “Meranti” Typhoon Based on Unmanned Aerial Vehicle Remote Sensing: A Case Study of Gulangyu[J].Landscape Architecture Journal, 2019, 26(3):110-115.