基于缨帽变换的铜陵市森林扰动监测  

Time Series Analysis of Forest Disturbance in Tongling City Based on Tasseled Cap Transformation

作　　者：唐欢 闫瑞瑞[2] TANG Huan;YAN Rui-rui(Tongling University,Tongling Anhui244061,China;Chinese Academy of Agricultural Sciences,Beijing 100081,China)

机构地区：[1]铜陵学院,安徽铜陵244061 [2]中国农业科学院,北京100081

出　　处：《铜陵学院学报》2023年第2期100-103,共4页Journal of Tongling University

基　　金：铜陵学院自然科学项目“大数据支持下的金寨县森林扰动监测及生态评价”(2018tlxy06)。

摘　　要：森林在陆地生态系统中具有调节气候、涵养水源、保持水土、防风固沙等方面的功能,对改善生态环境,维护生态平衡具有举足轻重的作用。目前,全球变化的研究迫切需要准确了解森林的动态变化,以帮助我们进行有效的资源管理,缓解全球环境变化的问题。文章以安徽省铜陵市为研究地区,选用了2009—2018年共10期的Landsat TM/ETM+/OLI数据,通过对土壤亮度、植被绿度以及相对气候湿度等信息进行了缨帽变换,得到了归一化森林扰动指数DI,最后结合时间序列进行分析,从而提取出了森林扰动的相关信息。结果表明,铜陵市2010年的扰动最为明显,受扰动森林面积超过300公顷,约占铜陵市森林覆盖面积的1.5%。Forest disturbance is an important factor which affects the terrestrial ecosystem,and the lack of data will affect the estimation of forest carbon flux.Remote sensing has the characteristics of wide coverage,timeliness and periodicity.For regional or larger scale detection,it can monitor forest disturbance more quickly.The Landsat images not only has a high resolution(30m),but also has a large number of free data acquisition sources,which is suitable for extracting the time series of forest disturbance information.In this paper,Tongling city is taken as the research area,which is located in Anhui province,the total 10 periods of Landsat TM/ETM+/OLI data from 2009 to 2018 are selected to be used,the soil brightness,vegetation greenness,humidity and other information are obtained by performing the Tasseled Cap Transformation,and a normalized disturbance index DI are established,finally,the forest disturbance information is analyzed and extracted by combining with the time series.The results show that the disturbance occurred in 2010 in Tongling city is most obvious,the forest area which is disturbed is more than 300ha,which accounts for the 1.5%of the forest cover area in Tongling city.

关 键 词：缨帽变换 Landsat时间序列影像 森林扰动 铜陵市 

分 类 号：P951[天文地球—自然地理学]