基于空间变异理论的地表覆被时空变化监测方法  

The monitoring method of the surface vegetation based on the spatial variation analysis

作　　者：李晓东[1,2] 李相坤[1] 姜琦刚[1] 

机构地区：[1]吉林大学地球探测科学与技术学院,吉林长春130012 [2]白城师范学院地理科学学院,吉林白城137000

出　　处：《草业科学》2015年第6期877-885,共9页Pratacultural Science

基　　金：中国地质调查局项目(1212010911084);吉林省科技发展计划资助项目(20140101211JC);吉林省教育厅"十二五"科学技术研究项目(2013-391号;吉林省西部盐碱化草地植被恢复关键技术研究);吉林省重点科技攻关项目(20130206027NY)

摘　　要：本研究将吉林西部作为研究区域,基于空间统计分析方法,以R语言为平台,编写了逐像元计算的变异分析算法,将变程作为分析变量并以影像数据形式输出,得出地表覆被时序变化的区域性特点:1)本研究区地表覆被的时序变化具有明显的区域性。镇赉县(研究区北部)地表覆被的变程(13~14.5个旬值,195~220 d)明显低于通榆县(研究区南部)的地表覆被变程(15~16个旬值,225~240 d);2)时序变化因地表植被覆盖度的不同而发生改变。镇赉县的地表覆被生长变化更有规律,通榆县的地表覆被生长变化状况相对复杂,波动振幅较大;3)湿地这类特殊的地表植被类型在变异分析中具有特殊的变程。湿地是小变程数值(小于12个旬值,180 d)集中分布的区域,值域范围与周围其他不同植被覆盖度的变程有明显区分。本研究用半方差函数提取了地表植被的物候信息,分析了地表覆盖的时空分布特点,希望能为基于时间序列数据的遥感分类解译研究提供新的分析方法和研究思路。Based on the geostatistics analysis,the spatial variation analysis algorithm was conducted to calculate the range value according to each pixel with R which was outputted with the image data form. The analysis of the temporal and spatial distribution characteristics of the surface vegetation in the western of Jilin showed that they had regional characteristics. The range value of the surface vegetation in Zhenlai( north of the studied area) which was 13~ 14. 5 ten days and 195 ~ 220 d was significantly lower than that in Tongyu( south of the studied area) which was15 ~ 16 ten days and 225 ~ 240 d. The range value of the surface vegetation coverage changed due to the difference of surface vegetation types. The range value of the surface vegetation in Zhenlai was more regular than the other areas,while that in Tongyu had large fluctuation range due to the relatively complex earth's surface vegetation. The range value of the surface vegetation in the wetland was special as the special surface vegetation which concentrated within minimum variation value( less than 12 ten days,180 d) and had significant different with other areas. The present study analysis the spatial distribution of vegetation after extraction of temporal changes in vegetation using semivariance function which provided a new method for the remote sensing interpretation research.

关 键 词：变异函数 变程 农牧过渡带 区域性 

分 类 号：Q948[生物学—植物学]