摘要
采用决策树、归一化光谱混合分析(NSMA)方法,参照全国土地分类标准,分类解译汕头市2006年ETM+数据,并获取不同粒度系列景观类型图。在此基础上,借助Fragstats 3.3软件,从类型水平和景观水平两方面分别选取8个景观指数指标,探讨不同粒度景观类型图条件下,景观指数随粒度变化的特征。结果表明,类型水平上景观指数粒度效应变化明显,但规律性不易把握;景观水平上,随着粒度的增加,多数指数呈现尺度效应且存在尺度转折点。参照指数特征及转折点确定汕头市ETM+数据土地利用景观指数计算的适宜粒度范围(150～210 m)。
In this paper, the decision tree and normalized spectral mixed analysis（NSMA） methods were used as a basic classifying way to analyze the ETM＋ data of Shantou city. Referencing to the national land classification standards, the land use of Shantou was divided into six types, viz. water, agriculture land, construct land, forest and grass land, beach and the other land. On the basis of classification of land use, the landscape map of different grains could be created. Then using Fragstats 3.3 software, the landscape indices were calculated from the class level and landscape level. There were 8 landscape indices on each level be chosen to analyze the grain effects of Shantou. The research results showed that almost all the landscape indices from the landscape level had obvious grain effects and scale turning points when the grain ranged from 30 m to 450 m. The grain range from 150 m to 210 m was taken as the first scale domain which was regarded as a better choice for the appropriate grain size of Shantou .
出处
《地理与地理信息科学》
CSCD
北大核心
2008年第6期93-96,共4页
Geography and Geo-Information Science
基金
建设部科技资助项目(2007-K9-26)
广州市属高校科技计划项目(62026)
广州大学创新科研团队项目
关键词
土地利用
景观指数
粒度
尺度域
汕头市
land use
landscape indices
grain
scale domain
Shantou city
