基于卫星影像的青岛老城区绿色植被健康退化状况分类

Qingdao Old City Green Vegetation Health Degradation Condition Classification Based on Satellite Images

以青岛老城区绿色植被健康退化状况为研究对象,在2010-2015年这5年的时间阶段内,利用支持向量机-决策树算法对青岛老城区的TM卫星影像数据进行处理和分析,对卫星影像中的绿色植被健康指数进行计算,并进行不同种类植被的多波段色彩合成,获得青岛老城区绿色植被的特征变化情况,结合秃斑地盖度、绿色植被比例、风沙侵蚀的危害、退化指示种的比例4个指标即可详尽表达青岛老城区的退化信息,从而实现青岛老城区绿色植被健康退化状况的准确分析,为青岛老城区未来的发展规划提供了准确的依据。

In Qingdao old city green vegetation health degradation condition as the research object, in2010-2010, the five year period, - the decision tree algorithm based on support vector machine （SVM）impact on the old city of Qingdao TM satellite data processing and analysis, the satellite images of thegreen vegetation health index is calculated, and different kinds of vegetation of multichannel syntheticcolour, for Qingdao old city changes in the characteristics of green vegetation, combined with the baldspot coverage, the proportion of green vegetation, sand erosion hazard, degradation of the indicatorspecies proportion of four indicators can express the degradation of the Qingdao old city detailedinformation, so as to realize the Qingdao old city green vegetation health degradation situation of accurateanalysis, for the future development of Qingdao old city planning provides the accurate basis.