信息熵是系统有序化的一个量度,能较好地反映土地利用系统的有序程度。论文以南京长江新济洲国家湿地公园最大的洲滩新济洲为研究对象,以2003年和2008年7月的QuickBird高分辨率遥感影像和2013年7月的Worldview-2遥感数据包为信息源,运用信息熵对其土地利用结构变化进行时间序列、空间差异及驱动因素分析。研究表明1)2003—2013年,随着退人退耕、生态恢复工程的进展,研究区域土地类型呈现多样化趋势;2)2003—2013年,南京市新济洲土地利用结构信息熵、均衡度处于不断上升态势;3)2013年信息熵在空间布局上略有差异,大致呈现出以南北两处湖泊为核心的由内而外逐渐变大的分布趋势;4)地理加权回归分析表明,信息熵与坡度、道路密度、距建筑距离、土壤有机质4个因子成正相关。研究结果可为湿地公园可持续经营规划的制定提供科学依据。

Entropy is a measurement of ordering system,which can reflect the order degree of land-use system better.In this paper,the largest marshland Xinjizhou in Yangtze Xinjizhou National Wetland Park was chosen as the case study area,while the high-resolution remote sensing images of QuickBird in July,2003 and 2008,remote sensing data of Worldview-2 in July,2013,were collected as the main source of information.Entropy of land use was calculated to analyze the temporal-spatial change of land-use structure and driving factors.Study results showed that(1)with the advancement of project of returning people from wetland to land,returning cropland to forest and ecological recovery,the land-use types in the study area presented diversified trends during the period from 2003 to 2013;(2)entropy and equilibrium degree of land use in Xinjizhou had been rising from 2003 to 2013;(3)There was a slight difference of entropy in the spatial distribution in 2013,roughly showing an gradually increasing trend from the inside to outside with two lakes in the north and south as the distribution centers;(4)geographically weighted regression analysis showed that entropy was positively related with slope,road density,building distance and content of soil organic matter.The research results may provide a scientific basis for the formulation of sustainable management of the wetland park .