【摘要】 遥感数据为土地利用/覆盖变化提供了海量数据来源,如何选择合适空间分辨率的遥感影像进行特定地区的土地利用/覆盖变化研究,成为土地利用/覆盖变化研究的一个重要内容。地统计学方法已经广泛应用与遥感图像处理以及土地覆盖分类研究中,但应用于土地利用/覆盖变化的研究还比较缺乏。北京地区为研究区,运用遥感和地统计分析方法对该区土地利用/覆盖变化的空间结构的变异特征和合理的遥感影像数据源的选取问题做了初步探讨。研究表明地统计学方法能够揭示土地利用/覆盖变化的空间变异特征,有助于选择有效的遥感影像数据进行不同地区的土地利用/覆盖变化分析。更多还原

【Abstract】 Remote sensing technology provides abundant data for land use/ cover change research and this paper wishes to select an appropriate spatial resolution to study land use/ cover change in the specified region.Now geostatistical methodology is used increasingly in many aspects of remote sensing image processing and land cover classification,but it is seldom used to research land use/ cover changes.The paper analyzes the spatial variation features of land use/ cover changes with variogram function and selects appropriate spatial resolution of remote sensing data.The results of case study in Beijing show that :(1)the variogram function and Moran’s I are effective tools to calculate and interpret the spatial variability of the land use/ cover changes and establish a suitable spatial resolution of remote sensing data for land use/ cover changes monitoring;(2)land use/ cover changes have the evident feature of spatial autocorrelation and the spatial variability is positively correlative with distance;(3)the patches’ size and fragmentation affect the feature of spatial variability of the land use/ cover changes;(4)land use/ cover changes show different spatial structure and variability with the difference of study area.The remote sensing image should be selected according to the features of study area.In the case study of Beijing,the paper found that the images with the spatial resolution which less than 150 m,350 m and 500 m are appropriate for the land use/ cover change study in the high-density urban area,border of high-density urban area and the mixed area of town,village and farmland.更多还原