Scale dependence of autocorrelation from a remote sensing perspective
Spatial autocorrelation has been proved to be a useful tool in many fields,including spatial heterogeneity research and spatial structure investigation.With the increasing of remote sensors,images of different resolutions are being acquired and put into usage.So how to select images of appropriate spatial resolution becomes to be a great challenge.Therefore,its necessary to investigate the scale dependence of the spatial autocorrelation in remotely sensed images,as Jupp et al (1989) has declared that the spatial autocorrelation in an image is related with the spatial resolution.In this paper,panchromatic band of the QuickBird imagery is aggregated into a series of images of coarser spatial resolution and used to investigate the scaling effects.Both global and local spatial autocorrelation measures at different scales are calculated.Results show that global autocorrelation increases as the resolution becomes coarser and lag distance decreases.Local autocorrelation shows dependence on scale and the land cover type.Its necessary to combine global and local measures together to explore the intrinsic of spatial autocorrelation.
scale dependence spatial autocorrelation remotely sensing
Shoujing Yin Xiaoling Chen Zhifeng Yu Yechao Sun Yushu cheng
State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing (LIESMARS),W State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing (LIESMARS),W Henan General Institute of surveying and Mapping of Geology,Henan Province,P.R.China,450006
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）