摘要
由于DMSP/OLS夜间灯光数据本身的缺陷,存在过饱和问题、不连续性和波动性问题,数据间也不存在可比性,在应用此项数据前需对其进行校正。本文将基于ArcGIS软件,以中国区域为例,提出一套较为完整的DMSP/OLS夜间灯光数据的校正方法。其中包括利用参考年份和不变区域对数据运用二次回归分析计算完成过饱和校正、对同一年份不同传感器收集的数据取值和求平均值的方法完成传感器校正,根据我国城市化发展趋势,对栅格数据重新计算完成年际间校正。将1992-2013年共34期夜间灯光数据进行系统的校正,去除了夜间灯光数据中的非正常值,解决了数据的波动性,使其更具有连续性,稳定性和可比性。数据结果评估中灯光数据亮值数量和像元灰度值总和都呈现增长态势,发展轨迹符合我国城市化发展趋势,证明了DMSP/OLS夜间灯光数据校正结果良好。
Due to the defects of DMSP/OLS nighttime light data,there are problems of oversaturation,discontinuity and volatility,and there is no comparability between the data.Therefore,the data should be corrected before application.Based on ArcGIS software and taking China as an example,this paper proposes a relatively complete calibration method for DMSP/OLS nighttime light data.It includes using the reference year and invariable region to complete the supersaturation correction of data by quadratic regression analysis,completing the sensor correction by means of the value and average of data collected by different sensors in the same year,and completing the inter-annual correction of raster data by recalculation according to the urbanization development trend in China.A total of 34 periods of nighttime light data from 1992 to 2013 were systematically corrected to remove abnormal values in nighttime light data,solve the volatility of data,and make it more continuous,stable and comparable.In the evaluation of data results,both the number of brightness values of light data and the sum of pixel gray values show an increasing trend,and the development trajectory is in line with the development trend of Urbanization in China,which proves that DMSP/OLS nighttime light data correction results are good.
作者
卢吉瑞
赵阳
吕绍伦
陈万基
Lu Jirui;Zhao Yang;Lv Shaolun;Chen Wanji(Institute of Resources and Ecology,Yili Normal University,Yining 835000,China;College of Biological and Geographical Sciences,Yili Normal University,Yining 835000,China)
出处
《科学技术创新》
2022年第17期1-5,共5页
Scientific and Technological Innovation
基金
伊犁师范大学资源与生态研究所开放课题(YLNURE202208)。
