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基于GDP格网的中国大陆城市DMSP/OLS稳定灯光数据饱和标定方法; A Novel Method for Saturation Effect Calibration of DMSP/OLS Stable Light Product Based on GDP Grid Data in China Mainland at City Level
景欣 ; 晏艺真 ; 晏磊 ; 赵红颖
刊名地理与地理信息科学
2017
关键词DMSP/OLS DMSP/OLS stable light saturation calibration GDP grid data 稳定灯光 饱和标定 GDP格网数据
DOI10.3969/j.issn.1672-0504.2017.01.007
英文摘要DMSP稳定灯光数据产品因其灰度级较低(6 bit),通常导致数据在城市中心区域达到饱和,限制了其对城市化进程(如建成区面积)、社会经济发展(如能耗)等关键指标的宏观统计与高精度应用.该文提出一种GDP格网数据辅助去饱和方法,以2010年中国大陆地区DMSP/OLS稳定灯光数据饱和最为严重的36个城市为研究对象,基于该年的GDP格网数据对稳定灯光数据产品进行饱和标定,标定后各城市灯光总和均得到合理提升.为了验证方法的有效性,对标定前后的城市灯光总和与城市建成区面积和能源消耗量两个社会经济指标进行了相关分析,结果表明,标定后的相关系数分别从0.63和0.57提高到0.67和0.61,说明基于GDP格网数据标定方法能够提高稳定灯光数据的应用精度.; DMSP/OLS stable light data reflects various aspects of human activities.It is useful to monitor socioeconomic phenomena and has been widely used in several areas,such as urbanization,air pollution,power consumption surveillance,disaster detection,population estimation,etc.,and the nighttime data can even do better than conventional methods in some specific conditions.However,since the OLS sensor has no onboard calibration system,the DMSP/OLS stable light data have only six-bit quantization and a limited dynamic range of 0 ~ 63.The data are normally saturated over bright urban areas,which limits the usefulness of their application.In China,there are significant saturation effects in many urban areas and the information miss in these saturation areas.Thirty-six saturated cities in China mainland were selected as the study area,and each city had either more than 200 saturated pixels or 1% higher ratio of saturated pixels.Then a novel approach using Chinese 1 km2 geospatial distributions of Gross Domestic Product (GDP) grid data from 2010 to reduce the saturation effect in China at city level has been presented.The results reveal that the Sum Of Light (SOL) in all selected cities increased reasonably after using the GDP auxiliary calibration method.To validate the new method,two socioeconomic parameters (Built-Up Area (BUA) and Power Consumption (PWC)) were selected for correlation analysis with the corrected light data.The correlation coefficients between corrected SOL and BUA and PWC increased from 0.63 and 0.57 to 0.67 and 0.61,respectively.Thus,the GDP auxiliary method can be applied effectively to conditions in China.; 国家自然科学基金项目“遥感云图-电磁波-热红外对地震等重大地质灾害的预测机理”; 北京市科学技术委员会专项“小卫星/无人机海量遥感影像快速高精度拼接技术”; 中国科学引文数据库(CSCD); 1; 35-39; 33
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/477721]  
专题地球与空间科学学院
推荐引用方式
GB/T 7714
景欣,晏艺真,晏磊,等. 基于GDP格网的中国大陆城市DMSP/OLS稳定灯光数据饱和标定方法, A Novel Method for Saturation Effect Calibration of DMSP/OLS Stable Light Product Based on GDP Grid Data in China Mainland at City Level[J]. 地理与地理信息科学,2017.
APA 景欣,晏艺真,晏磊,&赵红颖.(2017).基于GDP格网的中国大陆城市DMSP/OLS稳定灯光数据饱和标定方法.地理与地理信息科学.
MLA 景欣,et al."基于GDP格网的中国大陆城市DMSP/OLS稳定灯光数据饱和标定方法".地理与地理信息科学 (2017).
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