摘要
美国新一代环境气象卫星NPP/联合极轨卫星系统(JPSS)增加了可见光红外成像辐射仪(VIIRS)白天/夜间波段(DNB)的微光昼夜成像通道,继承了国防气象卫星计划(DMSP)线性扫描业务系统(OLS)收集全球微光成像数据的能力,并在性能上有大幅提升,利用VIIRS DNB数据可以进行夜间城市灯光探测。针对中国中东部经济快速发展区域城市灯光产品的迫切需求,综合考虑云层、月光、太阳照射、闪电、火灾等因素的影响,对低质量数据和非灯光特征数据进行识别和剔除,采用VIIRS DNB多天夜间数据进行融合,将多天无月光的有效灯光辐亮度数据进行平均,生成中国中东部地区夜间城市灯光的月合成产品。将本算法生成的产品与美国国家海洋和大气管理局(NOAA)业务城市灯光产品的辐射亮度值进行对比验证后发现,两者具有可比性。所开发的城市灯光融合产品算法为后端的衍生应用及其他夜间微光遥感产品的反演奠定了技术基础。
As part of the next-generation American environmental meteorological satellites, the NPP/Joint Polar Satellite System (JPSS) has introduced the Visible Infrared Image Radiometer Suite (VIIRS) Day and Night Band (DNB) low-light day/night imaging band. DNB employs the ability of defense meteorological satellite program (DMSP)/Operational Linescan System (OLS) to collect global low-light imaging data, which has resulted in a considerably optimized performance. The nighttime city lights can be detected using the VIIRS DNB data. Because of the urgent requirement for city lights in the rapidly developing regions that are located in mid-eastern China, this study comprehensively considers the influence of various important factors, including clouds, moonlight, sunlight, lightning, and fire, while identifying and rejecting low-quality data and non-light characteristic data in addition to adopting VIIRS DNB multi-day nighttime data fusion. The average of multi day non moonlit effective radiance data is used to generate monthly nighttime city lights in mid-eastern China. The results that are obtained by analyzing the radiance value of the product are comparable with those obtained by analyzing the National Oceanic and Atmospheric Administration (NOAA) city lights business product. The city lights fusion product algorithm, which is developed in this study, provides the technical foundation to develop the back-end generative application and for the inversion of the remaining low-light remote-sensing nighttime products.
作者
余越
胡秀清
闵敏
许廷发
何玉青
陈林
徐榕焓
Yu Yue1, Hu Xiuqing2,3, Min Min2,3, Xu Tingfa1, He Yuqing1, Chen Lin2,3, Xu Ronghan2(1 Key Laboratory of Photoelectric Imaging Technology and System of Ministry of Education, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China ;2 National Satellite Meteorologicat Center, China Meteorological Administration, Beijing 100081, China 3 Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites China Meteorological Administration, Beijing 100081, China)
出处
《激光与光电子学进展》
CSCD
北大核心
2018年第10期366-373,共8页
Laser & Optoelectronics Progress
基金
国家重点研发计划(2018YFB0504902)
国家自然科学基金(41471302)
国家高技术研究发展计划(863计划)(2015AA123704)
公益气象行业专项(GYHY201506074)
关键词
遥感
微光
城市灯光
多时相融合
辐射亮度
remote sensing
low-light
city lights
multi-temporal fusion
radiance