基于高时空分辨率卫星数据的气溶胶光学厚度反演系统

大气与环境光学学报 ›› 2018, Vol. 13 ›› Issue (2): 112-120.

基于高时空分辨率卫星数据的气溶胶光学厚度反演系统

杨久春1,2,李正强2,陈兴峰2,*,李保生1,侯伟真2,赵少帅2,3,葛邦宇2,3,马?2,张洋2

(1 合肥工业大学，安徽合肥 230009；
2 国家环境保护卫星遥感重点实验室，中国科学院遥感与数字地球研究所，北京 100101；
3 河南理工大学，河南焦作 454000)

收稿日期:2017-03-13 修回日期:2017-03-29 出版日期:2018-03-28 发布日期:2018-04-15
基金资助:
Supported by National Natural Science Foundation of China(国家自然科学基金，41501399，41505022）

Retrieval System of Aerosol Optical Depth Based on High Spatio-Temporal Resolution Satellite Data

YANG Jiuchun1,2, LI Zhengqiang2, CHEN Xingfeng2，*, LI Baosheng1, HOU Weizhen2, ZHAO Shaoshuai2,3, GE Bangyu2,3, MA Yan2, ZHANG Yang2

(1 Hefei University of Technology, Hefei 230009, China;
2 State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;
3 Henan Polytechnic University, Jiaozuo 454000, China)

Received:2017-03-13 Revised:2017-03-29 Published:2018-03-28 Online:2018-04-15
Supported by:
Supported by National Natural Science Foundation of China(国家自然科学基金，41501399，41505022）

摘要/Abstract

摘要：

卫星遥感技术是研究大气气溶胶时空变化规律的重要手段之一。高分四号卫星(GF-4)作为新一代静止卫星，不仅具备更多的可见-近红外波段，而且具有超高时空分辨率的特点，可以执行对固定区域连续观测或凝视扫描覆盖观测，为气溶胶光学厚度定量反演提供了有利条件。基于GF-4静止卫星超高时空分辨率卫星数据，在深入了解卫星观测模式及传感器波段对气溶胶反演敏感性基础上，基于地气时变差异核心思路，开发了针对GF-4超高时空分辨率数据气溶胶光学厚度反演算法；设计并实现了具备业务化反演气溶胶光学厚度能力的软件系统，软件系统具备多线程、全自动运行能力，满足卫星数据处理业务化需求。利用该系统对GF-4数据进行了处理和分析，通过地基仪器实测的气溶胶光学厚度进行了验证，取得了初步结果。结果表明，该系统具有良好的可靠性和稳定性，可以服务于大气颗粒物时空变化遥感监测。

关键词: 超高时空分辨率, 地气时变差异, 气溶胶光学厚度, 遥感反演系统

Abstract:

Satellite remote sensing is a useful and important tool to monitor the aerosol temporal and spatial changes. GF-4 satellite is a new generation geostationary satellite which has more spectral bands in visible to near infrared spectrum and high spatio-temporal resolution. GF-4 grabs images in fo-cusing and scanning observation modes. So GF-4 characteristics create a good condition for aerosol monitoring. Utilizing the ultra-high spatio-temporal resolution satellite data acquired by GF-4, an operational software system was designed to retrieve aerosol optical depth. The characteristics of GF-4 observation modes and the sensibility of sensor bands to aerosol retrieval were investigated. The retrieval algorithm of aerosol optical depth was developed for ultra-high spatio-temporal resolution satellite data of GF-4, with a core idea of time-varying difference of reflectance etween surface and atmosphere special for geostationary satellite. Then, an operational software system was developed. The software system has the capabilities of multithreading calculation and automatic operation, which meet the demands of satellite data operational processing. A series of GF-4 sat-ellite data were processed and validated by the ground-based experimental data, which can be got from the ground-based aerosol observation network. Preliminary results were obtained and indicate that the system has good reliability and stability. This remote sensing software system can be useful to monitor spatio-temporal changes of atmospheric particulates.

Key words: ultra-high spatio-temporal resolution, time-varying difference of reflectance etween surface and atmosphere, aerosol optical depth, remote sensing retrieval system

中图分类号:

杨久春李正强陈兴峰李保生侯伟真赵少帅葛邦宇马? 张洋. 基于高时空分辨率卫星数据的气溶胶光学厚度反演系统[J]. 大气与环境光学学报, 2018, 13(2): 112-120.

YANG Jiu-Chun, LI Zheng-Jiang, CHEN Xin-Feng, LI Bao-Sheng, HOU Wei-Zhen, DIAO Shao-Shuai, GE Bang-Yu, MA Yan, ZHANG ang. Retrieval System of Aerosol Optical Depth Based on High Spatio-Temporal Resolution Satellite Data[J]. Journal of Atmospheric and Environmental Optics, 2018, 13(2): 112-120.

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