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国土资源遥感  2017, Vol. 29 Issue (3): 143-148    DOI: 10.6046/gtzyyg.2017.03.21
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
基于GIOVANNI的我国主要城市与西部地区2000—2014年气溶胶光学厚度的对比
周嘉源1, 施润和1, 2, 3
1.华东师范大学地理科学学院,上海 200241;
2.华东师范大学地理信息科学教育部重点实验室, 上海 200241;
3.华东师范大学、中国科学院遥感与数字地球研究所环境遥感与数据同化联合实验室,上海 200241
A comparative analysis of AOD in main cities and the western region of China from 2000 to 2014 based on GIOVANNI
ZHOU Jiayuan1, SHI Runhe1, 2, 3
1. School Of Geographic Sciences, East China Normal University, Shanghai 200241, China;
2. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China;
3. Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai 200241, China
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摘要 遥感方法反演的气溶胶光学厚度(aerosol optical depth, AOD)是开展区域空气质量研究的关键数据源。研究长时间序列AOD需要对AOD条带产品进行时空尺度拓展,涉及一系列复杂、专业的数据处理。为了便于非遥感专业科研工作者准确使用该数据,美国宇航局(NASA)研发了新一代的遥感数据在线分析平台GIOVANNI(GES-DISC interactive online visualization and analysis infrastructure),但该平台在国内尚未得到广泛应用。本文以北京、上海、广州与西部地区为研究区,基于多年时间序列变化特征对平台缺失数据进行了插补,进而开展了“北上广”超大城市地区与西部地区2000—2014年的AOD月数据的对比分析。研究表明,北京、上海、广州与西部地区相比,AOD多年平均值显著较高,其中上海最高,北京次之; 北京和上海的AOD值具有春夏高、秋冬低的季节差异性; 虽然“北上广”近15 a来AOD年平均值的变化趋势不显著,但上海与广州的AOD时间序列存在相似性。
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周晓宇
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关键词 多时相双极化ALOS PALSAR支持向量机森林精确制图世界自然遗产地    
Abstract:Retrievals of aerosol optical depth (AOD) is the key data sources to carry out the study of regional air quality. The study of a long-time series of AOD needs the temporal spread and spatial expansion of AOD stripe products, involving a series of complex and professional data processing. In order to help the non-remote sensing professional researchers to correctly use the data, NASA has developed a web service workflow-based data visualization and analysis system- GIOVANNI, but this system has not yet been widely used in China. In this paper, choosing Beijing, Shanghai, Guangzhou and the western region of China as the study areas, the authors interpolated the missing data based on the variation characteristics of multi-year time series. On such a basis, the authors carried out a comparative analysis of the monthly values of AOD in main cities and the western region of China from 2000 to 2014 based on GIOVANNI. The results show that, compared with things in the western region, the averages of multi-year values of AOD in Beijing, Shanghai and Guangzhou were significantly higher, of which Shanghai was the highest, followed by Beijing. AOD in Beijing and Shanghai had significant seasonal differences, and exhibited the high levels in spring and summer and the low levels in autumn and winter. Although the averages of annual values of AOD in Beijing, Shanghai and Guangzhou showed anon significant trend from 2000 to 2014, the time series of AOD in Shanghai and Guangzhou had similarity.
Key wordsmulti-temporal    dual-polarization    ALOS PALSAR    support vector machine(SVM)    forest mapping    world natural heritage site
收稿日期: 2015-07-24      出版日期: 2017-08-15
基金资助:国家重点研发计划项目“主要恶性肿瘤发病相关的大数据获取、挖掘及利用研究”(编号: 2016YFC1302602)、上海市卫计委重点学科建设项目“环境卫生与劳动卫生学”(编号: 15GWZK0201)和上海市科委项目“暴雨灾害时空多源数据集成与分析研究”(编号: 15dz1207805)共同资助
通讯作者: 施润和(1979-),男,博士,副教授,主要从事定量遥感研究。Email:rhshi@geo.ecnu.edu.cn
作者简介: 周嘉源(1994-),女,本科生,主要从事遥感应用研究。Email:znana_99@163.com。
引用本文:   
周嘉源, 施润和. 基于GIOVANNI的我国主要城市与西部地区2000—2014年气溶胶光学厚度的对比[J]. 国土资源遥感, 2017, 29(3): 143-148.
ZHOU Jiayuan, SHI Runhe. A comparative analysis of AOD in main cities and the western region of China from 2000 to 2014 based on GIOVANNI. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 143-148.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2017.03.21      或      https://www.gtzyyg.com/CN/Y2017/V29/I3/143
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