THE SYNERGY OF FY-3A AND MODIS FOR THE RETRIEVAL OF AEROSOL OPTICAL DEPTH OVER LAND

机译：FY-3A和MODIS协同作用于陆地上气溶胶光学深度的反演

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

The accuracy of domestic satellite aerosol optical depthrn(AOD) products is limited, especially over land.rnBecause Dark Dense Vegetation (DDV) algorithm hasrnbeen well established over the oceans but this is not therncase over the land. In this paper, an approach byrnexploiting the synergy of FengYun-3A (FY-3A) andrnModerate Resolution Imaging Spectroradiometerrn(MODIS) data were presented, which can be used forrnvarious ground surfaces, including for high reflectivernsurface. The derived AOD is compared to AerosolrnRobotic Network (AERONET) observations in Asianrnarea (15°-60°N, 35°-150°E) and a retrieval absoluternerror was around 0.1 is found. This method can berneasily popularized to be used on FY series satellite;rnespecially after the FengYun-3B launched in the future.

机译：国内卫星气溶胶光学深度（AOD）产品的准确性受到限制，特别是在陆地上。由于在海洋上已经建立了深密度植被（DDV）算法，但是在陆地上并非如此。本文提出了一种利用风云3A（FY-3A）和中等分辨率成像光谱仪（MODIS）数据的协同作用的方法，该方法可用于各种地面，包括高反射面。将得出的AOD与Asianrnarea（15°-60°N，35°-150°E）中的气溶胶机器人网络（AERONET）观测值进行比较，发现绝对误差约为0.1。这种方法可以很容易地推广到风云系列卫星上；特别是在未来的“风云3B”发射之后。

著录项

来源
《Proceedings of earth observation for land-atmosphere interaction science.》|2010年|p.1-4|共4页
会议地点 Frascati(IT)
作者
Linlu Mei; Yong Xue; Jie Guang; Yingjie Li; Ying Wang; Hui Xu; Ziqiang Chen; XinweiHe; Jianwen Ai; Shuzheng Jiang; Xijuan Jiao;
展开▼
作者单位

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Graduate University of the Chinese Academy of Sciences, Beijing 100049, China Email: meilinlu@163.com;

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Faculty of Computing, London Metropolitan University, 166-220 Holloway Road, London N7 8DB, UK Email: yxue@irsa.ac.cn;

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

Center for Earth Observation and Digital Earth of the Chinese Academy of Sciences, Beijing 100101, China Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

Guangdong Electronics Industry Institute, Dongguan 523808, China;

Shandong University of Science and Technology, Qingdao 266510, China;

Shandong University of Science and Technology, Qingdao 266510, China;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类航天（宇宙航行）;
关键词

相似文献

外文文献
中文文献
专利

1. Multisensor Data Synergy of Terra-MODIS, Aqua-MODIS, and Suomi NPP-VIIRS for the Retrieval of Aerosol Optical Depth and Land Surface Reflectance Properties [J] . Shuaiyi Shi, Tianhai Cheng, Xingfa Gu, IEEE Transactions on Geoscience and Remote Sensing. . 2018,第11期

机译：Terra-MODIS，Aqua-MODIS和Suomi NPP-VIIRS的多传感器数据协同作用，用于气溶胶光学深度和地面反射特性的检索
2. An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals [J] . E. J. Hyer, J. S. Reid, J. Zhang Atmospheric Measurement Techniques . 2011,第3期

机译：用于过滤，校正和聚合MODIS Collection 5光学深度检索数据的陆上气溶胶光学深度数据集
3. An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals [J] . E. J.Hyer, J. S.Reid, J.Zhang Atmospheric Measurement Techniques . 2011,第3期

机译：用于过滤，校正和聚合MODIS Collection 5光学深度检索数据的陆上气溶胶光学深度数据集
4. THE SYNERGY OF FY-3A AND MODIS FOR THE RETRIEVAL OF AEROSOL OPTICAL DEPTH OVER LAND [C] . Linlu Mei, Yong Xue, Jie Guang, Conference on earth observation for land-atmosphere interaction science . 2011

机译：在土地上检索气溶胶光学深度的FY-3A和MODIS的协同作用
5. Investigating the effects of ocean bubbles on enhanced aqua-MODIS aerosol optical depth retrievals in the mid-to-high latitude southern oceans. [D] . Christensen, Matt. 2014

机译：研究中高纬度南部海洋中气泡对增强的Aqua-MODIS气溶胶光学深度反演的影响。
6. MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water [O] . Yi Wang, Jun Wang, Robert C. Levy, -1

机译：浑浊沿海水气溶胶光学深度的MODIS反演
7. An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals [O] . E. J. Hyer, J. S. Reid, J. Zhang 2011

机译：用于过滤，校正和聚合MODIS Collection 5光学深度检索数据的陆上气溶胶光学深度数据集
8. Validation of MODIS Aerosol Optical Depth Retrieval Over Land [R] . Chu, D. A. , Kaufman, Y. J. , Ichoku, C. , 2001

机译：mODIs气溶胶光学深度反演的验证

THE SYNERGY OF FY-3A AND MODIS FOR THE RETRIEVAL OF AEROSOL OPTICAL DEPTH OVER LAND

摘要

著录项

相似文献

相关主题

期刊订阅