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Geolocation Error Estimation and Correction on Long-Term MWRI Data 期刊论文  OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 11, 页码: 9448-9461
作者:  
Liu, Jiazheng;  Li, Weifu;  Peng, Jiangtao;  Shen, Lijun;  Han, Hua
  |  收藏  |  浏览/下载:39/0  |  提交时间:2021/12/28
The potential of a constellation of low earth orbit satellite imagers to monitor worldwide fossil fuel CO(2)emissions from large cities and point sources 期刊论文  OAI收割
CARBON BALANCE AND MANAGEMENT, 2020, 卷号: 15, 期号: 1, 页码: 12
作者:  
Lespinas, Franck;  Wang, Yilong;  Broquet, Gregoire;  Breon, Francois-Marie;  Buchwitz, Michael
  |  收藏  |  浏览/下载:32/0  |  提交时间:2021/03/16
The potential of a constellation of low earth orbit satellite imagers to monitor worldwide fossil fuel CO(2)emissions from large cities and point sources 期刊论文  OAI收割
CARBON BALANCE AND MANAGEMENT, 2020, 卷号: 15, 期号: 1, 页码: 12
作者:  
Lespinas, Franck;  Wang, Yilong;  Broquet, Gregoire;  Breon, Francois-Marie;  Buchwitz, Michael
  |  收藏  |  浏览/下载:30/0  |  提交时间:2021/03/16
Edge Plasma Enhancements of Equatorial Plasma Depletions Observed by All-Sky Imager and the C/NOFS Satellite 期刊论文  OAI收割
JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2018, 卷号: 123, 期号: 10, 页码: 8835-8849
作者:  
Wu, Kun;  Xu, Jiyao;  Xiong, Chao;  Yuan, Wei
  |  收藏  |  浏览/下载:52/0  |  提交时间:2019/01/07
Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (EI CONFERENCE) 会议论文  OAI收割
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.; Gu L.; Chen H.; Cao J.
收藏  |  浏览/下载:138/0  |  提交时间:2013/03/25
Comparing with optical remote sensing techniques  passive remote sensing data have been proved to be effective for observing snowpack parameters such as snow depth and snow water equivalent  which can penetrate snowpack without clouds interferences. The Microwave Radiation Imager (MWRI) loaded on the Chinese FengYun-3B (FY-3B) satellite is gradually used in the global environment research through November  2011. In this paper  we proposed a snow depth retrieval algorithm to estimate snow depth in Northeast China using MWRI passive microwave remote sensing data. A decision tree method of snow identification was firstly designed to distinguish different snow cover conditions in order to eliminate other interference signals. After using the proposed decision tree method  the processing results were further used to retrieve the snow depth in Northeast China. Finally  the practical snow depth data and the MODIS data were collected for the accuracy assessment of the proposed snow depth retrieval method. The experimental results demonstrated that the RMSE of snow depth used the proposed method was approximately 3 cm in Northeast China. 2012 SPIE.