中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共9条，第1-9条

帮助

条数/页：排序方式：
	Estimating sub-daily resolution soil moisture using Fengyun satellite data and machine learning 期刊论文 OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 632, 页码: 130814 作者: Wang, Jiao; Zhang, Yongqiang; Song, Peilin; Tian, Jing \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2024/04/08 Soil Moisture Sub-daily resolution Passive Microwave Artificial Neural Network Fengyun-3
	Observations of different populations of radiation belt electrons by FengYun 3C: An analysis of the 17 March 2015 geomagnetic storm event 期刊论文 OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2023, 卷号: 66, 期号: 6, 页码: 2252-2262 作者: Hu LiFan; Xiang Zheng; Gu XuDong; Ni BinBin; Zhang XiaoXin \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2024/01/02 FengYun 3C satellite Geomagnetic storm Trapped electrons Quasi-trapped electrons Untrapped electrons
	Comprehensive assessment of Fengyun-3 satellites derived soil moisture with in-situ measurements across the globe 期刊论文 OAI收割 JOURNAL OF HYDROLOGY, 2021, 卷号: 594, 页码: 18 作者: Liu, Yangxiaoyue; Zhou, Yuke; Lu, Ning; Tang, Ronglin; Liu, Naijing \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2021/07/09 Fengyun-3 satellites Soil moisture Integrity Accuracy Evaluation
	Comprehensive assessment of Fengyun-3 satellites derived soil moisture with in-situ measurements across the globe 期刊论文 OAI收割 JOURNAL OF HYDROLOGY, 2021, 卷号: 594, 页码: 18 作者: Liu, Yangxiaoyue; Zhou, Yuke; Lu, Ning; Tang, Ronglin; Liu, Naijing \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2021/07/09 Fengyun-3 satellites Soil moisture Integrity Accuracy Evaluation
	l(p)-ICP Coastline Inflection Method for Geolocation Error Estimation in FY-3 MWRI Data 期刊论文 OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 16, 页码: 20 作者: Zhao, Xinghui; Chen, Na; Li, Weifu; Peng, Jiangtao; Shen, Lijun \| 收藏 \| 浏览/下载：84/0 \| 提交时间：2019/12/16 MWRI FengYun-3 geolocation error coastline inflection method l(P) sparse regularization optimization iterative closest point
	l(0 )Sparse Approximation of Coastline Inflection Method on FY-3C MWRI Data 期刊论文 OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 期号: 1, 页码: 85-89 作者: Li, Weifu; Luo, Zhicheng; Liu, Chengbo; Liu, Jiazheng; Shen, Lijun \| 收藏 \| 浏览/下载：118/0 \| 提交时间：2019/07/12 Coastline inflection method (CIM) FengYun-3C (FY-3C) geolocation l(0) sparse microwave radiation imager (MWRI)
	Global ionospheric scintillations revealed by GPS radio occultation data with FY3C satellite before midnight during the March 2015 storm 期刊论文 OAI收割 Advances in Space Research, 2019 作者: Wang, Guojun; Shi, Jiankui; Bai, Weihua; Galkin, Ivan; Wang, Zeng \| 收藏 \| 浏览/下载：206/0 \| 提交时间：2019/03/05 Fengyun 3c Satellite Radio Occultation Ionospheric Scintillations Geomagnetic Storm
	A COMPARISON OF THE RETRIEVAL OF ATMOSPHERIC TEMPERATURE PROFILES USING OBSERVATIONS OF THE 60 GHZ AND 118.75 GHZ ABSORPTION LINES 期刊论文 OAI收割 JOURNAL OF TROPICAL METEOROLOGY, 2018, 卷号: 24, 期号: 2, 页码: 151 作者: He Qiu-rui; Wang Zhen-zhan; He Jie-ying; Zhang Lan-jie \| 收藏 \| 浏览/下载：51/0 \| 提交时间：2018/10/30 Fengyun-3C satellite Microwave Temperature Sounder-II microwave humidity and temperature sounder one-dimensional variational retrieval algorithm neural networks retrieval algorithm
	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：136/0 \| 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.