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Inversion and Evaluation of Oil Thickness Based on a C-Band Microwave Experiment 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Jie, Guo;  Jing, Ma
收藏  |  浏览/下载：0/0  |  提交时间：2024/05/07
C-band full polarization scatterometer  damping ratio (DR)  normalized radar cross section (NRCS)  oil film thickness (OFT) inversion  synthetic aperture radar (SAR) oil spill image  
Influence of the type of sea waves on the backscattered radar cross section at medium incidence angles 期刊论文
IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS, 2016, 卷号: 52, 期号: 9, 页码: 904-910
作者:  Karaev, V. Yu.;  Panfilova, M. A.;  Jie, Guo
Adobe PDF(844Kb)  |  收藏  |  浏览/下载：549/281  |  提交时间：2017/04/06
Sea Waves  Scatterometer  Backscattered Radar Cross Section  Wind Speed  Wave Age  Classification Of Sea Waves  Wind Speed Retrieval Algorithms  
Global air-sea surface carbon-dioxide transfer velocity and flux estimated using ERS-2 data and a new parametric formula 期刊论文
ACTA OCEANOLOGICA SINICA, 2013, 卷号: 32, 期号: 7, 页码: 78-87
作者:  Yu Tan;  He Yijun;  Zha Guozhen;  Song Jinbao;  Liu Guoqiang;  Guo Jie;  He, YJ (reprint author), Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Jiangsu, Peoples R China. yjhe@nuist.edu.cn
浏览  |  Adobe PDF(3171Kb)  |  收藏  |  浏览/下载：810/223  |  提交时间：2014/07/08
Gas Transfer Velocity  Carbon Dioxide Flux  Wave Steepness  European Remote Sensing Scatterometer  
Wave steepness retrieved from scatterometer data in a genetic algorithm 期刊论文
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2012, 卷号: 30, 期号: 2, 页码: 336-341
作者:  Guo Jie;  He Yijun
浏览  |  Adobe PDF(4263Kb)  |  收藏  |  浏览/下载：872/271  |  提交时间：2012/06/13
Wave Steepness  Genetic Algorithm  Scatterometer Data  Buoy Data  
A new model to estimate significant wave heights with ERS-1/2 scatterometer data 期刊论文
CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2009, 卷号: 27, 期号: 1, 页码: 112-116
作者:  Guo Jie;  He Yijun;  Perrie, William;  Shen Hui;  Chu Xiaoqing
Adobe PDF(347Kb)  |  收藏  |  浏览/下载：746/2  |  提交时间：2013/03/21
Scatterometer  Significant Wave Height  Neural Networks  Wind Waves  Swell