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Enhanced Impact of Land Reclamation on the Tide in the Guangxi Beibu Gulf 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 21, 页码: 20
作者:  Lu, Jingfang;  Zhang, Yibo;  Cao, Ruichen;  Lv, Xianqing;  Xu, Minjie;  Gao, Guandong;  Liu, Qiang
Adobe PDF(12662Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/07
Guangxi Beibu Gulf  movable water bodies boundary  reclamation projects  spatio-temporal characteristics  hydrodynamics  drivers  
An Improved Altimeter in-Orbit Range Noise-Level Estimation Approach Based on Along-Track Differential Method 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 24, 页码: 19
作者:  Liu, Xiaonan;  Kong, Weiya;  Sun, Hanwei;  Xu, Yongsheng;  Lu, Yaobing
收藏  |  浏览/下载：52/0  |  提交时间：2023/11/16
altimeter in-orbit noise level  along-track differential method  power spectrum density analysis  Sentinel-6  ocean swells  
Distinct Variability between Semidiurnal and Diurnal Internal Tides at the East China Sea Shelf 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 11, 页码: 20
作者:  Wang, Weidong;  Robertson, Robin;  Wang, Yang;  Zhao, Chen;  Hao, Zhanjiu;  Yin, Baoshu;  Xu, Zhenhua
Adobe PDF(6447Kb)  |  收藏  |  浏览/下载：139/0  |  提交时间：2022/07/18
internal tides  spatiotemporal variation  East China Sea  modal structure  energy cascade  
Internal Tides and Their Intraseasonal Variability on the Continental Slope Northeast of Taiwan Island Derived from Mooring Observations and Satellite Data 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 1, 页码: 19
作者:  Yin, Yuqi;  Liu, Ze;  Zhang, Yuanzhi;  Chu, Qinqin;  Liu, Xihui;  Hou, Yijun;  Zhao, Xinhua
Adobe PDF(42686Kb)  |  收藏  |  浏览/下载：183/0  |  提交时间：2022/04/12
internal tides  Kuroshio Current  intraseasonal  acoustic doppler current profiler (ADCP)  mesoscale eddy  
Prediction of Changeable Eddy Structures around Luzon Strait Using an Artificial Neural Network Model 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 2, 页码: 23
作者:  Kong, Yuan;  Zhang, Lu;  Sun, Yanhua;  Liu, Ze;  Guo, Yunxia;  Fang, Yong
Adobe PDF(8689Kb)  |  收藏  |  浏览/下载：181/0  |  提交时间：2022/04/12
eddy structure  ANN  prediction  Luzon Strait  
Weak Mesoscale Variability in the Optimum Interpolation Sea Surface Temperature (OISST)-AVHRR-Only Version 2 Data before 2007 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 2, 页码: 17
作者:  Zhu, Yanan;  Li, Yuanlong;  Wang, Fan;  Lv, Mingkun
Adobe PDF(28910Kb)  |  收藏  |  浏览/下载：205/1  |  提交时间：2022/04/12
mesoscale eddies  mesoscale air-sea interaction  mesoscale SST anomalies  OISST data  western boundary current  
Satellite Investigation of Semidiurnal Internal Tides in the Sulu-Sulawesi Seas 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 13, 页码: 20
作者:  Zhao, Xiaoyu;  Xu, Zhenhua;  Feng, Ming;  Li, Qun;  Zhang, Peiwen;  You, Jia;  Gao, Song;  Yin, Baoshu
Adobe PDF(32931Kb)  |  收藏  |  浏览/下载：185/0  |  提交时间：2021/12/07
semidiurnal internal tides  the Sulu-Sulawesi Seas  sea surface height  plane wave fit method  energy flux  
Spatiotemporal Variability of Mesoscale Eddies in the Indonesian Seas 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 5, 页码: 27
作者:  Hao, Zhanjiu;  Xu, Zhenhua;  Feng, Ming;  Li, Qun;  Yin, Baoshu
Adobe PDF(17830Kb)  |  收藏  |  浏览/下载：195/0  |  提交时间：2021/04/21
mesoscale eddies  the Indonesian Seas  sea level anomaly  nonlinearity  barotropic instability  baroclinic instability  
Long-Term Changes in the Unique and Largest Seagrass Meadows in the Bohai Sea (China) Using Satellite (1974-2019) and Sonar Data: Implication for Conservation and Restoration 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 5, 页码: 16
作者:  Xu, Shaochun;  Xu, Shuai;  Zhou, Yi;  Yue, Shidong;  Zhang, Xiaomei;  Gu, Ruiting;  Zhang, Yu;  Qiao, Yongliang;  Liu, Mingjie
Adobe PDF(5040Kb)  |  收藏  |  浏览/下载：333/0  |  提交时间：2021/04/21
seagrass  Zostera marina L.  remote sensing  reclamation  spatial and temporal changes  
Estimation of Significant Wave Heights from ASCAT Scatterometer Data via Deep Learning Network 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 18
作者:  Wang, He;  Yang, Jingsong;  Zhu, Jianhua;  Ren, Lin;  Liu, Yahao;  Li, Weiwei;  Chen, Chuntao
Adobe PDF(5257Kb)  |  收藏  |  浏览/下载：206/1  |  提交时间：2021/04/21
Advanced Scatterometer (ASCAT)  significant wave height  WaveWatch III  deep learning  multi-hidden-layer neural network