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A Biological-Parameter-Optimized Modeling Study of Physical Drivers Controlling Seasonal Chlorophyll Blooms off the Southern Coast of Java Island 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2022, 卷号: 127, 期号: 11, 页码: 23
作者:  Gao, Guandong;  Yang, Dezhou;  Xu, Lingjing;  Zhang, Kun;  Feng, Xingru;  Yin, Baoshu
Adobe PDF(7181Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2023/01/04
Picophytoplankton in the West Pacific Ocean: A Snapshot 期刊论文
FRONTIERS IN MICROBIOLOGY, 2022, 卷号: 13, 页码: 13
作者:  Wang, Feng;  Wei, Yuqiu;  Zhang, Guicheng;  Zhang, Linlin;  Sun, Jun
Adobe PDF(4938Kb)  |  收藏  |  浏览/下载：143/0  |  提交时间：2022/07/18
picophytoplankton  carbon-to-Chlorophyll a  environmental factors  Western Pacific Ocean  abundance  
Effect of subsea dispersant application on deepwater oil spill in the South China Sea 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2022, 页码: 19
作者:  Chen, Haibo
Adobe PDF(3020Kb)  |  收藏  |  浏览/下载：164/0  |  提交时间：2022/04/12
underwater oil spill  numerical simulation  chemical dispersants  South China Sea  contingency planning  
Establishing a Risk Assessment Framework for Marine Assets and Assessing Typhoon Lekima Storm Surge for the Laizhou Bay Coastal Area of the Bohai Sea, China 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 卷号: 10, 期号: 2, 页码: 23
作者:  Li, Jian;  Mo, Dongxue;  Li, Rui;  Hou, Yijun;  Liu, Qingrong
Adobe PDF(4981Kb)  |  收藏  |  浏览/下载：244/0  |  提交时间：2022/04/12
risk assessment  storm surge  affected infrastructure  emergency response and recovery capability  Lekima  
Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Wang, Chong;  Zheng, Gang;  Li, Xiaofeng;  Xu, Qing;  Liu, Bin;  Zhang, Jun
Adobe PDF(4821Kb)  |  收藏  |  浏览/下载：227/0  |  提交时间：2022/02/18
Estimation  Ocean temperature  Clouds  Tropical cyclones  Cyclones  Training  Geostationary satellites  Convolutional neural network (CNN)  deep learning  remote sensing  tropical cyclone (TC)  
A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:  Ren, Yibin;  Li, Xiaofeng;  Xu, Huan
Adobe PDF(12529Kb)  |  收藏  |  浏览/下载：144/0  |  提交时间：2022/02/18
Marine vehicles  Radar polarimetry  Feature extraction  Synthetic aperture radar  Data mining  Radar imaging  Oceans  Custom loss function  deep learning (DL)  deep neural network (DNN) regression  ship size extraction  synthetic aperture radar (SAR) image  
The Fusion of Physical, Textural, and Morphological Information in SAR Imagery for Hurricane Wind Speed Retrieval Based on Deep Learning 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13
作者:  Mu, Shanshan;  Li, Xiaofeng;  Wang, Haoyu
Adobe PDF(2103Kb)  |  收藏  |  浏览/下载：220/0  |  提交时间：2022/07/18
Hurricanes  Synthetic aperture radar  Wind speed  Radar polarimetry  Sea surface  Sea measurements  Data models  Deep learning  hurricane wind  synthetic aperture radar (SAR)