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Time Lag and Cumulative Effects of Extreme Climate on Coastal Vegetation in China 期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 3, 页码: 23
作者:  Dong, Tong;  Liu, Jing;  He, Panxing;  Shi, Mingjie;  Chi, Yuan;  Liu, Chao;  Hou, Yuting;  Wei, Feili;  Liu, Dahai
收藏  |  浏览/下载：13/0  |  提交时间：2024/04/07
lag-accumulation effects  climate change  gradual and abrupt analysis  coastal vegetation  
DeepBlue: Advanced convolutional neural network applications for ocean remote sensing 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, 2023, 页码: 24
作者:  Wang, Haoyu;  Li, Xiaofeng
Adobe PDF(4818Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2024/04/07
Retrieval of Subsurface Velocities in the Southern Ocean from Satellite Observations 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 24, 页码: 19
作者:  Xiang, Liang;  Xu, Yongsheng;  Sun, Hanwei;  Zhang, Qingjun;  Zhang, Liqiang;  Zhang, Lin;  Zhang, Xiangguang;  Huang, Chao;  Zhao, Dandan
Adobe PDF(4576Kb)  |  收藏  |  浏览/下载：9/0  |  提交时间：2024/04/07
subsurface velocity  light gradient boosting machine (LightGBM)  The Southern Ocean  satellite observations  long-term variability  
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：7/0  |  提交时间：2024/04/07
Guangxi Beibu Gulf  movable water bodies boundary  reclamation projects  spatio-temporal characteristics  hydrodynamics  drivers  
Global estimation of phytoplankton pigment concentrations from satellite data using a deep-learning-based model 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2023, 卷号: 294, 页码: 16
作者:  Li, Xiaolong;  Yang, Yi;  Ishizaka, Joji;  Li, Xiaofeng
收藏  |  浏览/下载：39/0  |  提交时间：2023/12/13
Phytoplankton pigments  Remote sensing  Deep learning  Satellite  Global Ocean  Phytoplankton community  El Nino  
Two-Dimensional Numerical Simulation of Tide and Tidal Current of Eight Major Tidal Constituents in the Bohai, Yellow, and East China Seas 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 15, 页码: 20
作者:  Liu, Zizhou;  Jiao, Shengyi;  Liu, Xingchuan;  Lv, Xianqing
收藏  |  浏览/下载：20/0  |  提交时间：2023/12/13
tide  tidal current  satellite altimeter observations  ROMS  
Validation and Evaluation of GRACE-FO Estimates with In Situ Bottom Pressure Array Measurements in the South China Sea 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 11, 页码: 17
作者:  Wang, Xuecheng;  Zheng, Hua;  Zhu, Xiao-Hua;  Zhao, Ruixiang;  Wang, Min;  Chen, Juntian;  Ma, Yunlong;  Nan, Feng;  Yu, Fei
收藏  |  浏览/下载：34/0  |  提交时间：2023/12/07
Gravity Recovery and Climate Experiment  pressure-recording inverted echo sounder  abyssal circulation  ocean bottom pressure  South China Sea  
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15
作者:  Ren, Yibin;  Li, Xiaofeng
收藏  |  浏览/下载：27/0  |  提交时间：2023/12/13
Predictive models  Atmospheric modeling  Sea ice  Numerical models  Arctic  Ocean temperature  Data models  Deep learning  Pan-Arctic  physically constrained loss function  sea ice concentration (SIC) prediction  subseasonal scale  
Exploiting Frequency-Domain Information of GNSS Reflectometry for Sea Surface Wind Speed Retrieval 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者:  Chen, Keran;  Zhou, Yuan;  Li, Shuoshi;  Wang, Ping;  Li, Xiaofeng
收藏  |  浏览/下载：66/0  |  提交时间：2023/12/13
Cyclone global navigation satellite system (CyGNSS)  deep learning  frequency domain  global navigation satellite system reflectometry (GNSS-R)  wind speed retrieval  
Hyperspectral Band Selection With Iterative Graph Autoencoder 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者:  Zhou, Yuan;  Yao, Qingren;  Huo, Shuwei;  Li, Xiaofeng
收藏  |  浏览/下载：24/0  |  提交时间：2023/12/07
Feature extraction  Iterative methods  Symmetric matrices  Hyperspectral imaging  Convolution  Correlation  Task analysis  Graph autoencoder (GAE)  graph representation  hyperspectral band selection (BS)  representativeness