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浏览/检索结果:
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Particle Size Distribution Slope Changes along the Yellow River Delta Observed from Sentinel 3A/B OLCI Images
期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 6, 页码: 18
作者:
Jin, Song
;
Zou, Tao
;
Xing, Qianguo
;
Zheng, Xiangyang
;
Fagherazzi, Sergio
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2024/05/07
remote sensing
particle size distribution slope
Yellow River Delta
Sentinel-3A/B OLCI
environmental factor
Monitoring Off-Shore Fishing in the Northern Indian Ocean Based on Satellite Automatic Identification System and Remote Sensing Data
期刊论文
SENSORS, 2024, 卷号: 24, 期号: 3, 页码: 19
作者:
Li, Jie
;
Xing, Qianguo
;
Li, Xuerong
;
Arif, Maham
;
Li, Jinghu
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2024/05/07
automatic identification system (AIS)
fishing vessels
spatial-temporal distribution
northern Indian Ocean
sea surface temperature (SST)
chlorophyll a concentration (Chl-a)
Feasibility of increasing marine carbon storage through olivine addition
期刊论文
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2023, 卷号: 11, 期号: 6, 页码: 13
作者:
Wang, Bin
;
Gao, Xuelu
;
Song, Jinming
;
Li, Xuegang
;
Yuan, Huamao
;
Xie, Lei
;
Zhao, Jianmin
;
Xing, Qianguo
;
Qin, Song
收藏
  |  
浏览/下载:142/0
  |  
提交时间:2024/01/26
CO2 sequestration
Ocean alkalinity enhancement
Carbonate pump
Ocean geoengineering
Marine ecosystems
Ecological risk
Effects of suspended particles and dispersants on marine oil snow formation of crude oil/diesel oil
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 页码: 16
作者:
Lv, Xin
;
Liu, Xin
;
Geng, Ruiying
;
Hu, Xiaoke
;
Tang, Cheng
;
Xing, Qianguo
;
Guo, Jie
;
Wang, Chuanyuan
收藏
  |  
浏览/下载:163/0
  |  
提交时间:2024/01/26
Marine oil snow
Dispersants
Suspended particles
Oil spill
The Dynamics of Floating Macroalgae in the East China Sea and Its Vicinity Waters: A Comparison between 2017 and 2023
期刊论文
WATER, 2023, 卷号: 15, 期号: 21, 页码: 15
作者:
Yu, Dingfeng
;
Li, Jinming
;
Xing, Qianguo
;
An, Deyu
;
Li, Jinghu
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2024/01/26
machine learning
floating algae
remote sensing
spectral features
Monitoring Suspended Sediment Concentration in the Yellow River Estuary and Its Vicinity Waters on the Basis of SDGSAT-1 Multispectral Imager
期刊论文
WATER, 2023, 卷号: 15, 期号: 19, 页码: 16
作者:
Hou, Yingzhuo
;
Xing, Qianguo
;
Zheng, Xiangyang
;
Sheng, Dezhi
;
Wang, Futao
;
Krishnappan, Bommanna
收藏
  |  
浏览/下载:104/0
  |  
提交时间:2024/01/26
Sustainable Development Goals Science Satellite 1
suspended sediment concentration
the Yellow River estuary
Laizhou Bay
the Bohai Sea
A Novel Approach of Monitoring Ulva pertusa Green Tide on the Basis of UAV and Deep Learning
期刊论文
WATER, 2023, 卷号: 15, 期号: 17, 页码: 14
作者:
Xing, Qianguo
;
Liu, Hailong
;
Li, Jinghu
;
Hou, Yingzhuo
;
Meng, Miaomiao
;
Liu, Chunli
收藏
  |  
浏览/下载:271/0
  |  
提交时间:2023/11/15
Ulva pertusa
U-Net
deep learning
remote sensing
unmanned aerial vehicle
Drivers of suspended sediment dynamics along the shorelines of the Yellow River Delta detected from satellite data
期刊论文
EARTH SURFACE PROCESSES AND LANDFORMS, 2023, 页码: 12
作者:
Jin, Song
;
Fagherazzi, Sergio
;
Fichot, Cedric G.
;
Wu, Xiao
;
Liu, Yan Xia
;
Zheng, Xiangyang
;
Zou, Tao
;
Xing, Qianguo
收藏
  |  
浏览/下载:107/0
  |  
提交时间:2024/01/26
sediments resuspension
shear stress
time-series satellite data
total suspended solids
Yellow River Delta
Biogeochemical Characteristics of Sedimentary Organic Matter in Coastal Waters of a Mariculture Area: The Big Impact of Bay Scallop Farming
期刊论文
SUSTAINABILITY, 2023, 卷号: 15, 期号: 13, 页码: 23
作者:
Yang, Bo
;
Gao, Xuelu
;
Liu, Jin
;
Xie, Lei
;
Zhao, Jianmin
;
Xing, Qianguo
;
Donnici, Sandra
;
Tosi, Luigi
;
Tang, Cheng
收藏
  |  
浏览/下载:89/0
  |  
提交时间:2024/01/26
sedimentary organic matter
biopolymeric carbon
coastal environment
scallop farming
burial flux
carbon cycle
SSANet: An Adaptive Spectral-Spatial Attention Autoencoder Network for Hyperspectral Unmixing
期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 8, 页码: 21
作者:
Wang, Jie
;
Xu, Jindong
;
Chong, Qianpeng
;
Liu, Zhaowei
;
Yan, Weiqing
;
Xing, Haihua
;
Xing, Qianguo
;
Ni, Mengying
收藏
  |  
浏览/下载:139/0
  |  
提交时间:2023/11/15
hyperspectral unmixing
spectral-spatial attention mechanism
deep learning
autoencoder