Yongcun Cheng

ORCID: 0000-0002-9980-8004
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About
Contact & Profiles
Research Areas
  • Oceanographic and Atmospheric Processes
  • Ocean Waves and Remote Sensing
  • Geophysics and Gravity Measurements
  • Climate variability and models
  • Marine and coastal ecosystems
  • Tropical and Extratropical Cyclones Research
  • Arctic and Antarctic ice dynamics
  • Oil Spill Detection and Mitigation
  • Coastal and Marine Dynamics
  • Methane Hydrates and Related Phenomena
  • Geological and Geophysical Studies
  • Marine and coastal plant biology
  • Flood Risk Assessment and Management
  • Mercury impact and mitigation studies
  • Arsenic contamination and mitigation
  • Heavy metals in environment
  • Water Quality Monitoring and Analysis
  • Atmospheric chemistry and aerosols
  • Musculoskeletal synovial abnormalities and treatments
  • Meteorological Phenomena and Simulations
  • Toxic Organic Pollutants Impact
  • Urban Design and Spatial Analysis
  • Soil Moisture and Remote Sensing
  • Coastal wetland ecosystem dynamics
  • Precipitation Measurement and Analysis

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2024

Ministry of Natural Resources
2024

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2021-2022

Shanghai Ocean University
2018-2019

Old Dominion University
2014-2017

Nanjing University of Information Science and Technology
2014-2016

DTU Space
2010-2015

Dominion University College
2015

Technical University of Denmark
2011-2014

State Key Laboratory of Satellite Ocean Environment Dynamics
2011

The accuracy of state-of-the-art global barotropic tide models is assessed using bottom pressure data, coastal gauges, satellite altimetry, various geodetic data on Antarctic ice shelves, and independent tracked orbit perturbations.Tide under review include empirical, purely hydrodynamic ("forward"), assimilative dynamical, i.e., constrained by observations.Ten dominant tidal constituents in the diurnal, semidiurnal, quarter-diurnal bands are considered.Since last major model comparison...

10.1002/2014rg000450 article EN Reviews of Geophysics 2014-07-18

A new global ocean tide model named DTU10 (developed at Technical University of Denmark) representing all major diurnal and semidiurnal tidal constituents is proposed based on an empirical correction to the FES2004 (Finite Element Solutions), with residual tides determined using response method. The improvements are achieved by introducing 4 years TOPEX–Jason 1 interleaved mission into existing 18 (1993–2010) primary joint TOPEX, Jason 1, 2 time series. Hereby spatial distribution...

10.1029/2011jc007172 article EN Journal of Geophysical Research Atmospheres 2011-08-12

The Shell North Sea Gannet Alpha platform oil spill accident occurred on August 10, 2011. This was the largest in United Kingdom waters last decade. spills were observed four COSMO-SkyMed (CSK) X-band synthetic aperture radar (SAR) images acquired between 17 and 22, 2011, with revisit time from 11 h to 3 days SAR acquisitions. areas of slicks extracted using an existing image classification segmentation algorithm. It found that moved toward southwest slick size enlarging 3.69 62.01 km2 first...

10.1109/jstars.2014.2341574 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2014-07-01

A massive green tide (i.e., Ulva prolifera bloom) event in summer 2015 the Yellow Sea was investigated using satellite imagery and a trajectory model. First, occurrence evolution of macroalgal bloom were studied based on time series cloud-free Moderate Resolution Imaging Spectroradiometer during May to August Floating Algae Index detection method. Lagrangian spill model, i.e., General NOAA (National Oceanic Atmospheric Administration) Operational Modeling Environment (GNOME) which originally...

10.1109/jstars.2016.2580000 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2016-06-28

In this study, an Attention U-net network was proposed to reconstruct the subsurface temperature (ST) field with high temporal and spatial resolution in South China Sea (SCS) from sea surface parameters observed by satellites. addition temperature, level anomaly wind field, stress curl, which influences three-dimensional structure of through induced Ekman pumping transport, also input into model. The 5-day average vertical profiles 0.5° Simple Ocean Data Assimilation (SODA) reanalysis...

10.1109/tgrs.2022.3200545 article EN IEEE Transactions on Geoscience and Remote Sensing 2022-01-01

For ocean and climate research, it is essential to get long-term altimetric sea level data that as accurate possible. However, the accuracy of frequently degraded in interior Arctic Ocean due presence seasonal or permanent ice. We have reprocessed ERS-1/2/Envisat satellite altimetry develop an improved 20-year dataset for Ocean. developed both along-track three-day gridded anomaly (SLA) maps from September 1992 April 2012. A major improvement coverage was gained by tailoring standard editing...

10.1080/01490419.2014.954087 article EN Marine Geodesy 2014-12-15

We evaluated the association of cardiorespiratory fitness and physical activity to mortality in 7,855 women 25,218 men examined during 1970–1994. All participants were apparently healthy completed a maximal exercise test on treadmill. Participants followed date death or 12/31/94 for survivors. There 102 deaths 743 men. assigned 3 categories (Sedentary, Active = up 19.9 MET hours/week, Highly active ≥ 20 hours/week), (Low least fit 20%, Moderate next 40%, High most 40%). was significant...

10.1097/00005768-200105001-01549 article EN Medicine & Science in Sports & Exercise 2001-05-01

High-resolution salinity information is of great significance for understanding the marine environment. We here propose a deep learning model denoted “Attention U-net network” to reconstruct daily fields on 1/4° grid in interior South China Sea (SCS) from satellite observations surface variables including sea salinity, temperature, level anomaly, and wind field. The vertical profiles GLORYS2V4 reanalysis product provided by Copernicus Marine Environment Monitoring Service were used training...

10.3389/fmars.2023.1168486 article EN cc-by Frontiers in Marine Science 2023-05-08

Detailed information about mangroves is crucial for ecological and environmental protection sustainable development. It difficult to capture small patches of from satellite images with relatively low medium resolution. In this study, high-resolution (0.8–2 m) Chinese GaoFen (GF) ZiYuan (ZY) series satellites were used map the distribution in coastal areas Guangdong Province, China. A deep-learning network, U2-Net, attention gates was applied extract multi-scale images. The results showed...

10.3390/app13148526 article EN cc-by Applied Sciences 2023-07-24

The incomplete eye structure during the generation and weakening stages of tropical cyclones (TCs) makes it difficult to accurately locate low-intensity TCs in satellite infrared (IR) images. Here, we develop a physics-enhanced deep convolutional neural network (CNN) determine centers depressions (TDs) storms (TSs) with maximum sustained wind speed (MSW) below 63 kt. This is accomplished by integrating consecutive IR images from Himawari-8 geostationary historical information including...

10.1109/tgrs.2024.3363842 article EN IEEE Transactions on Geoscience and Remote Sensing 2024-01-01

10.1016/j.dsr2.2010.02.005 article EN Deep Sea Research Part II Topical Studies in Oceanography 2010-02-26

While global mean sea level rise (SLR) and acceleration (SLA) are indicators of climate change informative regarding the current state climate, assessments regional local SLR essential for policy makers responding to, preparing for, changes in level. In this work, three detection techniques used to demonstrate robust SLA China Seas. Interannual multidecadal variations (periods >2 years), which mainly related natural internal variability significantly affect estimation acceleration,...

10.3390/w8070293 article EN Water 2016-07-15

In this paper, the capability of advanced scatterometer (ASCAT) in measuring surface wind speed coastal waters China was first evaluated by comparing with <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in situ</i> observations from 13 moored buoys during period July 2013 to December 2015. The performs well most regions China. However, a sharp reduction retrieval accuracy is found areas adjacent Yangtze River estuary. mean bias and...

10.1109/jstars.2018.2817568 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018-04-18

10.1016/j.csr.2017.09.009 article EN publisher-specific-oa Continental Shelf Research 2017-09-01

The exploration of sea level variability from multiple satellite altimetry measurements in the Baltic Sea is yet to be performed due lack reliable data, especially near coast. In present study, number available altimeter was increased by 96% coastal regions replacing radiometer wet troposphere correction with model-based correction. data show good agreement monthly tide gauge mean a root square difference (RMSD) 3.4 cm and correlation coefficient 0.97 at 42 gauges Sea, higher RMSD lower Gulf...

10.1080/01431161.2015.1043405 article EN International Journal of Remote Sensing 2015-05-12
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