Hezhenjia Zhang

ORCID: 0009-0004-8961-0231
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About
Contact & Profiles
Research Areas
  • Coastal and Marine Dynamics
  • Remote Sensing and LiDAR Applications
  • Coastal wetland ecosystem dynamics
  • Flood Risk Assessment and Management
  • Aeolian processes and effects
  • Tropical and Extratropical Cyclones Research
  • 3D Surveying and Cultural Heritage
  • Hydrology and Watershed Management Studies
  • Archaeological Research and Protection
  • Water resources management and optimization
  • Ocean Waves and Remote Sensing

Shanghai Maritime University
2022-2024

This study presents an in-depth analysis of the dynamic beach landscapes Hainan Island, which is located at southernmost tip China. Home to over a hundred natural and predominantly sandy beaches, Island confronts significant challenges posed by frequent marine disasters human activities. Addressing urgent need for long-term studies dynamics, this research involved use CoastSat extract analyze shoreline data from 20 representative beaches calculate slopes 119 around island period 2013 2023....

10.3390/w16071034 article EN Water 2024-04-03

Morphodynamic variabilities of tidal flats (e.g., the variations pattern, area, and topography) are a key issue in management coastal intertidal zones. In this study, morphodynamic Lin-gang (Shanghai) flat were investigated using waterlines extracted from multi-source satellite images acquired 2013 to 2020. The evaluated against situ measurements. results our investigation indicated that was state rapid accretion 2015 2018, erosion 2018 We found most likely due protection local vegetation,...

10.3390/rs14164123 article EN cc-by Remote Sensing 2022-08-22

Estuarine reservoirs are critical for freshwater supply and security, especially regions facing water scarcity challenges due to climate change population growth. Conventional methods assessing drought severity or monitoring reservoir level storage often limited by data availability, accessibility quality. We present an approach estuarine levels, extreme via satellite remote sensing waterline detection. Based on the CoastSat algorithm, Landsat-8 Sentinel-2 images from 2013 2022 were adopted...

10.3390/rs16060980 article EN cc-by Remote Sensing 2024-03-11

This paper addresses the intricate challenges of coastal management, particularly in rapidly forming tidal flats, emphasizing need for innovative monitoring strategies. The dynamic topography, exemplified by a newly formed flat Shanghai, underscores urgency advancements risk recognition. By utilizing digital twin framework integrated with state-of-the-art unmanned aerial vehicles (UAVs), we systematically evaluate three configurations and identify optimal setup incorporating real-time...

10.3390/app14072879 article EN cc-by Applied Sciences 2024-03-29

Abstract With the development of unmanned aerial vehicle (UAV) technology, its application in scientific fields, such as coastal monitoring, has become increasingly prevalent. The utilization multi-sensor UAV platforms made and highly repetitive monitoring feasible. This study employs three commercially available systems with representative characteristics to generate Digital Surface Models (DSM) Lingang Tidal Flat (Shanghai), evaluate DSMs produced by each comparing in-situ measurements....

10.21203/rs.3.rs-3152882/v1 preprint EN cc-by Research Square (Research Square) 2023-07-17
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