Articles | Volume 16, issue 11
https://doi.org/10.5194/essd-16-5311-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-5311-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Spatio-temporal changes in China's mainland shorelines over 30 years using Landsat time series data (1990–2019)
Gang Yang
Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Ke Huang
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
Lin Zhu
Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China
Weiwei Sun
CORRESPONDING AUTHOR
Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China
Chao Chen
School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
Xiangchao Meng
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
Lihua Wang
Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China
Yong Ge
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
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13 citations as recorded by crossref.
- Development of island-specific land-use classification system and spatiotemporal pattern evolution analysis using Landsat time series for coastal zone management: A case study of Zhoushan Archipelago, China T. Ren et al. https://doi.org/10.1016/j.ecolind.2025.114158
- Towards a strategic framework for coastal vulnerability assessment and adaptive management: a review P. M M et al. https://doi.org/10.1080/09715010.2026.2618738
- Hierarchical Wetland Mapping in the East China Sea Based on Integrated Multifaceted Source Features J. Wang et al. https://doi.org/10.3390/rs18071023
- Detecting urban functional zones changes via multi-source temporal fusion of street view and remote sensing imagery C. Yang et al. https://doi.org/10.1016/j.jag.2025.104933
- Impact of urbanization on land surface temperature: A global perspective A. Mohamed et al. https://doi.org/10.1016/j.crsust.2025.100315
- First Observation of Offshore Gradient of CO2 and CH4 Concentration in Southeast China from 21° N to 32° N Based on Shipborne Campaign Y. Xu et al. https://doi.org/10.3390/atmos17020214
- Mathematical Modeling of the Caspian Sea Geometry Under Water Level Decline: Evidence from Iran’s Mazandaran Coast M. Ghorbani https://doi.org/10.11648/j.ijtam.20251103.12
- Modeling CO2 fluxes in coastal wetlands of China using explainable sequence-based deep learning N. Nguyen et al. https://doi.org/10.1016/j.ecoinf.2026.103766
- Coastal squeeze and multi-scenario risk assessment in China, 1985–2024 Y. Liu & H. Zeng https://doi.org/10.1016/j.eiar.2025.108248
- Spatiotemporal Analysis of Shoreline Dynamics Using Satellite Imagery and Geospatial Tools: a Case Study of the Coast of Sfax, Tunisia H. Sahnoun et al. https://doi.org/10.1007/s41748-025-00839-0
- Tidal Modulation of Waves over the Changjiang River Estuary: Long-Term Observations and Coupled Modeling Z. Zhang et al. https://doi.org/10.3390/jmse14070635
- Cordgrass invasion amplifies microplastic hazard through polymer-selective retention in coastal wetlands F. Su et al. https://doi.org/10.1016/j.watres.2026.125667
- Deep Learning-Based Automated Coastline Extraction From Satellite Imagery: A Sentinel-2 Benchmark Dataset Approach T. Hu et al. https://doi.org/10.1109/JSTARS.2026.3677791
13 citations as recorded by crossref.
- Development of island-specific land-use classification system and spatiotemporal pattern evolution analysis using Landsat time series for coastal zone management: A case study of Zhoushan Archipelago, China T. Ren et al. https://doi.org/10.1016/j.ecolind.2025.114158
- Towards a strategic framework for coastal vulnerability assessment and adaptive management: a review P. M M et al. https://doi.org/10.1080/09715010.2026.2618738
- Hierarchical Wetland Mapping in the East China Sea Based on Integrated Multifaceted Source Features J. Wang et al. https://doi.org/10.3390/rs18071023
- Detecting urban functional zones changes via multi-source temporal fusion of street view and remote sensing imagery C. Yang et al. https://doi.org/10.1016/j.jag.2025.104933
- Impact of urbanization on land surface temperature: A global perspective A. Mohamed et al. https://doi.org/10.1016/j.crsust.2025.100315
- First Observation of Offshore Gradient of CO2 and CH4 Concentration in Southeast China from 21° N to 32° N Based on Shipborne Campaign Y. Xu et al. https://doi.org/10.3390/atmos17020214
- Mathematical Modeling of the Caspian Sea Geometry Under Water Level Decline: Evidence from Iran’s Mazandaran Coast M. Ghorbani https://doi.org/10.11648/j.ijtam.20251103.12
- Modeling CO2 fluxes in coastal wetlands of China using explainable sequence-based deep learning N. Nguyen et al. https://doi.org/10.1016/j.ecoinf.2026.103766
- Coastal squeeze and multi-scenario risk assessment in China, 1985–2024 Y. Liu & H. Zeng https://doi.org/10.1016/j.eiar.2025.108248
- Spatiotemporal Analysis of Shoreline Dynamics Using Satellite Imagery and Geospatial Tools: a Case Study of the Coast of Sfax, Tunisia H. Sahnoun et al. https://doi.org/10.1007/s41748-025-00839-0
- Tidal Modulation of Waves over the Changjiang River Estuary: Long-Term Observations and Coupled Modeling Z. Zhang et al. https://doi.org/10.3390/jmse14070635
- Cordgrass invasion amplifies microplastic hazard through polymer-selective retention in coastal wetlands F. Su et al. https://doi.org/10.1016/j.watres.2026.125667
- Deep Learning-Based Automated Coastline Extraction From Satellite Imagery: A Sentinel-2 Benchmark Dataset Approach T. Hu et al. https://doi.org/10.1109/JSTARS.2026.3677791
Saved (final revised paper)
Latest update: 28 May 2026
Short summary
Continuous monitoring of shoreline dynamics is critical to understanding the drivers of shoreline change and evolution. This study uses long-term sequences of Landsat Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI) images to analyze the spatio-temporal evolution characteristics of the coastlines of Hainan, mainland China, Taiwan, and other countries from 1990 to 2019.
Continuous monitoring of shoreline dynamics is critical to understanding the drivers of...
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