S2Coast-2023: The First Global 10-Meter Resolution Coastline Dataset Derived from Enhanced Sentinel-2 Composite Imagery Using Google Earth Engine
Authors/Creators
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1.
East China Normal University
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2.
University of Alberta
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3.
Hong Kong Polytechnic University
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4.
Jiangsu Normal University
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5.
Plymouth Marine Laboratory
Description
This repository consists of Seven parts:
SupportVectorFiles.zip: Contains vector shapefiles, including subprocess blocks, uploaded to the Google Earth Engine platform.
GEE_based_Land_Water_Classification.zip: Includes Python-based Land/Water classification procedures that rely on the Google Earth Engine platform.
S2Coast_Raster2Vector.zip: Contains local computer processing scripts used to convert binarized imagery into Polygon shapefiles.
S2Coast-2023-ESRI_Shapefiles.zip: The global coastline dataset, which includes Polygon and Polyline ESRI shapefiles.
ValidationMeterials.zip: The mdb file contain sampled S2Coast-2023 and corresponded OSM coastline used for validatation.
S2Coast2023(OSM_portion).zip: The OSM portion in S2Coast2023(N/A regions)
SimulatedTideData_TMD.zip: The tide height data for sampled coasts using Tide Model Driver
Files
GEE_based_Land_Water_Classification.zip
Files
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Additional details
Funding
- Ministry of Science and Technology of the People's Republic of China
- Coping with Deltas in Transition 2016YFE0133700
- National Natural Science Foundation of China
- 基于过程-格局耦合体系的区域滩涂演变机制研究—以长江口为例 42271465
References
- Yuanqiang Duan, Arturo Sanchez-Azofeifa, Chunpeng Chen, Bo Tian, Xing Li, Dhritiraj Sengupta, Yunxuan Zhou. S2Coast-2023: The first global 10-meter resolution coastline dataset derived from enhanced Sentinel-2 composite imagery using Google Earth Engine. Remote Sensing of Environment. 334. 2026. 115186. ISSN 0034-4257. https://doi.org/10.1016/j.rse.2025.115186.