Open dataset · Habitat · Driver/Pressure

GCL_FCS30: a global coastline dataset with 30-m resolution and a fine classification system from 2010 to 2020

GCL_FCS30: a global coastline dataset with 30-m resolution and a fine classification system from 2010 to 2020 is an open dataset published by Zenodo, under CC BY 4.0. It describes coastal wetlands, land cover, mangrove forests and sandy, muddy, rocky, estuary coastalines. Coverage: global (incl. high latitudes), 2010, 2015, 2020.

CC BY 4.0Published 2024Free download

About this dataset

A Global CoastLine Dataset (GCL_FCS30) with a detailed classification system, including categories for (0) artificial, (1) biogenic, (2) sandy, (3) muddy, (4) rocky, and (5) estuary coastlines for 2010, 2015, and 2020. The coastline extraction employed a combined algorithm incorporating the Modified Normalized Difference Water Index (MNDWI), an adaptive threshold segmentation method based on the Maximum Between-Class Variance Method (OTSU), and the Canny edge detector. The coastline classification was performed using a hybrid transect classifier that integrates a random forest algorithm with globally stable training samples derived from multi-source geophysical data.

The authors' description, from the dataset's DataCite record (10.5281/zenodo.13943679, CC0).

What it describes

Habitat
Coastal wetlandsLand coverMangrove forestsSandy, muddy, rocky, estuary coastalines
Driver/Pressure
Climate change
Variables
Surface waterTemperatureDistribution, cover

Get the data

Download the shapefile components for 2010, 2015 and 2020 from the Zenodo record.

How to cite it

Zuo J. et al. (2025) GCL_FCS30: a global coastline dataset with 30-m resolution and a fine classification system from 2010 to 2020. Scientific Data 12. doi:10.1038/s41597-025-04430-0

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