A dataset of mangrove forests distribution in the Leizhou Peninsula (2019–2023)

<p indent="0mm">In this study, to address the lack of publicly available data on mangrove forests distribution in the Leizhou Peninsula, Sentinel-2 satellite cloud-free images acquired in 2019, 2021 and 2023 were used as the data source, through the super-resolution reconstruction, coastal buffer zone extraction, object-based classification using a random forest algorithm, and optimization of classification results, a dataset of mangrove forests distribution in the Leizhou Peninsula from 2019 to 2023 was successfully constructed. The average overall accuracy of this dataset reached 95.3%. The high-accuracyt mangrove forests distribution dataset constructed in this study is expected to provide strong data support for the follow-up mangrove resource monitoring, wetland ecological environmental protection, and coastal territorial spatial planning, as well as other related application in the Leizhou Peninsula.

Authors

Publication Details

Journal
China Scientific Data
Published
2025-12-01
DOI
https://doi.org/10.11922/11-6035.csd.2024.0194.zh
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

A dataset of mangrove forests distribution in the Leizhou Peninsula (2019–2023)

He Xiao, Dazhao Liu, Siyu Liu, Jinliang YE et al.
China Scientific Data
Coastal wetland ecosystem dynamics
article

A dataset of mangrove forests distribution in the Leizhou Peninsula (2019–2023)

He Xiao, Dazhao Liu, Siyu Liu, Jinliang YE, Yan ZHU, Jin MA
article en

Abstract

<p indent="0mm">In this study, to address the lack of publicly available data on mangrove forests distribution in the Leizhou Peninsula, Sentinel-2 satellite cloud-free images acquired in 2019, 2021 and 2023 were used as the data source, through the super-resolution reconstruction, coastal buffer zone extraction, object-based classification using a random forest algorithm, and optimization of classification results, a dataset of mangrove forests distribution in the Leizhou Peninsula from 2019 to 2023 was successfully constructed. The average overall accuracy of this dataset reached 95.3%. The high-accuracyt mangrove forests distribution dataset constructed in this study is expected to provide strong data support for the follow-up mangrove resource monitoring, wetland ecological environmental protection, and coastal territorial spatial planning, as well as other related application in the Leizhou Peninsula.

China Scientific DataVol. 10(4)
National Natural Science Foundation of China, National Key Research and Development Program of China
Life below water
Openalex Percentile: Top 30%
Coastal wetland ecosystem dynamics
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A dataset of mangrove forests distribution in the Leizhou Peninsula (2019–2023) — He Xiao, Dazhao Liu, et al. · China Scientific Data (2025) | TGRS Research Map | TGRS