Year: 2025
Type: article
Abstract: 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.
Source: China Scientific Data
Authors: Jinliang YE, Yan ZHU, He XIAO, Jin MA, Siyu LIU, Dazhao LIU
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: diamond
Awards: G2812412076, G4495428504
OpenAlex ID: W7117303320