Extraction of 10 m Resolution Global Mangrove in 2022

Author:

Liu Xiangyu12345,Liao Jingjuan134ORCID,Shen Guozhuang1234,Zhang Li134ORCID,Chen Bowei134ORCID

Affiliation:

1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

2. Hainan Aerospace Technology Innovation Center, Wenchang 571339, China

3. Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Sanya 572029, China

4. International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

5. University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

With the intensification of global climate change, there is an increasing emphasis on protecting natural resources. Mangrove forests, critical to tropical and subtropical intertidal ecosystems, have garnered considerable attention in recent years for their strong carbon sink capacity, rich species diversity, and abundant natural resources. This study utilizes the 2020 global mangrove vector data as a baseline to construct a reasonable buffer zone by calculating the increase in mangrove crown width. The Google Earth Engine (GEE) platform and its Sentinel-2 data from 2022 are employed to acquire synthetic images across all regions using the mosaic algorithm. Then, mangrove forests are extracted using the Otsu algorithm, and a map depicting the global spatial distribution of mangrove forests in 2022 is obtained. The average overall accuracy of the extracted mangrove forests in this study reaches 92.4%, and it is determined that the global mangrove forest area expanded by 4920.6 km2 between 2020 and 2022, This study provides crucial data support for the global monitoring of mangrove changes and holds significant importance for protecting and restoring mangrove ecosystems.

Funder

Hainan Province Science and Technology Special Fund

Hainan Provincial Natural Science Foundation of China

Publisher

MDPI AG

Reference27 articles.

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