农业大数据学报 ›› 2023, Vol. 5 ›› Issue (2): 9-15.doi: 10.19788/j.issn.2096-6369.230203

• “共享杯”农业科学专业赛优秀作品 • 上一篇    下一篇

2000-2020年广东省珠海淇澳岛红树林空间分布数据集

蔡惠娜(), 王瑞源*()   

  1. 广东石油化工学院理学院,广东 茂名 525000
  • 收稿日期:2023-05-10 出版日期:2023-06-26 发布日期:2023-08-15
  • 通讯作者: 王瑞源
  • 作者简介:蔡惠娜,本科,研究方向:RS,GIS,环境生态;E-mail:caihuina718@foxmail.com
  • 基金资助:
    广东石油化工学院人才引进项目(2019rc098);广东石油化工学院目标问题导向教学创新与实践项目(701-234660)

A Dataset on Spatial Distribution of Mangroves in Qi'ao Island, Zhuhai, Guangdong Province from 2000 to 2020

CAI HuiNa(), WANG Ruei-Yuan*()   

  1. College of Science, Guangdong University of Petrochemical Technology (GDUPT), Maoming 525000, Guangdong, China
  • Received:2023-05-10 Online:2023-06-26 Published:2023-08-15
  • Contact: WANG Ruei-Yuan

摘要:

红树林分布于热带和亚热带海岸潮间带,对全球碳循环具有重要指标作用,为生态和生态经济发展提供服务价值。但随着人类活动的发展和自然环境的恶化,红树林资源出现急剧减少。文章采用2000年、2005年、2010年Landsat和2015年、2020年Sentinel-2影像,通过决策树分类与面向对象的分类方法,并结合实地踏勘调查,提取各年份红树林空间分布及面积,产出2000—2020年淇澳岛红树林空间分布数据集。文章数据集可解析红树林的空间动态演变,可为淇澳岛红树林动态变化规律、生态环境质量评价等科学研究提供重要参考;为红树林湿地的保护、恢复和管理提供决策支持;以及为珠海市和广东省环境监测提供基础数据支持。

关键词: 红树林, 遥感数据, 空间分布, 淇澳岛

Abstract:

Mangroves are distributed in the tropical and subtropical coastal intertidal zones, playing a critical role in the global carbon cycle and providing service value for ecological and ecological economic development. But with the development of human activities and the deterioration of the natural environment, mangrove resources have sharply decreased. Using Landsat images of 2000, 2005, and 2010, and Sentinel-2 images of 2015 and 2020, through decision tree classification and object-oriented classification methods, combined with field surveys, the study extracts the spatial distribution and area of mangroves each year, and produces the spatial distribution dataset of mangroves in Qi'ao Island from 2000 to 2020. The article dataset can analyze the spatial dynamic evolution of mangroves, providing important references for scientific research such as the dynamic changes of mangroves on Qi'ao Island and the evaluation of ecological environment quality; providing decision-making support for the protection, restoration, and management of mangrove wetlands; and providing basic data support for environmental monitoring in Zhuhai and Guangdong Province.

Key words: mangrove, remote sensing data, spatial distribution, Qi'ao Island