粤东柘林湾海水养殖类型遥感提取研究  

Remote Sensing Extraction of Mariculture in Zhelin Bay, East Guangdong

作　　者：刘志根 曾璇 廖佩琦 余思敏 余凌云[1] Liu Zhigen;Zeng Xuan;Liao Peiqi;Yu Simin;Yu Lingyun(Huaihua University,Huaihua,Hunan 418000,China)

机构地区：[1]怀化学院,湖南怀化418000

出　　处：《绿色科技》2022年第20期246-249,共4页Journal of Green Science and Technology

基　　金：湖南省哲学社会科学基金项目(编号:21YBQ085);怀化市科技创新指导性计划项目(编号:2021N3710);怀化学院科学研究项目(编号:HHUY2020-14)。

摘　　要：准确掌握海水养殖类型信息和空间分布特征,对监控近岸渔业的健康发展、促进沿海经济发展和渔业现代化管理具有重要意义。以高分二号卫星影像为数据源,运用面向对象遥感影像分析技术,实现了柘林湾海水养殖类型的遥感分类提取,提取结果精度为88.65%。进而得到了粤东柘林湾主要以池塘养殖和网箱养殖为主,其中池塘养殖主要分布在柘林湾北部的黄冈镇,网箱养殖呈条带状,主要分布在在汫洲镇三百门往东南方向到汛洲岛、西澳岛之间的海域上。此研究成果有助于及时掌握近岸养殖水体的空间分布及动态变化,可为粤东水产养殖规划与管理提供参考。The accurate grasp of the information of mariculture types and the spatial distribution characteristics of mariculture is of great significance to monitor the healthy development of coastal fishery as well as promote the coastal economic development and the modern management of fishery industry. With high score two satellite image as the data source, object-oriented remote sensing image analysis technology is used to realize the semi-automatic extraction of Zhelin mariculture type. The classification extraction result accuracy is 88.65%.The east of Zhelin Bay in the eastern Guangdong is mainly pond breeding and cage breeding. The cage breeding is in a strip-shaped, and it is mainly distributed in the three hundred gates of Jingzhou Town to the southeast to the waters between the Xunzhou island and Xi’ao island. Research results are conductive to grasping the spatial distribution and dynamic changes of the water body in the near-shore in a timely manner, which provides technical means for the planning and management of mariculture in coastal zones.

关 键 词：遥感影像 海水养殖 提取类型 柘林湾 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]