大亚湾近岸浅海马尾藻遥感信息提取

doi:10.13474/j.cnki.11-2246.2024.0519

测绘通报 ›› 2024, Vol. 0 ›› Issue (5): 108-114.doi: 10.13474/j.cnki.11-2246.2024.0519

• 技术交流 • 上一篇

大亚湾近岸浅海马尾藻遥感信息提取

李俊^1,2, 何颖清^1,2, 邓孺孺³, 熊龙海^1,2, 张锐豪⁴

1. 水利部珠江河口治理与保护重点实验室, 广东广州 510611;
2. 珠江水利委员会珠江水利科学研究院, 广东广州 510611;
3. 中山大学地理科学与规划学院, 广东广州 510006;
4. 惠州学院地理与旅游学院, 广东惠州 516007

收稿日期:2023-10-13 发布日期:2024-06-12
通讯作者: 邓孺孺。E-mail:eesdrr@mail.sysu.edu.cn
作者简介:李俊(1996—),男,硕士,主要从事水环境遥感研究。E-mail:lijun8102@outlook.com
基金资助:
广东省水利科技创新项目(2023-01);水利部重大科技项目(SKR-2022005);广州市科技计划(2023A04J0942)

Remote sensing information extraction of sargassum from the in-shore shallow sea in Daya Bay

LI Jun^1,2, HE Yingqing^1,2, DENG Ruru³, XIONG Longhai^1,2, ZHANG Ruihao⁴

1. Key Laboratory of the Pearl River Estuary Regulation and Protection of Ministry of Water Resources, Guangzhou 510611, China;
2. Pearl River Hydraulic Research Institute, Pearl River Water Resource Commission, Guangzhou 510611, China;
3. The School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China;
4. The School of Geography and Tourism, Huizhou University, Huizhou 516007, China

Received:2023-10-13 Published:2024-06-12

摘要/Abstract

摘要： 马尾藻对健康的沿海生态系统具有重要作用。遥感监测多针对开阔海域的漂浮马尾藻,对浅海底栖型马尾藻研究较少;技术方法大多基于经验模型,依赖大量实测数据。本文基于水体辐射传输过程,建立马尾藻遥感信息提取模型。大亚湾3个试验结果表明:①马尾藻丰度分布情况与野外调查数据基本吻合;②大亚湾的马尾藻在水域开阔程度高、水体交换条件良好、受一定风浪影响、水深小于1.6m的环境条件下,长势更好,丰度更高;③水深、海浪作用是影响马尾藻生长分布的重要环境因子。本文方法对马尾藻资源的保护和海岸带生物多样性建设具有积极意义。

关键词: 马尾藻, 海洋底栖生境, 丰度, 近岸浅海, 混合像元分解

Abstract: Sargassum plays an important role in healthy coastal ecosystems. Remote sensing monitoring mostly studies of floating sargassum in the open sea, and less research on shallow seabed sargassum; technical methods are mostly based on empirical models and rely on a large amount of measured data. This paper establishes a sargassum remote sensing information extraction model based on the radiation transfer process of water bodies. The results of three experimental areas in Daya Bay show that:①The sargassum abundance distribution is essentially consistent with the field survey data. ②Sargassum in Daya Bay grows better and has a higher abundance when the water is highly open, the water exchange conditions are good, the water is affected by wind and waves, the bottom is sand-covered rocks or reefs, and the water depth is less than 1.6m.③Water depth and waves are important environmental factors that affect the growth and distribution of sargassum. The method in this paper has positive significance for the protection of sargassum resources and the construction of coastal biodiversity.

Key words: sargassum, marine benthic habitat, abundance information, in-shore waters, mixed pixel unmixing

中图分类号:

P237

李俊, 何颖清, 邓孺孺, 熊龙海, 张锐豪. 大亚湾近岸浅海马尾藻遥感信息提取[J]. 测绘通报, 2024, 0(5): 108-114.

LI Jun, HE Yingqing, DENG Ruru, XIONG Longhai, ZHANG Ruihao. Remote sensing information extraction of sargassum from the in-shore shallow sea in Daya Bay[J]. Bulletin of Surveying and Mapping, 2024, 0(5): 108-114.

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大亚湾近岸浅海马尾藻遥感信息提取

Remote sensing information extraction of sargassum from the in-shore shallow sea in Daya Bay

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