Detection of macroalgae blooms by complex SAR imagery

doi:10.1016/marpolbul.2013.10.044

IOCAS-IR > 海洋环流与波动重点实验室

	Detection of macroalgae blooms by complex SAR imagery
	Shen, Hui 1,2,3; Perrie, William 2; Liu, Qingrong 4; He, Yijun 5; Perrie, W (reprint author), Fisheries & Oceans Canada, Bedford Inst Oceanog, 1 Challenger Dr, Dartmouth, NS B2Y 4A2, Canada.
	2014-01-15
发表期刊	MARINE POLLUTION BULLETIN
卷号	78 期号:1-2 页码:190-195
文章类型	Article
摘要	Increased frequency and enhanced damage to the marine environment and to human society caused by green macroalgae blooms demand improved high-resolution early detection methods. Conventional satellite remote sensing methods via spectra radiometers do not work in cloud-covered areas, and therefore cannot meet these demands for operational applications. We present a methodology for green macroalgae bloom detection based on RADARSAT-2 synthetic aperture radar (SAR) images. Green macroalgae patches exhibit different polarimetric characteristics compared to the open ocean surface, in both the amplitude and phase domains of SAR-measured complex radar backscatter returns. In this study, new index factors are defined which have opposite signs in green macroalgae-covered areas, compared to the open water surface. These index factors enable unsupervised detection from SAR images, providing a high-resolution new tool for detection of green macroalgae blooms, which can potentially contribute to a better understanding of the mechanisms related to outbreaks of green macroalgae blooms in coastal areas throughout the world ocean. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.
关键词	Green Macroalgae Blooms Synthetic Aperture Radar (Sar) High Resolution Early Detection Unsupervised Sar Index Factor
学科领域	Environmental Sciences & Ecology ; Marine & Freshwater Biology
DOI	10.1016/marpolbul.2013.10.044
收录类别	SCI
语种	英语
WOS记录号	WOS:000331423100036
引用统计	被引频次：35[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/23918
专题	海洋环流与波动重点实验室
通讯作者	Perrie, W (reprint author), Fisheries & Oceans Canada, Bedford Inst Oceanog, 1 Challenger Dr, Dartmouth, NS B2Y 4A2, Canada.
作者单位	1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 2.Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada 3.Chinese Acad Sci, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 4.State Ocean Adm, North China Sea Branch, Qingdao 266061, Peoples R China 5.Nanjing Univ Informat Sci & Technol, Nanjing 210044, Jiangsu, Peoples R China
第一作者单位	中国科学院海洋研究所; 海洋环流与波动重点实验室
推荐引用方式 GB/T 7714	Shen, Hui,Perrie, William,Liu, Qingrong,et al. Detection of macroalgae blooms by complex SAR imagery[J]. MARINE POLLUTION BULLETIN,2014,78(1-2):190-195.
APA	Shen, Hui,Perrie, William,Liu, Qingrong,He, Yijun,&Perrie, W .(2014).Detection of macroalgae blooms by complex SAR imagery.MARINE POLLUTION BULLETIN,78(1-2),190-195.
MLA	Shen, Hui,et al."Detection of macroalgae blooms by complex SAR imagery".MARINE POLLUTION BULLETIN 78.1-2(2014):190-195.

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