DOI: 10.1016/j.marpolbul.2013.10.044
Scopus记录号: 2-s2.0-84892438381
论文题名: Detection of macroalgae blooms by complex SAR imagery
作者: Shen H. ; Perrie W. ; Liu Q. ; He Y.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2014
卷: 78, 期: 2018-01-02 起始页码: 190
结束页码: 195
语种: 英语
英文关键词: Green macroalgae blooms
; High resolution early detection
; Synthetic aperture radar (SAR)
; Unsupervised SAR index factor
Scopus关键词: High resolution
; Macro-algae
; Open water surface
; Operational applications
; Satellite remote sensing
; Synthetic aperture radar (SAR) images
; Unsupervised detection
; Unsupervised SAR index factor
; Blooms (metal)
; Synthetic aperture radar
; algal bloom
; coastal zone
; detection method
; macroalga
; marine pollution
; pollution monitoring
; RADARSAT
; remote sensing
; satellite imagery
; synthetic aperture radar
; algal bloom
; article
; calibration
; green alga
; image analysis
; image processing
; intermethod comparison
; macroalga
; nonhuman
; phase transition
; polarimetry
; radiometry
; satellite imagery
; signal noise ratio
; surface property
; synthetic aperture radar
; water structure
; Green macroalgae blooms
; High resolution early detection
; Synthetic aperture radar (SAR)
; Unsupervised SAR index factor
; Environmental Monitoring
; Eutrophication
; Radar
; Remote Sensing Technology
; Satellite Imagery
; Seaweed
; Spacecraft
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: 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. © 2013. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/85679
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: Institute of Oceanology, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China; Fisheries and Oceans Canada, Bedford Institute of Oceanography, 1 Challenger Drive, Dartmouth B2Y 4A2, Canada; Key Laboratory of Ocean Circulation and Waves, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China; North China Sea Branch of the State Oceanic Administration, 27 Yuanling Road, Qingdao 266061, China; Nanjing University of Information Science and Technology, 4 Longshanbei Road, Nanjing 210044, China
Recommended Citation:
Shen H.,Perrie W.,Liu Q.,et al. Detection of macroalgae blooms by complex SAR imagery[J]. Marine Pollution Bulletin,2014-01-01,78(2018-01-02)