View in EDS

Multi-scale drift characteristics of Ulva prolifera in the Yellow Sea derived from deep learning-based MODIS and Sentinel-1 observations.

Saved in:
Bibliographic Details
Title: Multi-scale drift characteristics of Ulva prolifera in the Yellow Sea derived from deep learning-based MODIS and Sentinel-1 observations.
Authors: Geng X; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Key Laboratory of Marine Ecological Monitoring and Restoration Technology, Ministry of Natural Resources, Shanghai, 200062, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China., Li H; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China. Electronic address: lihuiru@hebtu.edu.cn., Fan R; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China., Zhao Y; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China., Guo E; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China., Qi R; Natural Resources Services Centre of Liaoning Province-BasicSurveying and Mapping Institute of Liaoning Province, Jinzhou, 121000, China.
Source: Marine pollution bulletin [Mar Pollut Bull] 2026 Jul; Vol. 228, pp. 119516. Date of Electronic Publication: 2026 Mar 18.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 0260231 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3363 (Electronic) Linking ISSN: 0025326X NLM ISO Abbreviation: Mar Pollut Bull Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41855964
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Multi-scale drift characteristics of Ulva prolifera in the Yellow Sea derived from deep learning-based MODIS and Sentinel-1 observations.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Geng+X%22">Geng X</searchLink>; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Key Laboratory of Marine Ecological Monitoring and Restoration Technology, Ministry of Natural Resources, Shanghai, 200062, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China.<br /><searchLink fieldCode="AU" term="%22Li+H%22">Li H</searchLink>; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China. Electronic address: lihuiru@hebtu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Fan+R%22">Fan R</searchLink>; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China.<br /><searchLink fieldCode="AU" term="%22Zhao+Y%22">Zhao Y</searchLink>; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China.<br /><searchLink fieldCode="AU" term="%22Guo+E%22">Guo E</searchLink>; School of Geographical Sciences, Hebei Normal University, Shijiazhuang, 050024, China; Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change, Hebei Normal University, Shijiazhuang, 050024, China.<br /><searchLink fieldCode="AU" term="%22Qi+R%22">Qi R</searchLink>; Natural Resources Services Centre of Liaoning Province-BasicSurveying and Mapping Institute of Liaoning Province, Jinzhou, 121000, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220260231%22">Marine pollution bulletin</searchLink> [Mar Pollut Bull] 2026 Jul; Vol. 228, pp. 119516. <i>Date of Electronic Publication: </i>2026 Mar 18.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0260231 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-3363 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220025326X%22">0025326X </searchLink><i>NLM ISO Abbreviation: </i>Mar Pollut Bull <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41855964
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.marpolbul.2026.119516
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 119516
    Titles:
      – TitleFull: Multi-scale drift characteristics of Ulva prolifera in the Yellow Sea derived from deep learning-based MODIS and Sentinel-1 observations.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Geng X
      – PersonEntity:
          Name:
            NameFull: Li H
      – PersonEntity:
          Name:
            NameFull: Fan R
      – PersonEntity:
          Name:
            NameFull: Zhao Y
      – PersonEntity:
          Name:
            NameFull: Guo E
      – PersonEntity:
          Name:
            NameFull: Qi R
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: 2026 Jul
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1879-3363
          Numbering:
            – Type: volume
              Value: 228
          Titles:
            – TitleFull: Marine pollution bulletin
              Type: main
ResultId 1