GNSS-R-Based wildfire detection: a novel and accurate method.

Saved in:
Bibliographic Details
Title: GNSS-R-Based wildfire detection: a novel and accurate method.
Authors: Wang, Xuke1,2,3, wxkgeo@lzre.edu.cn, Yao, Wei4
Source: European Journal of Remote Sensing; Dec2024, Vol. 57 Issue 1, p1-12, 12p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181567727
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: GNSS-R-Based wildfire detection: a novel and accurate method.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Wang%2C+Xuke%22">Wang, Xuke</searchLink><relatesTo>1,2,3</relatesTo>, <i>wxkgeo@lzre.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Yao%2C+Wei%22">Yao, Wei</searchLink><relatesTo>4</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Remote+Sensing%22">European Journal of Remote Sensing</searchLink>; Dec2024, Vol. 57 Issue 1, p1-12, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181567727
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/22797254.2024.2413993
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1
    Titles:
      – TitleFull: GNSS-R-Based wildfire detection: a novel and accurate method.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wang, Xuke
      – PersonEntity:
          Name:
            NameFull: Yao, Wei
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 22797254
          Numbering:
            – Type: volume
              Value: 57
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: European Journal of Remote Sensing
              Type: main
ResultId 1