View in EDS HTML Full Text PDF Full Text

An Integrated Deep Learning Approach to Estimate Canopy Height and Uncertainty by Combining Seasonal Optical, SAR and Limited GEDI LiDAR Data over Ontario's Managed Forests, Canada.

Saved in:
Bibliographic Details
Title: An Integrated Deep Learning Approach to Estimate Canopy Height and Uncertainty by Combining Seasonal Optical, SAR and Limited GEDI LiDAR Data over Ontario's Managed Forests, Canada.
Authors: Bermudez, Jose1 (AUTHOR) bermudej@mcmaster.ca, Rogers, Cheryl1,2 (AUTHOR), Sothe, Camile3 (AUTHOR), Cyr, Dominic4 (AUTHOR), Gonsamo, Alemu1 (AUTHOR)
Source: Remote Sensing. Aug2026, Vol. 18 Issue 15, p2477. 40p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 196272157
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An Integrated Deep Learning Approach to Estimate Canopy Height and Uncertainty by Combining Seasonal Optical, SAR and Limited GEDI LiDAR Data over Ontario's Managed Forests, Canada.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Bermudez%2C+Jose%22">Bermudez, Jose</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bermudej@mcmaster.ca</i><br /><searchLink fieldCode="AR" term="%22Rogers%2C+Cheryl%22">Rogers, Cheryl</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sothe%2C+Camile%22">Sothe, Camile</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cyr%2C+Dominic%22">Cyr, Dominic</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gonsamo%2C+Alemu%22">Gonsamo, Alemu</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Aug2026, Vol. 18 Issue 15, p2477. 40p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=196272157
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/rs18152477
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 40
        StartPage: 2477
    Titles:
      – TitleFull: An Integrated Deep Learning Approach to Estimate Canopy Height and Uncertainty by Combining Seasonal Optical, SAR and Limited GEDI LiDAR Data over Ontario's Managed Forests, Canada.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bermudez, Jose
      – PersonEntity:
          Name:
            NameFull: Rogers, Cheryl
      – PersonEntity:
          Name:
            NameFull: Sothe, Camile
      – PersonEntity:
          Name:
            NameFull: Cyr, Dominic
      – PersonEntity:
          Name:
            NameFull: Gonsamo, Alemu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20724292
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: Remote Sensing
              Type: main
ResultId 1