Leveraging Google Earth Engine and Machine Learning to Estimate Evapotranspiration in a Commercial Forest Plantation.

Saved in:
Bibliographic Details
Title: Leveraging Google Earth Engine and Machine Learning to Estimate Evapotranspiration in a Commercial Forest Plantation.
Authors: Gokool, Shaeden1 (AUTHOR) gokools@ukzn.ac.za, Kunz, Richard1 (AUTHOR) clulowa@ukzn.ac.za, Clulow, Alistair1,2 (AUTHOR) ml.toucher@saeon.nrf.ac.za, Toucher, Michele1,3 (AUTHOR)
Source: Remote Sensing. Aug2024, Vol. 16 Issue 15, p2726. 13p.
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: 178951885
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Leveraging Google Earth Engine and Machine Learning to Estimate Evapotranspiration in a Commercial Forest Plantation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gokool%2C+Shaeden%22">Gokool, Shaeden</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gokools@ukzn.ac.za</i><br /><searchLink fieldCode="AR" term="%22Kunz%2C+Richard%22">Kunz, Richard</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> clulowa@ukzn.ac.za</i><br /><searchLink fieldCode="AR" term="%22Clulow%2C+Alistair%22">Clulow, Alistair</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ml.toucher@saeon.nrf.ac.za</i><br /><searchLink fieldCode="AR" term="%22Toucher%2C+Michele%22">Toucher, Michele</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Aug2024, Vol. 16 Issue 15, p2726. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=178951885
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/rs16152726
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 2726
    Titles:
      – TitleFull: Leveraging Google Earth Engine and Machine Learning to Estimate Evapotranspiration in a Commercial Forest Plantation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gokool, Shaeden
      – PersonEntity:
          Name:
            NameFull: Kunz, Richard
      – PersonEntity:
          Name:
            NameFull: Clulow, Alistair
      – PersonEntity:
          Name:
            NameFull: Toucher, Michele
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 20724292
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: Remote Sensing
              Type: main
ResultId 1