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Determining maximum entropy in 3D remote sensing height distributions and using it to improve aboveground biomass modelling via stratification

  • Syed Adnan
  • , Matti Maltamo
  • , Lauri Mehtätalo
  • , Rhei N.L. Ammaturo
  • , Petteri Packalen
  • , Rubén Valbuena
  • University of Eastern Finland
  • University of Cambridge

Research output: Contribution to journalArticlepeer-review

122 Downloads (Pure)
Original languageEnglish
Pages (from-to)112464
Number of pages1
JournalRemote Sensing of Environment
Volume260
Early online date23 Apr 2021
DOIs
Publication statusPublished - Jul 2021

Keywords

  • Forest structure
  • Forest aboveground biomass
  • Gini coefficient
  • L-moments
  • Airborne laser scanning

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