Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Evapotranspiration mapping without thermal band using Random Forest
Year:2015
Research Areas
  • Agriculture,
  • Information technology and adata processing,
  • Remote sensing,
  • Processing and signal analysis
Information
Abstract
In this work, the generation of Random Forest Regression models that allow the estimation of daily ET values using medium spatial resolution images without thermal band has been investigated. The models have been trained and tested with the spectral information obtained from the satellites images and the corresponding values of ET obtained by the METRIC model. The obtained results shown that the test and validation error of the models increase a magnitude order when the thermal information is not used; however, considering the agricultural application, this error is tolerable. As far as our knowledge, there are not similar studies to the presented here.
International
Si
Book Edition
1
Book Publishing
ISBN
978-0-415-47805-2
Series
European Association of Remote Sensing Laboratories Proceedings
Book title
European Remote Sensing: Progress, Challenges and Opportunities
From page
62
To page
67
Participants
  • Autor: Consuelo Gonzalo Martin (UPM)
  • Autor: Mario Fernando Lillo Saavedra (UPM)
  • Autor: Angel Mario García Pedrero (UPM)
  • Autor: David Fonseca Luengo (Universidad de Concepción)
  • Autor: Octavio Lagos (Universidad de Concepción)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)