Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Evapotranspiration mapping without thermal band using Random Forest
Research Areas
  • Agriculture,
  • Remote sensing,
  • Processing and signal analysis
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.
Book Edition
Book Publishing
Yifang Ban KTH Geoinformatics
European Association of Remote Sensing Laboratories Proceedings
Book title
European Remote Sensing: Progress, Challenges and Opportunities
From page
To page
  • 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: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
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)