Validation of the global evapotranspiration algorithm (MOD16) in two contrasting tropical land cover types

Anderson L. Ruhoff, Walter Collischonn, Adriano R. Paz, Humberto R. Rocha, Luiz E.O.C. Aragao, Yadvinder Malhi, Qiaozhen Mu, Steve W. Running

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


This article presents results from NASA's EOS MOD 16 Project, which aims to estimate global evapotranspiration (ET) using remote sensing and meteorological data. Our specific objective in this study was to evaluate the accuracy of the newly improved MOD 16 algorithm at the Rio Grande basin, southern Brazil, using (i) ET observations at two eddy covariance (EC) flux tower sites in different land covers (savanna and sugar cane plantations) and (ii) ET estimations from hydrologicai model during 2001. Our results show that MOD 16 8 d average, monthly ET and annual ET values are consistent with observations of the two EC sites and the hydrologicai model. The RMSE and bias analyses indicate that the model overestimates ET values for savannas and underestimates these values for the sugar cane and the whole basin average. Estimates are very consistent in the dry season, while the larger prediction errors occur in the wet season.

Original languageEnglish
Title of host publicationRemote Sensing and Hydrology
Number of pages4
StatePublished - 2012
EventRemote Sensing and Hydrology Symposium - Jackson Hole, WY, United States
Duration: Sep 27 2010Sep 30 2010

Publication series

NameIAHS-AISH Publication
ISSN (Print)0144-7815


ConferenceRemote Sensing and Hydrology Symposium
Country/TerritoryUnited States
CityJackson Hole, WY


  • Eddy covariance
  • Evapotranspiration
  • Hydrologicai model
  • LBA
  • MGB
  • MOD 16
  • Remote sensing


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