Evapotranspiration estimation using Landsat-8 data with a two-layer framework

Jian Yin (Corresponding Author), Hailong Wang, Chesheng Zhan, Yang Lu

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Abstract

Evapotranspiration (ET) plays an important role in hydrological cycle by linking land surface and atmosphere through water and energy transfers. Based on the data from the Landsat-8 satellite for typical days with clear sky condition from 2013 to 2016, a two-layer daily ET remote sensing framework was built, which includes four compartments: surface feature parameter estimation, evaporative fraction estimation, daily net radiation estimation, and daily ET extension. Based on the model, evaporation, transpiration, and daily ET in Shahe River Basin were estimated. The estimated daily ET showed a mean absolute percentage error of 8.7% in the plain areas, and 12.1% in the mountainous areas, compared to observations using large aperture scintillometer and eddy covariance system. The method gave higher accuracy than other remote sensing models applied in the same area previously, including the surface energy balance system and the ETWatch. By analyzing the relationship between land use types and surface water/heat fluxes, it was found that the surface energy balance components in the basin have prominent spatial-temporal features, and the soil component’s features are more obvious. It indicated that the proposed two-layer approach is superior to others in terms of simulation accuracy, and applicable to daily scale ET estimations on complex terrains.
Original languageEnglish
Article number016034
JournalJournal of Applied Remote Sensing
Volume11
Issue number1
DOIs
Publication statusPublished - Mar 2017

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Landsat
evapotranspiration
surface energy
energy balance
remote sensing
complex terrain
net radiation
hydrological cycle
eddy covariance
clear sky
transpiration
heat flux
land surface
evaporation
river basin
surface water
land use
atmosphere
basin
simulation

Keywords

  • evapotranspiration
  • remote sensing
  • river basin
  • two-layer model
  • Landsat-8

Cite this

Evapotranspiration estimation using Landsat-8 data with a two-layer framework. / Yin, Jian (Corresponding Author); Wang, Hailong; Zhan, Chesheng; Lu, Yang.

In: Journal of Applied Remote Sensing, Vol. 11, No. 1, 016034, 03.2017.

Research output: Contribution to journalArticle

Yin, Jian ; Wang, Hailong ; Zhan, Chesheng ; Lu, Yang. / Evapotranspiration estimation using Landsat-8 data with a two-layer framework. In: Journal of Applied Remote Sensing. 2017 ; Vol. 11, No. 1.
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