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Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas

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Standard

Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas. / de Tomás, Alberto; Nieto Solana, Hector; Guzinski, Radoslaw; Salas, Javier; Sandholt, Inge; Berliner, Pedro.

I: Remote Sensing of Environment, Bind 152, 05.08.2014, s. 493-511.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

de Tomás, A, Nieto Solana, H, Guzinski, R, Salas, J, Sandholt, I & Berliner, P 2014, 'Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas', Remote Sensing of Environment, bind 152, s. 493-511. https://doi.org/10.1016/j.rse.2014.06.028

APA

de Tomás, A., Nieto Solana, H., Guzinski, R., Salas, J., Sandholt, I., & Berliner, P. (2014). Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas. Remote Sensing of Environment, 152, 493-511. https://doi.org/10.1016/j.rse.2014.06.028

Vancouver

de Tomás A, Nieto Solana H, Guzinski R, Salas J, Sandholt I, Berliner P. Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas. Remote Sensing of Environment. 2014 aug 5;152:493-511. https://doi.org/10.1016/j.rse.2014.06.028

Author

de Tomás, Alberto ; Nieto Solana, Hector ; Guzinski, Radoslaw ; Salas, Javier ; Sandholt, Inge ; Berliner, Pedro. / Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas. I: Remote Sensing of Environment. 2014 ; Bind 152. s. 493-511.

Bibtex

@article{884038e4fe614aa3867d638636142a70,
title = "Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas",
abstract = "Remote sensing has proved to be a consistent tool for monitoring water fluxes at regional scales. The triangle method, in particular, estimates the evaporative fraction (EF), defined as the ratio of latent heat flux (LE) to available energy, based on the relationship between satellite observations of land surface temperature and a vegetation index. Among other methodologies, this approach has been commonly used as an approximation to estimate LE, mainly over large semi-arid areas with uniform landscape features. In this study, an interpretation of the triangular space has been applied over a heterogeneous area in central Spain, using Landsat5-TM, Envisat-AATSR/MERIS and MSG-SEVIRI images. Some aspects affecting the model performance such as spatial resolution, terrain conditions, vegetation index applied and method for deriving the triangle edges have been assessed. The derived EF estimations have been validated against ground measurements obtained with scintillometer on a winter crop field during 2010–2011. When working with large spatial windows, removing areas with different topographic characteristics (altitude and slope) improved the performance of the methods. In addition, replacing the typically used NDVI with Leaf Area Index enhances the performance of the triangle method allowing a better characterization of the wet edge. Finally, results showed a relatively good performance for the EF estimates, with an RMSE of 0.11, 0.15 and 0.23 and R2 of 0.77, 0.41, and 0.24 for Landsat, Envisat and MSG satellites respectively, showing a scale dependency on the accuracy.",
author = "{de Tom{\'a}s}, Alberto and {Nieto Solana}, Hector and Radoslaw Guzinski and Javier Salas and Inge Sandholt and Pedro Berliner",
year = "2014",
month = "8",
day = "5",
doi = "10.1016/j.rse.2014.06.028",
language = "English",
volume = "152",
pages = "493--511",
journal = "Remote Sensing of Environment",
issn = "0034-4257",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas

AU - de Tomás, Alberto

AU - Nieto Solana, Hector

AU - Guzinski, Radoslaw

AU - Salas, Javier

AU - Sandholt, Inge

AU - Berliner, Pedro

PY - 2014/8/5

Y1 - 2014/8/5

N2 - Remote sensing has proved to be a consistent tool for monitoring water fluxes at regional scales. The triangle method, in particular, estimates the evaporative fraction (EF), defined as the ratio of latent heat flux (LE) to available energy, based on the relationship between satellite observations of land surface temperature and a vegetation index. Among other methodologies, this approach has been commonly used as an approximation to estimate LE, mainly over large semi-arid areas with uniform landscape features. In this study, an interpretation of the triangular space has been applied over a heterogeneous area in central Spain, using Landsat5-TM, Envisat-AATSR/MERIS and MSG-SEVIRI images. Some aspects affecting the model performance such as spatial resolution, terrain conditions, vegetation index applied and method for deriving the triangle edges have been assessed. The derived EF estimations have been validated against ground measurements obtained with scintillometer on a winter crop field during 2010–2011. When working with large spatial windows, removing areas with different topographic characteristics (altitude and slope) improved the performance of the methods. In addition, replacing the typically used NDVI with Leaf Area Index enhances the performance of the triangle method allowing a better characterization of the wet edge. Finally, results showed a relatively good performance for the EF estimates, with an RMSE of 0.11, 0.15 and 0.23 and R2 of 0.77, 0.41, and 0.24 for Landsat, Envisat and MSG satellites respectively, showing a scale dependency on the accuracy.

AB - Remote sensing has proved to be a consistent tool for monitoring water fluxes at regional scales. The triangle method, in particular, estimates the evaporative fraction (EF), defined as the ratio of latent heat flux (LE) to available energy, based on the relationship between satellite observations of land surface temperature and a vegetation index. Among other methodologies, this approach has been commonly used as an approximation to estimate LE, mainly over large semi-arid areas with uniform landscape features. In this study, an interpretation of the triangular space has been applied over a heterogeneous area in central Spain, using Landsat5-TM, Envisat-AATSR/MERIS and MSG-SEVIRI images. Some aspects affecting the model performance such as spatial resolution, terrain conditions, vegetation index applied and method for deriving the triangle edges have been assessed. The derived EF estimations have been validated against ground measurements obtained with scintillometer on a winter crop field during 2010–2011. When working with large spatial windows, removing areas with different topographic characteristics (altitude and slope) improved the performance of the methods. In addition, replacing the typically used NDVI with Leaf Area Index enhances the performance of the triangle method allowing a better characterization of the wet edge. Finally, results showed a relatively good performance for the EF estimates, with an RMSE of 0.11, 0.15 and 0.23 and R2 of 0.77, 0.41, and 0.24 for Landsat, Envisat and MSG satellites respectively, showing a scale dependency on the accuracy.

U2 - 10.1016/j.rse.2014.06.028

DO - 10.1016/j.rse.2014.06.028

M3 - Journal article

VL - 152

SP - 493

EP - 511

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

ER -

ID: 120076648