AUC GEOGRAPHICA
AUC GEOGRAPHICA

AUC Geographica (Acta Universitatis Carolinae Geographica) is a scholarly academic journal continuously published since 1966 that publishes research in the broadly defined field of geography: physical geography, geo-ecology, regional, social, political and economic geography, regional development, cartography, geoinformatics, demography and geo-demography.

AUC Geographica also publishes articles that contribute to advances in geographic theory and methodology and address the questions of regional, socio-economic and population policy-making in Czechia.

Periodical twice yearly.
Release dates: June 30, December 31

All articles are licenced under Creative Commons Attribution 4.0 International licence (CC BY 4.0), have DOI and are indexed in CrossRef database.

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The journal has been covered in the SCOPUS database since 1975 – today
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The journal has been indexed by the Polish Ministry of Science and Higher Education (MSHE) on the list of scientific journals recommended for authors to publish their articles. ICI World of Journals; Acta Universitatis Carolinae, Geographica.

Scopus Journal Metric

SJR (SCImago Journal Rank) (2020): 0.193
SNIP (Source Normalized Impact per Paper) (2020): 0.842
CiteScore (2020): 1.00

The journal is archived in Portico.

AUC GEOGRAPHICA, Vol 55 No 2 (2020), 165–182

A comparison of actual evapotranspiration estimates based on Remote Sensing approaches with a classical climate data driven method

Soghra Tofigh, Dariush Rahimi, Reza Zakerinejad

DOI: https://doi.org/10.14712/23361980.2020.12
announced: 18. 09. 2020

abstract

The knowledge of actual evapotranspiration at farm level is a prerequisite for irrigation planning, farm management, to increase production and reduce water consumption. To accomplish this, comprehensive and accurate assessment methods should be applied. In order to evaluate accurately evapotranspiration processes we compared lysimeter evapotranspiration data with MODIS (Aqua and Terra satellites) and LANDSAT (SEBAL algorithm) satellite images as well as with the FAO Penman-Montith method. The findings indicate the low error rate, high correlation (1) and appropriateness of SEBAL in estimating actual evapotranspiration. The error values MAD, MSE and RMSE between lysimeter and the SEBAL algorithm were 0.59, 0.36 and 0.60 respectively. The second best performance was established for the FAO Penman-Montith method. The obtained error values MAD, MSE and RMSE between the lysimeter and FAO-Penman-Montith method are 0.91, 1.29 and 1.13, respectively.

keywords: actual evapotranspiration; SEBAL algorithm; Landsat; MODIS; Penman-Montith; Wheat; lysimete

Creative Commons License
A comparison of actual evapotranspiration estimates based on Remote Sensing approaches with a classical climate data driven method is licensed under a Creative Commons Attribution 4.0 International License.

210 x 297 mm
published: 2 x per year
print price: 200 czk
ISSN: 0300-5402
E-ISSN: 2336-1980

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