Estimating and mapping evapotranspiration in olive groves of semi-arid Tunisia using empirical formulas and satellite remote sensing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440858" target="_blank" >RIV/00216208:11320/21:10440858 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=BX9wOkJ0EO" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=BX9wOkJ0EO</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12517-021-08860-z" target="_blank" >10.1007/s12517-021-08860-z</a>

Result language

angličtina

Original language name

Estimating and mapping evapotranspiration in olive groves of semi-arid Tunisia using empirical formulas and satellite remote sensing

Original language description

Accurate estimation of evapotranspiration (ET) is needed to optimize irrigation in semi-arid environments. The present work aims to estimate evapotranspiration using empirical formulas and remote sensing in a commercial olive orchard near Menzel Mhiri in east central Tunisia. This study compares evapotranspiration with the Mapping Evapotranspiration at high Resolution with Internal Calibration (METRIC) model with estimates from five empirical equations (Penman-Monteith; Blaney-Criddle; Hargreaves temperature; Hargreaves radiation; and Priestley-Taylor). Reference evapotranspiration estimated using these five empirical equations was based on meteorological station measurements in olives at the pilot study site. Three years of ET estimates based on Landsat-8 satellite images and the METRIC method covering 2017, 2018, and 2019 were downloaded using Google EEFlux. The results obtained by remote sensing showed good ability to characterize seasonal variation in reference (ET0) and actual crop (ETc) evapotranspiration. Reference evapotranspiration values for olive trees estimated by the METRIC model during the three experimental years accurately represent those estimated with the Penman-Monteith formula. Also, there was very good agreement between results obtained with METRIC and those calculated using the Blaney-Criddle method. The monthly average of ET0 and ETc values determined during the three experimental years (2017, 2018, and 2019) showed that the METRIC model underestimates irrigation needs by about 15% compared to the Penman-Monteith (PM) approach.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Arabian Journal of Geosciences

ISSN

1866-7511

e-ISSN

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Volume of the periodical

14

Issue of the periodical within the volume

24

Country of publishing house

DE - GERMANY

Number of pages

9

Pages from-to

2717

UT code for WoS article

000725639100007

EID of the result in the Scopus database

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