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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Arabian Journal of Geosciences

ISSN

1866-7511

e-ISSN

—

Svazek periodika

14

Číslo periodika v rámci svazku

24

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

9

Strana od-do

2717

Kód UT WoS článku

000725639100007

EID výsledku v databázi Scopus

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