Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation
Estimating crop evapotranspiration (ET<sub>a</sub>) is an important requirement for a rational assessment and management of water resources. The various remote sensing products allow the determination of crops’ biophysical variables integrated in the evaluation of ET<sub>a</sub&...
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MDPI AG
2023-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/5/2823 |
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| author | Hedia Chakroun Nessrine Zemni Ali Benhmid Vetiya Dellaly Fairouz Slama Fethi Bouksila Ronny Berndtsson |
| author_facet | Hedia Chakroun Nessrine Zemni Ali Benhmid Vetiya Dellaly Fairouz Slama Fethi Bouksila Ronny Berndtsson |
| author_sort | Hedia Chakroun |
| collection | DOAJ |
| description | Estimating crop evapotranspiration (ET<sub>a</sub>) is an important requirement for a rational assessment and management of water resources. The various remote sensing products allow the determination of crops’ biophysical variables integrated in the evaluation of ET<sub>a</sub> by using surface energy balance (SEB) models. This study compares ET<sub>a</sub> estimated by the simplified surface energy balance index (S-SEBI) using Landsat 8 optical and thermal infra-red spectral bands and transit model HYDRUS-1D. In semi-arid Tunisia, real time measurements of soil water content (θ) and pore electrical conductivity (EC<sub>p</sub>) were made in the crop root zone using capacitive sensors (5TE) for rainfed and drip irrigated crops (barley and potato). Results show that HYDRUS model is a fast and cost-effective assessment tool for water flow and salt movement in the crop root layer. ET<sub>a</sub> estimated by S-SEBI varies according to the available energy resulting from the difference between the net radiation and soil flux G<sub>0</sub>, and more specifically according to the assessed G<sub>0</sub> from remote sensing. Compared to HYDRUS, the ET<sub>a</sub> from S-SEBI was estimated to have an R<sup>2</sup> of 0.86 and 0.70 for barley and potato, respectively. The S-SEBI performed better for rainfed barley (RMSE between 0.35 and 0.46 mm·d<sup>−1</sup>) than for drip irrigated potato (RMSE between 1.5 and 1.9 mm·d<sup>−1</sup>). |
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| language | English |
| last_indexed | 2024-03-11T07:09:13Z |
| publishDate | 2023-03-01 |
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| spelling | doaj.art-207fd16d50a14735aa74e90a8132602b2023-11-17T08:40:14ZengMDPI AGSensors1424-82202023-03-01235282310.3390/s23052823Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water SimulationHedia Chakroun0Nessrine Zemni1Ali Benhmid2Vetiya Dellaly3Fairouz Slama4Fethi Bouksila5Ronny Berndtsson6LR99ES19 Laboratory of Modelling in Hydraulics and Environment (LMHE), National Engineering School of Tunis (ENIT), University of Tunis El Manar, BP 37, Tunis 1002, TunisiaLR20INRGREF04 Laboratory of Rural Engineering, National Institute for Research in Rural Engineering, Water and Forestry (INRGREF), University of Carthage, BP 10, Ariana 2080, TunisiaLR99ES19 Laboratory of Modelling in Hydraulics and Environment (LMHE), National Engineering School of Tunis (ENIT), University of Tunis El Manar, BP 37, Tunis 1002, TunisiaLR99ES19 Laboratory of Modelling in Hydraulics and Environment (LMHE), National Engineering School of Tunis (ENIT), University of Tunis El Manar, BP 37, Tunis 1002, TunisiaLR99ES19 Laboratory of Modelling in Hydraulics and Environment (LMHE), National Engineering School of Tunis (ENIT), University of Tunis El Manar, BP 37, Tunis 1002, TunisiaLR20INRGREF04 Laboratory of Rural Engineering, National Institute for Research in Rural Engineering, Water and Forestry (INRGREF), University of Carthage, BP 10, Ariana 2080, TunisiaDivision of Water Resources Engineering, Lund University, P.O. Box 118, SE-221 00 Lund, SwedenEstimating crop evapotranspiration (ET<sub>a</sub>) is an important requirement for a rational assessment and management of water resources. The various remote sensing products allow the determination of crops’ biophysical variables integrated in the evaluation of ET<sub>a</sub> by using surface energy balance (SEB) models. This study compares ET<sub>a</sub> estimated by the simplified surface energy balance index (S-SEBI) using Landsat 8 optical and thermal infra-red spectral bands and transit model HYDRUS-1D. In semi-arid Tunisia, real time measurements of soil water content (θ) and pore electrical conductivity (EC<sub>p</sub>) were made in the crop root zone using capacitive sensors (5TE) for rainfed and drip irrigated crops (barley and potato). Results show that HYDRUS model is a fast and cost-effective assessment tool for water flow and salt movement in the crop root layer. ET<sub>a</sub> estimated by S-SEBI varies according to the available energy resulting from the difference between the net radiation and soil flux G<sub>0</sub>, and more specifically according to the assessed G<sub>0</sub> from remote sensing. Compared to HYDRUS, the ET<sub>a</sub> from S-SEBI was estimated to have an R<sup>2</sup> of 0.86 and 0.70 for barley and potato, respectively. The S-SEBI performed better for rainfed barley (RMSE between 0.35 and 0.46 mm·d<sup>−1</sup>) than for drip irrigated potato (RMSE between 1.5 and 1.9 mm·d<sup>−1</sup>).https://www.mdpi.com/1424-8220/23/5/2823S-SEBIHYDRUS-1D5TE sensorevaporative fractionevapotranspirationbarley |
| spellingShingle | Hedia Chakroun Nessrine Zemni Ali Benhmid Vetiya Dellaly Fairouz Slama Fethi Bouksila Ronny Berndtsson Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation Sensors S-SEBI HYDRUS-1D 5TE sensor evaporative fraction evapotranspiration barley |
| title | Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation |
| title_full | Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation |
| title_fullStr | Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation |
| title_full_unstemmed | Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation |
| title_short | Evapotranspiration in Semi-Arid Climate: Remote Sensing vs. Soil Water Simulation |
| title_sort | evapotranspiration in semi arid climate remote sensing vs soil water simulation |
| topic | S-SEBI HYDRUS-1D 5TE sensor evaporative fraction evapotranspiration barley |
| url | https://www.mdpi.com/1424-8220/23/5/2823 |
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