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Evapotranspiration in Semi-Arid Climate : Remote Sensing vs. Soil Water Simulation

Chakroun, Hedia ; Zemni, Nessrine LU ; Benhmid, Ali ; Dellaly, Vetiya ; Slama, Fairouz ; Bouksila, Fethi LU and Berndtsson, Ronny LU orcid (2023) In Sensors 23(5).
Abstract

Estimating crop evapotranspiration (ETa) 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 ETa by using surface energy balance (SEB) models. This study compares ETa 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 (ECp) were made in the crop root zone using capacitive sensors (5TE) for rainfed and drip irrigated crops (barley... (More)

Estimating crop evapotranspiration (ETa) 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 ETa by using surface energy balance (SEB) models. This study compares ETa 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 (ECp) 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. ETa estimated by S-SEBI varies according to the available energy resulting from the difference between the net radiation and soil flux G0, and more specifically according to the assessed G0 from remote sensing. Compared to HYDRUS, the ETa from S-SEBI was estimated to have an R2 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−1) than for drip irrigated potato (RMSE between 1.5 and 1.9 mm·d−1).

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
5TE sensor, barley, evaporative fraction, evapotranspiration, HYDRUS-1D, potato, S-SEBI
in
Sensors
volume
23
issue
5
article number
2823
publisher
MDPI AG
external identifiers
  • pmid:36905029
  • scopus:85149886088
ISSN
1424-8220
DOI
10.3390/s23052823
language
English
LU publication?
yes
id
a10c22fa-44d0-495c-8402-46d9772ef545
date added to LUP
2023-06-09 11:20:26
date last changed
2024-04-19 22:42:07
@article{a10c22fa-44d0-495c-8402-46d9772ef545,
  abstract     = {{<p>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>).</p>}},
  author       = {{Chakroun, Hedia and Zemni, Nessrine and Benhmid, Ali and Dellaly, Vetiya and Slama, Fairouz and Bouksila, Fethi and Berndtsson, Ronny}},
  issn         = {{1424-8220}},
  keywords     = {{5TE sensor; barley; evaporative fraction; evapotranspiration; HYDRUS-1D; potato; S-SEBI}},
  language     = {{eng}},
  number       = {{5}},
  publisher    = {{MDPI AG}},
  series       = {{Sensors}},
  title        = {{Evapotranspiration in Semi-Arid Climate : Remote Sensing vs. Soil Water Simulation}},
  url          = {{http://dx.doi.org/10.3390/s23052823}},
  doi          = {{10.3390/s23052823}},
  volume       = {{23}},
  year         = {{2023}},
}