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

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 (theta) 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 G(0), and more specifically according to the assessed G(0) from remote sensing. Compared to HYDRUS, the ETa from S-SEBI was estimated to have an R-2 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 center dot d(-1)) than for drip irrigated potato (RMSE between 1.5 and 1.9 mm center dot d(-1)).

Automated summary

Estimating crop evapotranspiration (ETa) is crucial for water resource management. This study compares the ETa estimated by the S-SEBI model using Landsat 8 data and the HYDRUS-1D model in Tunisia. The results show that the HYDRUS model is a cost-effective tool for analyzing water flow and salt movement in the crop root zone. The S-SEBI model performed well in estimating ETa, with higher accuracy for rainfed barley compared to drip irrigated potato.