Assessing the feasibility of applying remote sensing technique in calculating water consumption

Autor: Magda Mohamed, Huda Kamal Soussa, Nagy Aly Hassan, Talaat Taher El-Gamal
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Water Supply, Vol 23, Iss 7, Pp 2623-2637 (2023)
Druh dokumentu: article
ISSN: 1606-9749
1607-0798
DOI: 10.2166/ws.2023.139
Popis: Remote sensing techniques are currently used in different fields including irrigation and water management fields. One of the important fields is the calculation of water consumption (WC). Remote sensing techniques can be used to estimate actual evapotranspiration and it can also be used to estimate crop coefficients based on spectral reflectance of vegetation indices (VIs), and from a relation with normalized difference vegetation index (NDVI), which is an indicator for the absorption and the reflection ratios by the green plant. The current study used remote sensing data to calculate WC for El-Bostan irrigation district. Crop coefficient values were calculated from NDVI and reference evapotranspiration values were calculated using CROPWAT program. The obtained results were verified by comparing them with field measurements. There was a strong linear correlation between the measured and calculated values with r2 of 0.90, while the root-mean-square error (RMSE) was 0.68. The results were also verified by comparing irrigation efficiencies obtained from remote sensing and from field measurements. The results were very close to each other. The study illustrated the importance and the reliability of using remote sensing techniques in calculating WC values, and which could improve water management and water use efficiency. HIGHLIGHTS Proper irrigation management requires an accurate estimation of crop water requirements.; Calculating water consumption values based on traditional techniques is not valid.; Calculation of crop water consumption using remote sensing technique at the irrigation district level.; The study depended on comparing calculated and measured water consumption values.; Using remote sensing technology can improve water management.;
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