Mehdi Asadi; Khalil Valizadeh Kamran; Mohammad Baaghideh; Hamed Adab
Abstract
Monitoring evapotranspiration has important implications for global climate modeling. Therefore, the evapotranspiration rate of different land uses in the northern half of Ardebil province based on object-based classification with Kappa coefficient of 0.945 and overall accuracy of 0.956, using Landsat ...
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Monitoring evapotranspiration has important implications for global climate modeling. Therefore, the evapotranspiration rate of different land uses in the northern half of Ardebil province based on object-based classification with Kappa coefficient of 0.945 and overall accuracy of 0.956, using Landsat 8 images related to the date of 2018/7/1, using SEBAL and mountain SEBAL Estimated and compared with Penman-Monteith method. Based on the obtained results, the water levels with the amount of 9.61 and 9.5 mm / day have the highest evapotranspiration and urban and Bayer lands with mean values of 2.845 and 2.08 mm / day, respectively, in the methods of SEBAL and SEBAL Mountains have the lowest 24-hour evapotranspiration. Also, the amount of water requirement for pea crop was estimated to be 7.14 and 6.70 mm / day, respectively, for SEBAL and mountain SEBAL and was compared with the Penman-Monteith method at a value of 6.32 mm / day which has a mean absolute difference (MAD) of 0.60. In the following, the area of each land was extracted, which had the lowest amount of cultivated pea land with the area of 1202.62 hectares and the area (1147.25 hectares) declared by the Agricultural Jihad in Ardebil province was about 4.6 percent, which seems to be acceptable.
