Lack of surface water resources has led to uncontrolled abstraction of groundwater in many parts of the world and severe depletion of groundwater table levels. With the increasing population, the extraction of these resources has increased and these natural reserves are facing a serious threat. The present study was conducted to monitor the groundwater level using satellite images and the relationship that it can have with land use. In order to achieve the desired result, first the relevant satellite images were taken, and the necessary pre-processing was applied on each of them. Among the important tools, the use of object-oriented method, land use classification map was extracted for both years and Land use change map was extracted for a period of 15 years (2000-2015). Finally, in order to monitor the groundwater level map, the groundwater level map of the study area for both years was extracted by Gaussian method, which was the most accurate method. The results showed that there is a strong and significant relationship between land use and groundwater level. Areas of the study area that have higher vegetation have lower groundwater levels than other areas. It follows the earth and also causes water to flow from high potential points to these points. Also, irrigated agricultural use had the highest average drop in water level compared to other uses, which indicates the excessive use of groundwater to irrigate irrigated agricultural products in the study area.The results also showed that the conventional kriging method with Gaussian variance is more accurate than the other methods used to estimate the depth of groundwater water table in both statistical periods. Conveying by conventional kriging method showed that the groundwater level in most parts of the plain has decreased during the study period. The maximum drop is 40 meters and the average is 15 meters.

Keywords: Groundwater, geostatistical methods, object-oriented classification, land use

     

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