The main purpose of this research is to monitor the groundwater level using remote sensing science and satellite images and its relationship with land use. For this purpose, the relevant images were taken first and the necessary pre-processing was applied on each of them. Then the images were modelled and classified. In order to study land use changes, the land use classification map was extracted for 2002 and 2018 years using the object-oriented classification method and then to study land use changes, the land use change map was extracted for a period of 16 years. The highest rate of change is related to the use of rangeland to rainfed agriculture, rangeland to irrigated agriculture, forest to irrigated agriculture and rainfed agriculture to irrigated agriculture. Also, among the modified land uses, forest land use has the lowest increase. After extracting the land use change map in order to select the best interpolation model from different models, all models were evaluated and the Kriging method was more accurate than other methods, which among the different modes of the kriging method Also, K-Bessel model for 2002 and Circular model for 2018 have the highest accuracy. The results of groundwater survey showed that the highest and lowest average water level in 2002 belongs to rainfed agricultural use and water use and in 2018 rainfed agricultural use has the highest average water level and forest use has the lowest average water level.
Asghari saraskanrood S, Mohamadzadeh Shishegaran M, Ghale E. Investigation of land use changes and its relationship with groundwater level Case study: ParsAbad city. جغرافیایی 2021; 21 (75) :75-94 URL: http://geographical-space.iau-ahar.ac.ir/article-1-3732-en.html