The current research aims to investigate and determine the changes in land use during the last two decades in the villages of Rasht Nasha district of Rasht County; done. The research method in the present study is of quantitative type and based on the objective, it is of applied type. The statistical population of the villages of Lashet Nasha district in three villages (Jirhande Lashet Nasha, Ali Abad Zibakanar, Gafshe Lashet Nasha), between the years 2000 and 2020. In order to analyze the satellite images, at first, the pre-processing of satellite images (atmospheric corrections, geometric corrections, correction of solid lines, image classification) was investigated, and for the purpose of classification methods from Maximum likelihood method, artificial neural network, error matrix estimation, kappa coefficient were used. The results showed that during the study period, in the studied villages, agricultural land and water had a decreasing trend, and gardens and residential areas had an increasing trend. It is also worth mentioning that among the studied villages, the changes in residential areas in Ziba Kanaar and Gafsheh villages were faster than Jirandeh villages, and also the intensity of land use changes in the years 2015 to 2022 is more than other years. The current research aims to investigate and determine the changes in land use during the last two decades in the villages of Rasht Nasha district of Rasht County; done. The research method in the present study is of quantitative type and based on the objective, it is of applied type. The statistical population of the villages of Lashet Nasha district in three villages (Jirhande Lashet Nasha, Ali Abad Zibakanar, Gafshe Lashet Nasha), between the years 2000 and 2020. In order to analyze the satellite images, at first, the pre-processing of satellite images (atmospheric corrections, geometric corrections, correction of solid lines, image classification) was investigated, and for the purpose of classification methods from Maximum likelihood method, artificial neural network, error matrix estimation, kappa coefficient were used. The results showed that during the study period, in the studied villages, agricultural land and water had a decreasing trend, and gardens and residential areas had an increasing trend. It is also worth mentioning that among the studied villages, the changes in residential areas in Ziba Kanaar and Gafsheh villages were faster than Jirandeh villages, and also the intensity of land use changes in the years 2015 to 2022 is more than other years. The current research aims to investigate and determine the changes in land use during the last two decades in the villages of Rasht Nasha district of Rasht County; done. The research method in the present study is of quantitative type and based on the objective, it is of applied type. The statistical population of the villages of Lashet Nasha district in three villages (Jirhande Lashet Nasha, Ali Abad Zibakanar, Gafshe Lashet Nasha), between the years 2000 and 2020. In order to analyze the satellite images, at first, the pre-processing of satellite images (atmospheric corrections, geometric corrections, correction of solid lines, image classification) was investigated, and for the purpose of classification methods from Maximum likelihood method, artificial neural network, error matrix estimation, kappa coefficient were used. The results showed that during the study period, in the studied villages, agricultural land and water had a decreasing trend, and gardens and residential areas had an increasing trend. It is also worth mentioning that among the studied villages, the changes in residential areas in Ziba Kanaar and Gafsheh villages were faster than Jirandeh villages, and also the intensity of land use changes in the years 2015 to 2022 is more than other years. The current research aims to investigate and determine the changes in land use during the last two decades in the villages of Rasht Nasha district of Rasht County; done. The research method in the present study is of quantitative type and based on the objective, it is of applied type. The statistical population of the villages of Lashet Nasha district in three villages (Jirhande Lashet Nasha, Ali Abad Zibakanar, Gafshe Lashet Nasha), between the years 2000 and 2020. In order to analyze the satellite images, at first, the pre-processing of satellite images (atmospheric corrections, geometric corrections, correction of solid lines, image classification) was investigated, and for the purpose of classification methods from Maximum likelihood method, artificial neural network, error matrix estimation, kappa coefficient were used. The results showed that during the study period, in the studied villages, agricultural land and water had a decreasing trend, and gardens and residential areas had an increasing trend. It is also worth mentioning that among the studied villages, the changes in residential areas in Ziba Kanaar and Gafsheh villages were faster than Jirandeh villages, and also the intensity of land use changes in the years 2015 to 2022 is more than other years.