تحلیل روند تغییرات کاربری اراضی روستایی در فضاهای پیراشهری رشت (مورد مطالعه: روستاهای بخش لشت نشاء) (مقاله علمی وزارت علوم)
درجه علمی: نشریه علمی (وزارت علوم)
آرشیو
چکیده
پژوهش حاضر باهدف بررسی تغییرات کاربری اراضی در طی دو دهه اخیر در روستاهای بخش لشت نشاء شهرستان رشت؛ انجام شده است. روش تحقیق در پژوهش حاضر از نوع کمی بوده و بر اساس هدف از نوع کاربردی می باشد. جامعه آماری روستاهای بخش لشت نشاء در سه دهستان (جیرهنده لشت نشاء، علی آباد زیباکنار، گفشه لشت نشاء)، در بین سال های1380 تا1400(2020 –2000م)می باشد. به منظور تجزیه وتحلیل تصاویر ماهواره ای، در ابتدا به بررسی پیش پردازش تصاویر ماهواره ای (تصحیحات اتسمفری، تصحیحات هندسی، تصحیح خطوط جاافتاده، طبقه بندی تصاویر)، پرداخته شد و به منظور روش های طبقه بندی از روش حداکثر احتمال، شبکه عصبی مصنوعی، برآورد ماتریس خطا، ضریب کاپا استفاده شد. نتایج نشان داد، در طول دوره مطالعاتی، در روستاهای موردمطالعه اراضی کشاورزی و آب دارای روند کاهشی و باغات و مناطق مسکونی دارای روند افزایشی بودند. همچنین قابل ذکر است، از بین دهستان های موردمطالعه، تغییرات مناطق مسکونی در دهستان های زیباکنار و گفشه سریع تر از دهستان جیرهنده بوده است، و همچنین شدت تغییرات کاربری اراضی در سال های 2015 تا 2020 بیشتر از سال های دیگر بوده است.Analysis of the trend of rural land use changes in the peri-urban areas of Rasht City(Case of study: villages of Lesht Nasha district)
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.
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