somayye norouzi gelehkolaie; Ahmad hatami; somaye parvizy
Abstract
Cities are growing and developing at a high speed, and the urbanization process is one of the most important issues facing urban planners. Along with the high level of population growth, land use change and its conversion to urban uses is also an important issue. The present study is an attempt to explain ...
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Cities are growing and developing at a high speed, and the urbanization process is one of the most important issues facing urban planners. Along with the high level of population growth, land use change and its conversion to urban uses is also an important issue. The present study is an attempt to explain the spatial patterns of Kermanshah city in the last 25 years. The research is applied in nature and descriptive-analytical in terms of method and based on remote sensing data. First, the images of 1995-2005-2020 were obtained from Landsat 5 and 8 satellites in TM and OLI sensors. Then, using NVEI software and supervised classification method, the images were converted into land use maps in four classes: urban, agricultural, mountain and water. Then the maps were prepared using ARCGIS software to enter FRAGASTATS software and in the next step, they were entered to this software to analyze the landscape of the land. In the next step, these maps were analyzed using spatial metrics (PALAN-PD-NP-LSI-LPI-AWMFD-ENN-MN). In the last stage, by entering these metrics into the Shannon entropy model, a general overview of the spatial growth pattern of Kermanshah city in the last 25 years was obtained. The results of this research showed that the city of Kermanshah has experienced different growth patterns in the last 25 years. Patterns can be categorized into 3 periods. In the first period (year 1995), due to the rapid growth of urbanization and the inadequacy of urban planning patterns, the city experiences a period of scattered growth in isolated urban spots. In the second period (2005), due to the reduction of migrations and the development of the city within the limits of the existing spots, the city spends a period of compact pattern. But again, in the third period (2020), the city of Kermanshah has entered a period of dispersion pattern, which has approached the spatial pattern of a scattered city in all the metrics of the landscape.
Akram Foroughifar; Soolmaz Dashti
Abstract
Today, the developing world is experiencing unprecedented growth that has a significant impact on land use intensification. Therefore, modeling and predicting growth patterns is crucial for natural resource planners and proponents to formulate a sustainable development strategy. The main purpose of modeling ...
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Today, the developing world is experiencing unprecedented growth that has a significant impact on land use intensification. Therefore, modeling and predicting growth patterns is crucial for natural resource planners and proponents to formulate a sustainable development strategy. The main purpose of modeling is to identify the factors and trends of future changes based on past changes. Monitoring the occurred changes in land units requires the use of rapid and appropriate methods to gather information and integrate layers of information. In the present study, based on image quality, the trend and rate of land use changes in Shush Township in a 30-year time series (1987, 2000 and 2017) have been investigated using Landsat satellite images and TM, OLI and MSS sensors. Different sections were processed and analyzed using ArcGIS, IDRISI and ENVI software. After classifying the images by the most similar supervised method, the classified maps were obtained with an average Kappa coefficient accuracy of 96.1%. The results of detection of changes showed that the largest decrease in area has occurred for uncovered land by 49078 hectares, and the highest increase was for agricultural land by 52691 hectares, which indicates the change of use of uncovered land in favore of agricultural land.
Mohammad Karimi Firozjaei; Majid Kiavarz; Mohsen Kalantari
Abstract
Nowadays, interlinking of structural, social, environmental and economic aspects of cities is a major problem which results from unplanned horizontal expansion of cities and their land-use changes. The purpose of the present study is to investigate the land use changes and physical expansion of Babol ...
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Nowadays, interlinking of structural, social, environmental and economic aspects of cities is a major problem which results from unplanned horizontal expansion of cities and their land-use changes. The purpose of the present study is to investigate the land use changes and physical expansion of Babol city during the last 30 years and to predict the land use change’s trend for the future. To do so, Landsat multi-temporal images of 1985, 1992, 2000, and 2015 were used. The maximum likelihood algorithm was applied for classification of land use and cross tab model was used for investigation of land use changes. The scattered expansion of the city was examined through Shannon’s entropy index. Moreover, the CA-Markov model was applied to predict the land use change’s trend as well as the physical expansion of Babol city. Results of the present study confirmed the extreme physical expansion of Babol city during the last three decades. Such an expansion was the main reason for degradation of agricultural lands and green spaces around the suburbs. The growth rate of the built-up areas was 92%. The more distance from the built-up areas the less changes occurred in land uses. Also, the Shannon entropy index was increased from 0.73 in 1985 to 0.8 in 2015 which is an indication of the scattered expansion of the city. It can be predicted that besides decreasing 704 hectares of agricultural areas, a 33% growth will be occurred in built up areas from 2015 to 2040. It consequently requires the specific attention of urban managers and planners.
