Mostafa Taleshi; Shahbakhti Rostami; Behruz Gharani Arani; Amanallah Taromi
Abstract
Land is the basis of most human activities, production systems, and achieving sustainable development. On the other hand, with social and economic changes and unconventional resource exploitation, land instability conditions are intensifying. Measuring land use changes requires examining issues such ...
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Land is the basis of most human activities, production systems, and achieving sustainable development. On the other hand, with social and economic changes and unconventional resource exploitation, land instability conditions are intensifying. Measuring land use changes requires examining issues such as land use system, land cover, and monitoring patterns. Land use and land cover patterns, by providing monitoring and understanding the process of changes in the exploitation system through the use of remote sensing techniques, facilitate the possibility of reforming and changing policymaking, optimal management, and future planning of environmental resources. The aim of the present study is to monitor the changes in the LULC system in the Kuhpayeh-Segzi sub-basin using satellite images in the period 2000 to 2023 and update spatial information. The results of the evaluation of the land use and land cover maps using the Decision Tree Algorithm indicate an increase in the area of more than 97% of built-up land, 173% of rangeland, 230% of irrigated areas, 72% of agricultural land, and a decrease in the area of more than 14% of barren land. In this process, 913 hectares of barren land, 244 hectares of rangeland, 44 hectares of agricultural land, and 0.155 hectares of irrigated areas have been converted into built-up land. Sustainability of environmental resources, especially reducing the trend of land use and land cover change and stabilizing the exploitation system, requires the implementation of optimal resource management and the application of land protection models with the participation and empowerment of local rural communities.
Mohammadjavad Safaee; Rahman Zandi; mahdi Zanganeh; Narges Sepehrisadr
Abstract
Urban sprawl is a well-known feature of most cities in developing countries. Unbalanced urban expansion towards the surrounding rural areas has led to the disorderly development of the city, the destruction of natural lands and the conversion of suitable agricultural lands to other uses. The current ...
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Urban sprawl is a well-known feature of most cities in developing countries. Unbalanced urban expansion towards the surrounding rural areas has led to the disorderly development of the city, the destruction of natural lands and the conversion of suitable agricultural lands to other uses. The current research was conducted with the aim of investigating and predicting land use changes in villages around Sabzevar city. The current research is descriptive-inferential in terms of its practical purpose, and analytical-composite research from the point of view of doing it. In this research, four major uses of built spaces, gardens, vegetation and barren spaces have been investigated and predicted. The time period of the images from 1985 to 2020 is considered to examine the changes in uses and to 2040 for forecasting. To process images, Kappa coefficient and Markov chain models have been used in GIS, ENVI, Tersset and SAGA programs. The results show that the development of built uses will cause changes in vegetation and garden classes and reduce barren land use. Markov model prediction shows that the area of built spaces in 1985 was equal to 13 square kilometers, which increased to 42 square kilometers in 2020 and is predicted to reach 54 square kilometers in 2040, with an annual growth of 1.3 percent.
MOHAMAD TAGHI heydari; marayam rahmani; majid hazrati; mohamad taghi boueini
Abstract
Land use management is one of the important axes of sustainable development, resource conservation and proper use of resources. The purpose of this article is to investigate the role of local managers in land use management and prevent informal land use change in rural areas of Khoramdareh Township. ...
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Land use management is one of the important axes of sustainable development, resource conservation and proper use of resources. The purpose of this article is to investigate the role of local managers in land use management and prevent informal land use change in rural areas of Khoramdareh Township. The research method is descriptive-analytical and data collection has been done using documentary and field studies. The statistical population is the villages of Khoramdareh Township with a population of 12582 people, of which 373 individuals were evaluated by Morgan table sampling method. Regression analysis was used for data analysis using ERDAS and SPSS software. During the study period (1969 to 2013), 1721.6 hectares of land in Khoramdareh Township has undergone land use change. During this period, 176 hectares have been converted to industrial use and 1545 hectares to agricultural use. The satisfaction of the statistical community with the performance of local management in land use management was 0.726; which means that from the statistical community point of view, local management has a direct and high impact on land use management and monitoring of land use change. Among the local management performance indicators, the highest level of satisfaction was with the index of "monitoring rural land use" (β = 0.447) and the lowest level of satisfaction was with the index of "rural economy development (agriculture)" (β = 0.227). In order to have a better land use management, it is necessary to increase supervision, change the use in accordance with the environmental capabilities and prepare the land use cadaster of the region.
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.
Amin Faal Jalali; Maryam Ghasemi
Abstract
One of the main and important tasks of planners in rural areas is to allocate land for various uses according to the role and function and the impact of each use on the others. In fact, the ultimate goal of land use planning is to create a kind of environmental balance and social justice in the process ...
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One of the main and important tasks of planners in rural areas is to allocate land for various uses according to the role and function and the impact of each use on the others. In fact, the ultimate goal of land use planning is to create a kind of environmental balance and social justice in the process of development of residential areas. Land use planning should address quality objectives such as security, adaptability, landscape and sense of dependence on the environment. The purpose of this study is to evaluate the compatibility of rural land-uses in tourism destinations in terms of public safety, landscape, comfort and convenience. The research method is descriptive and analytical. In this study, eight tourist destinations in Binaloud county were selected and the degree of adaptation was divided into three matrices: 1- Comfort and convenience, 2- Public safety 3- Landscape and view between 49 land-uses among rural experts and the studied villages in a range categorized from fully compatible to completely incompatible. The results showed that all the studied villages are in a comparable situation in terms of adaptability. In the public safety matrix, religious use with an average of 4.16 is in the first place and historical use with an average of 3.25 is in the last place. In the landscape and perspective matrix, religious use with an average of 3.73 ranks first and industrial-workshop use with 1.35 is in the last ranking. In the comfort and convenience matrix, the use of access network and passages with an average of 4.26 is in the first place and the historical use with an average of 3.10 is in the last place. In general, in terms of compatibility, educational land-use with 3.82 is in the first place, and historical use with 3.25 is in the last place.
Rahman Zandi; Mokhtar Karami; Jalal Taheri
Abstract
During the last four decades, the rapid growth of urbanization has dramatically transformed many natural phenomena. Such changes led eventually to changes in the Earth's surface temperature. The purpose of this study was to investigate the relationship between land use changes and spatial variations ...
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During the last four decades, the rapid growth of urbanization has dramatically transformed many natural phenomena. Such changes led eventually to changes in the Earth's surface temperature. The purpose of this study was to investigate the relationship between land use changes and spatial variations of thermal islands in Mashhad from 1998 to 2016. Thus, land surface temperature and land use changes of Mashhad were extracted using Landsat satellite imagery (1998- 2016). The CA Markov model has also been used to simulate and predict the expansion of Mashhad. From 1998 to 2016, the constructed area, green space, rangeland and barren lands are changed from 138.52, 46.49, 35.85 and 100.71 square kilometers to 198.87, 29.98, 31.29 and 64.62 square kilometers, respectively. Thermal islands in terms of number and extent in 1998 were less extensive and less synchronous than in 2016. In 1998 the maximum level of temperature was between 42 to 48 degrees Celsius but it reached 46 to 52 in 2016. With respect to the expansion of constructed area in the mentioned time period, the thermal islands are moved from outside of the city to the inside and have been overlapped with hard and impenetrable planes. The obtained results from the prediction illustrate that the expansion of city will occur in northwestern sides more than the others and it will be less in southern sides due to the existence of altitudes.
Hamdollah Sojasi Qeidari; Aida Sadrossadat
Abstract
The present study is aimed to investigate the effects of tourism development on land use changes in rural areas. The development of tourism activities results in massive structural change in rural areas with natural attractions. A descriptive-analytical method is adopted by the present study. Based on ...
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The present study is aimed to investigate the effects of tourism development on land use changes in rural areas. The development of tourism activities results in massive structural change in rural areas with natural attractions. A descriptive-analytical method is adopted by the present study. Based on the literature review, a questionnaire was formulated and completed by 356 villagers in 10 touristy villages of Binaloud county. The validity of questionnaire was confirmed by a panel of experts and its reliability was confirmed by Cronbach's alpha coefficient. The data were analyzed using SPSS software, including T-test to compare the mean of indices, Pearson correlation and regression model. Also the villages were ranked by Vickor multi-criteria programming method to assess the changes occurred in their land use. Results indicated that there is a significant correlation between the presence of tourists and four components of: 1- physical changes, 2- incentives for more land use changes, 3- structural and communication changes and 4- economic changes in rural areas. The regression results revealed that a considerable part of the dependent variable (land use change) is explained by the independent variable (the tourists). Also, the results of the ranking of the studied villages in terms of the impact of land use changes on tourism indicated that three villages namely: MayanOlia, Mayansofla and Mayanvosta have experienced more land use changes than the others.
