نوع مقاله : مقاله پژوهشی
نویسندگان
1 هیات علمی/دانشگاه تبریز
2 گروه سنجش از دورو GIS دانشگاه تبریز
3 M.A Student in Remote Sensing and Geographic Information System, University of Tabriz
چکیده
Land use and land cover change have been among the most important perceptible changes taking place around us. Although perceptible, the magnitude, variety and the spatial variability of the changes taking place has made the quantification and assessment of land use and land cover changes a challenge to scientists. Furthermore, since most of the land use and land cover changes are directly influenced by human activities, they rarely follow standard ecological theories. The Remote Sensing and Geographic Information System has proved to be very important in assessing and analyzing land use and land cover changes. Satellite-based Remote Sensing, by virtue of its ability to provide synoptic information of land use and land cover at a particular time and location, has revolutionized the study of land use and land cover change. The temporal information on land use and land cover helps identify the areas of change in a region. The use of Geoinformatics has enabled us to assign spatial connotations to land use land cover changes, namely, population pressure, climate, terrain, etc which drive these changes. This has helped scientists to quantify these tools and to predict various scenarios. The purpose of this paper is to detect and evaluate land use and land cover changes (LULCC) of Khanaqin urban area over 20 years using remote sensing techniques and Landsat dataset for years 2000, 2010, and 2020. For this purpose supervised classification algorithm and maximum likelihood method has been used. Results show that Water lands, Built-up area, and Vegetation areas increased from 2000 to 2020 in the last 20 years while Barren lands, and Agricultural mixed lands had decreased. According to the analysis and results obtained, this research can be useful in the field of regional and environmental management in the city of Khanaqin and in the field of urban planning and management and research decisions in this region can be used
تازه های تحقیق
At present, satellite imagery is one of the most powerful tools for researchers to detect and detect changes due to its unique capabilities, which is used in many environmental sciences. Examining changes is one of the most important parts of analyzing satellite images, which today are used in a variety of ways to study changes before and after a particular time.Land use maps are one of the requirements of any national and regional development planning that enables managers and planners to design and implement the necessary measures by identifying the current situation and comparing capabilities and potentials to meet current and future needs. In fact, the results of such studies indicate the type of management applied in the region and also indicate its strengths and weaknesses during the study period, which can be a powerful management tool for optimal land management to achieve sustainable development and appropriate for managers and local officials. To take. Irregular land use changes in the future, regardless of the environmental situation, can also lead to environmental hazards. Therefore, the mentioned changes, especially the changes in residential areas, should be done in accordance with the conditions governing the environment and in compliance with the relevant principles.
The urban communities of Iraq, and especially the remote and less developed cities of the country, have suffered great losses in economic, social, environmental, and managerial aspects of the spatial distribution of urban land uses. The rapid growth of Khanaqin city in recent decades along with the current growth pattern has led to economic, demographic, and urban development and so on. This issue is due to the significant growth of residential, industrial, and commercial construction in recent years, which has led to changes in land-use patterns in this city.
In this study, urban land-use changes in the city of Khanaqin in Iraq have studied over a period of 20 years from 2000 to 2020 using remote sensing techniques and GIS. To classification of satellite images of the study area, 5 land use classes including barren lands, agricultural lands, built-up lands, mixed vegetation, and water lands have been considered for analysis. And using 350 training samples, the supervised classification algorithm of the maximum likelihood type has been implemented for this purpose. Results show that all classes except barren lands have been growing from 2000 to 2020, and therefore only barren lands have lost in total 6% of their area during this due to the growth of other lands, especially urban and agricultural lands. Also, during this period, the amount of residential and commercial constructions has been growing and in total, over a period of 20 years, about 141% of the urban land area has been added to them. Vegetation lands of the study area are also faced growth in these 20 years and the rate in the first period with 61%, compared to the second period with 6% was much higher. But the water lands had Growth in 20 years, in the first period increased by 148 percent and in the second period compared to the first period decreased by 12 percent. Agricultural lands also had a 25% growth in the second period, with a 46% decrease in area in the first period.
According to the analysis and results obtained, this research can be useful in the field of regional and environmental management in the city of Khanaqin and in the field of urban planning and management and research decisions in this region can be used. Also, due to the lack of relevant research in this area, the results of this study can be useful and effective in future studies for analyzing interactive between land-use types and land-use trends, and land cover in this area.
کلیدواژهها
عنوان مقاله [English]
Urban land use/cover mapping and change detection analysis using time series satellite images
نویسندگان [English]
1 Academic Member/University of Tabriz
2 Department of Remote Sensing and GIS. Faculty of Planning and Environmental Sciences. University of Tabriz
3 M.A Student in Remote Sensing and Geographic Information System, University of Tabriz
Land use and land cover change have been among the most important perceptible changes taking place around us. Although perceptible, the magnitude, variety and the spatial variability of the changes taking place has made the quantification and assessment of land use and land cover changes a challenge to scientists. Furthermore, since most of the land use and land cover changes are directly influenced by human activities, they rarely follow standard ecological theories. The Remote Sensing and Geographic Information System has proved to be very important in assessing and analyzing land use and land cover changes. Satellite-based Remote Sensing, by virtue of its ability to provide synoptic information of land use and land cover at a particular time and location, has revolutionized the study of land use and land cover change. The temporal information on land use and land cover helps identify the areas of change in a region. The use of Geoinformatics has enabled us to assign spatial connotations to land use land cover changes, namely, population pressure, climate, terrain, etc which drive these changes. This has helped scientists to quantify these tools and to predict various scenarios. The purpose of this paper is to detect and evaluate land use and land cover changes (LULCC) of Khanaqin urban area over 20 years using remote sensing techniques and Landsat dataset for years 2000, 2010, and 2020. For this purpose supervised classification algorithm and maximum likelihood method has been used. Results show that Water lands, Built-up area, and Vegetation areas increased from 2000 to 2020 in the last 20 years while Barren lands, and Agricultural mixed lands had decreased. According to the analysis and results obtained, this research can be useful in the field of regional and environmental management in the city of Khanaqin and in the field of urban planning and management and research decisions in this region can be used.