تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

آشکارسازی تغییرات کاربری اراضی شهرستان ارومیه با استفاده از سنجش از دور

نویسندگان
نسرین السادات بزمی 1
زهرا حجازی زاده 2
پرویز ضیائیان فیزوز آبادی 3
غلامرضا جانباز قبادی 4
1 دانشجوی دکتری اقلیم شناسی، واحد نور، دانشگاه آزاد اسلامی، نور، ایران.
2 استادیار اقلیم شناسی دانشگاه خوارزمی تهران
3 دانشیار گروه سنجش از دور و سیستم اطلاعات جغرافیایی دانشگاه خوارزمی، تهران، ایران
4 دانشیار گروه اقلیم شناسی، واحد نور، دانشگاه آزاد اسلامی، نور، ایران.
10.61186/jgs.23.70.359
چکیده
این مقاله با هدف آشکارسازی تغییرات کاربری اراضی شهرستان ارومیه با استفاده از سنجش از دور تصاویر ماهواره ای لندست برای 4 دوره 8 ساله بین سالهای 1990 تا 2019 به رشته تحریر درآمد. در این پژوهش از دو دسته داده استفاده شد. دسته اول شامل داده های حاصل از تصایر ماهواره ای و دسته دوم داده های زمینی برداشت شده از ایستگاه زمینی ارومیه که شامل دما و سایر پا.رامتر های مورد استفاده دراین تحقیق میباشد. نتایج نشان داد که که کاربری اراضی شهری، در شهرستان ارومیه طی دوره آماری 30 ساله با تغییرات چشمگیری روبرو بوده که طی دوره مورد مطالعه با افزایشی 5 برابری مواجه بوده است. عرصه های باتلاقی و لجن زارهای شرق دریاچه ارومیه روند کاهشی چشمگیری داشته است. اراضی بایر شهرستان نیز که درصد کمی از مساحت شهرستان را در برگرفته اند، طی دوره 30 ساله مورد بررسی روند کاهشی داشته است. کاربری باغات طی همه دوره ها روند افزایشی داشته است. کاربری کشاورزی آبی طی همه دوره های مورد بررسی روند افزایشی داشته است. پهنه اراضی کشاورزی دیم، بعد از پهنه مراتع، وسیعترین کاربری اراضی شهرستان ارومیه است اما با شیب نسبتا ملایمی روند کاهشی داشته است. پهنه های آبی نیز روند کاهشی داشته اند. مراتع که وسیعترین پهنه پوشش اراضی شهرستان ارومیه است، طی دوره مورد بررسی سه روند متفاوت را داشته است. در طی دوره آماری کمترین وسعت مراتع مربوط به سال 2019 بوده است
کلیدواژه‌ها
کاربری اراضی
سنجش از دور
تصاویر ماهواره ای
لندست
شهرستان ارومیه

عنوان مقاله English

Detection of land use changes of Urmia city with Use remote sensing

نویسندگان English

Nasrinalsadat bazmi 1
zahra Hejazizadeh 2
Parviz Zeaieanfirouzabadi 3
QholamReza Janbazghobadi 4
1 phd studnt, islamic azad university of noor
2 proffesor in climatology, kharazmi university
3 associate Proffesor in gis and rs, kharazmi university
4 associate Proffe in climatology
چکیده English

This article was written with the aim of revealing land use changes in Urmia city using remote sensing of Landsat satellite images for 4 periods of 8 years between 1990 and 2019. For this purpose, two categories of data will be used in this research. The first category includes data obtained from satellite images and the second category includes ground data taken from Urmia ground station, which includes temperature and other parameters used in this research. The results showed that urban land use in Urmia city has faced significant changes during the statistical period of 30 years. This user has had an increasing trend during all the studied periods, so that during the study period, it has faced a 5-fold increase. Swampy areas and sludge fields east of Lake Urmia have undergone a significant decline during 1990-2019 and has reached less than 6,000 hectares. The citychr('39')s barren lands, which cover a small percentage of the citychr('39')s area, have been declining over the 30-year period under review. The use of gardens has increased during all periods, so that in 2019, its area has reached more than 20,000 hectares. The use of irrigated agriculture has increased during all the studied periods and its area has reached more than 80,000 hectares by 2019. The area of ​​rainfed agricultural lands, after the rangelands, is the widest land use in Urmia, but with a relatively gentle slope has a decreasing trend. Water areas have also been declining, so that in 2019, it has decreased by about 26% compared to 2012. Rangelands, which is the largest land cover in Urmia city, has gone through three different processes during the study period. From 1990 to 1998, these lands did not change significantly, but from 1998 to 2005, the increasing trend and in 2019, with a 10% decrease compared to 2012, reached its lowest area during the statistical period under study, ie less than 20,000 hectares.

کلیدواژه‌ها English

Land use
Remote Sensing
Satellite images
Landsat
Urmia
Batar, A.K., Watanabe, T., and Kumar, A. (2017), Assessment of land-use/land-cover change and forest fragmentation in the Garhwal Himalayan Region of India. Environments, 4(34):1-16.
Buyantuyev A, Wu J.) 2010(. Urban heat islands and landscape heterogeneity: linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns. Landscape Ecology, 25(1):17-33. 8. Carlson, Dodd TN, Benjamin SG, Cooper JN. )1981(. Satellite estimation of the surface energy balance, moisture availability and thermal inertia. Journal of Applied Meteorology, 20(1):67-87.
Chen, F., Kusaka, H., Bornstein, R., Ching, J., Grimmond, C.S.B., Grossman-Clarke, S., Loridan, T., Manning, K.W., Martilli, A., Miao, S., Sailor, D., Salamanca, F.P., Taha, H., Tewari, M., Wang, X., Wyszogrodzki, A.A., Zhang, C., (2011). The integrated WRF/ urban modelling system: development, evaluation, and applications to urban environmental problems. Int. J. Climatol.. http://dx.doi.org/10.1002/joc.2158.
Chen, J., Li, Q.L., Niu, J., Sun, L.Q., (2010). Regional climatechangeand local urbanization effects on weather variables in Southeast China. Stochastic Environmental Research & Risk Assessment. http://dx.doi.org/10.1007/s00477-010-0421-0.
Cheng a .Camilla K.M., Johnny C.L. Chan. (2012). Impacts of land use changes and synoptic forcing on the seasonal climate over the Pearl River Delta of China, Atmospheric Environment 60, 25-36.
Christine Ketterer, Andreas Matzarakis. (2014), Human-biometeorological assessment of the urban heat island in a city with complex topography – The case of Stuttgart, Germany, Urban Climate, 10(3), 573-584.
Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., (2004). Digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing, 25(9), 1565–1596.
Guo G, Wu Z, Xiao R, Chen Y, Liu X, Zhang X. (2015). Impacts of urban biophysical composition on land surface temperature in urban heat island clusters. Landscape and Urban Planning, 135:1-10.
Haboudane, D., Bonn, F., Royer, A., Sommer, S., Mehl, W., (2002). Land degradation and erosion risk mapping by fusion of spectrally based information and digital geomorphometric attributes. International Journal of Remote Sens., 23, 3795–3820.
He, T., Liang, S., Wang, D., Cao, Y., Gao, F., Yu, Y., & Feng, M. (2018). Evaluating land surface albedo estimation from Landsat MSS, TM, ETM+, and OLI data based on the unified direct estimation approach. Remote Sensing of Environment, 204: 181-196.
Huff, F.A., Changnon, S.A., (1972). Climatological assessment of urban effects on precipitation at St. Louis. J. Appl. Meteor. 11, 823e842.
Inoue, T., Kimura, F., (2004). Urban effects on low level clouds around the Tokyo metropolitan area on clear summer days. Geophy.
Jabbar, M.T., Zhou, X., (2011). Eco-environmental change detection by using remote sensing and GIS techniques: a case study Basrah province, south part of Iraq. Journal of Environ Earth Sci., DOI /10,1007 s12665-011-0964-5.
Jun Pill Kim and Jean Michel Guldmann(2014), Land Use Planning and urban heat Island. Environment and planning, 41(6):1-35.
Kalnay, E., Cai, M., 2003. Impact of urbanization and land use on climate change. Nature 423, 528e531.
Kishtawal, C.M., Niyogi, D., Tewari, M., Pielke Sr., R.A., Shepherd, M., 2009. Urbanization signature in the observed heavy rainfall climatology over India. Int. J. Climatol. 30, 1908e1916.
Lam, C.Y., 2006. On Climate Changes Brought About by Urban Living. HKO Reprint No. 700. Hong Kong Observatory, 9 pp.
Li, Z., & Garand, L. (1994). Estimation of surface albedo from space: A parameterization for global application. Journal of Geophysical Research: Atmospheres, 99(D4): 8335-8350.
Niyogi, D., Pyle, P.C., Lei, M., Arya, S.P., Kishtawal, C.M., Shepherd, J.M., Chen, F., Wolfe, B., (2011). Do urban areas modify thunderstorms? e an observational storm climatology and model case study for the Indianapolis urban region. J. Appl. Meteor.Climatol. 150, 1129-1144.
Nonomura A, Kitahara M, Masuda T. (2009). Impact of land use and land cover changes on the ambient temperature in a middle scale city, Takamatsu, in Southwest Japan. Journal of environmental management, 90(11): 3297-3304
Oke T. (1988). The urban energy balance. Progress in Physical geography, 12(4):471508.
Prafull Singh, Pradipika Verma. (2017), Impact of Land use Change and Urbanization on Urban Heat Island in Lucknow City, Central India. A Remote Sensing Based Estimate. 32(16): 1-33.
Rawashdeh, S.B., (2012). Assessment of Change Detection Method Based on Normalized Vegetation Index in Environmental Studies. International Journal of Applied Science and Engineering, 10(2), 89-97.
Ridd, M.K., Liu, J., (1998). A Comparison of Four Algorithms for Change Detection in an Urban Environment. Journal of Remote Sensing Environment, 63, 95-100.
Song, Y., & Wu, C. (2016). Examining the impact of urban biophysical composition and neighboring environment on surface urban heat island effect. Advances in Space Research, 57(1): 96-109.‌
Su Y-F, Foody GM, Cheng K-S. (2012). Spatial non-stationarity in the relationships between land cover and surface temperature in an urban heat island and its impacts on thermally sensitive populations. Landscape and Urban Planning, 107(2):172-180.
Svirejeva-Hopkins A, Schellnhuber HJ, Pomaz VL. (2004). Urbanised territories as a specific component of the Global Carbon Cycle. Ecological Modelling, 173(2):295-312.
Taha H. (1997). Urban climates and heat islands: albedo, evapotranspiration, and anthropogenic heat. Energy and buildings, 25(2):99-103.
Weng, Q., & Yang, S. (2004). Managing the adverse thermal effects of urban development in a densely populated Chinese city. Journal of Environmental Management, 70(2): 145-156.‌
Weng, Q., (2003), Fractal Analysis of Satellite Detected Urban Heat Island Effect, Photogrammetric Engineering and Remote Sensing, 69(5): 555-566.
Weng, Q., Liu, H. and Lu, D., (2007), Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis, United States, Urban Ecosyst, 10:203–219.
Yanli, Y., Jabbar, M.T., Zhou, J.X., (2012). Study of Environmental Change Detection Using Remote Sensing and GIS Application: A Case Study of Northern Shaanxi Province, China. Polish Journal of Environmental Studies, 21(3), 783-790.
Zeng L, Wardlow BD, Tadesse T, Shan J, Hayes MJ, Li D and Xiang D. (2015). Estimation of Daily Air Temperature Based on MODIS Land Surface Temperature Products over the Corn Belt in the US, Remote Sens. 2015, 7, 951-970; doi:10.3390/rs70100951.
ZHao, z. Kaiguang RT B. Jackson, (2014), Biophysical forcings of land-use changes from potential forestry activities in North America, Ecological Monographs, 84(2), 329–353.