تحقیقات مرتع و بیابان ایران

همکاری با انجمن علمی مدیریت و کنترل مناطق بیابانی ایران

شماره جاری

بر اساس شماره‌های نشریه

بر اساس نویسندگان

نمایه نویسندگان

نمایه کلیدواژه ها

درباره نشریه

اهداف و چشم انداز

اعضای هیات تحریریه

اصول اخلاقی انتشار مقاله

بانک ها و نمایه نامه ها

پیوندهای مفید

پرسش‌های متداول

فرایند پذیرش مقالات

اطلاعات آماری نشریه

اخبار و اعلانات

راهنمای نویسندگان

فرم های ضروری

داوران برگزیده

راهنمای داوران

داوران همکار

ارزیابی تغییرات کاربری اراضی استان اردبیل با استفاده از پردازش تصاویر ماهواره‌ای

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکترای علوم مرتع، گروه منابع طبیعی، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، ایران

2 استاد، گروه منابع طبیعی ، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، ایران

3 دانشیار، گروه علوم گیاهی و گیاهان دارویی، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، ایران

4 دانش‌آموخته دکترای علوم مرتع، گروه منابع طبیعی، دانشکده کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، ایران

چکیده

با ارزیابی تغییرات کاربری و پوشش اراضی، امکان برنامه‌ریزی و مدیریت اراضی برای کاهش اثر تغییر و تخریب بهره‌برداری‌ها امکان‌پذیر است. هدف این پژوهش، ارزیابی تغییرات کاربری اراضی استان اردبیل بین سال‌های 1366 تا 1394 با استفاده از تصاویر ماهواره سنجندهThematic Mapper  (TM) لندست 5 و تصاویر ماهواره سنجنده Operational Land Imager (OLI) لندست 8 بوده است. ابتدا کارایی روش طبقه‌بندی شیءگرا با استفاده از نقاط کنترل زمینی، تشکیل ماتریس خطا و مقایسه مؤلفه‌های صحت و ضریب کاپا برای نقشه‌های حاصل ارزیابی شد. صحت کل و ضریب کاپا برای سال 1366 به‌ترتیب برابر 3/82% و 70/0 و سال 1394 به‌ترتیب برابر با 94% و 90/0 محاسبه شد. نتایج آشکارسازی تغییرات نشان داد که در بین سال‌های 1366 تا 1394 سطح مراتع 2/4% برابر 3/75039 هکتار و جنگل‌ها 5/0% برابر 7/9393 هکتار نسبت به سطح کل استان اردبیل کاهش و زراعت آبی 1/3% برابر 8/55276 هکتار، مناطق مسکونی 8/0% برابر 7/14989 هکتار و زراعت دیم 7/0% برابر 4/12632 هکتار نسبت به سطح کل استان، افزایش یافته‌اند. عمده‌ترین تغییراتی که در بازه زمانی مورد مطالعه در منطقه رخ ‌داده است، تبدیل مراتع به دیمزار برابر با 8/13% در حدود 2/141794 هکتار و اراضی کشت آبی 8/4% برابر 9/49836 هکتار از مراتع، تبدیل زراعت آبی به دیم برابر با 7/7% در حدود 8/11464 هکتار و تبدیل جنگل به مرتع برابر با 1/6% در حدود 9/1059 هکتار است که بیانگر ضرورت جدی بازنگری در سیاست‌های مدیریتی است.

کلیدواژه‌ها

عنوان مقاله [English]

Evaluation of land use changes in Ardabil province using satellite image processing

نویسندگان [English]

  • Azad Kakehmami 1
  • Ardavan Ghorbani 2
  • Mehdi Moameri 3
  • Sahar Ghafari 4

1 PhD Student of Rangeland Science, Department of Natural Resources, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili

2 Associate professorProfessor, Department of Natural Resources, Water Management Research Center, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili

3 Associate Professor, Department of Plant Sciences and Medicinal Plants, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili

4 PhD Graduated of Rangeland Science, Department of Natural Resources, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili

چکیده [English]

By evaluating land use change and land cover, it is possible to plan and land manage to reduce the impact of alteration and degradation of exploitations. The purpose of this study was to evaluate land use changes in Ardabil province between 1987 and 2015 using Thematic Mapper (TM) sensor of Landsat 5 and Operational Land Imager (OLI) sensor of Landsat 8 satellite images. Firstly, the efficiency of the object-based classification method was evaluated using ground control points, error matrix, and comparing total accuracy and kappa coefficients for the resulting maps. Total accuracy and Kappa coefficients for 1987 were 82.3% and 0.70, and 2015 were 94% and 0.90, respectively. Change detection results showed that from 1987 to 2015, rangelands decreased by 4.2%, equivalent to 75039.3 hectares and forests decreased by 0.5%, equivalent to 9393.7 hectares compared to the total province area and irrigation farming increased by 3.1%, equivalent to 55276.8 hectares, residential areas increased by 0.8%, equivalent to 14989.7 hectares and dry farming increased by 0.7%, equivalent to 12632.4 hectares compared to the total province area. The most significant changes that occurred from 1987 to 2015 were the conversion of rangelands to dry farming with 13.8%, equivalent to 141794.2 hectares and irrigation farming lands with 4.8%, equivalent to 49836.9 hectares of rangelands, irrigation farming to dry farming with 7.7%, equivalent to 11464.8 hectares and forests to rangelands with 6.1%, equivalent to 1059.9 hectares which indicate that the requirement of a serious revision of the management policies.

کلیدواژه‌ها [English]

  • Ardabil province
  • temporal land use changes
  • satellite images
  • object-based
مراجع
Ahadnejad, M., Maruyama, Y. and Yamazaki, F., 2009. Evaluation and forecast of human impacts based on land use changes using multi-temporal satellite imagery and GIS: A case study on Zanjan, Iran. Journal of the Indian Society of Remote Sensing, 37(4): 659-669.
Ahani, H., Ghorbani, A., Rastegar Moghadam, M., Falah Shamsi, S. R. and Baghernejad, M., 2009. Land use change detection using satellite imagery in Tangeh-Sorkh watershed of Shiraz. Iranian Journal of Agricultural Science & Natural Resources, 16(2): 242-252.
Ardabil Meteorological Organization. 2015. http://www.ardebilmet.ir
Aslami, F. and Ghorbani, A., 2018. Object-based land-use/land-cover change detection using Landsat imagery: a case study of Ardabil, Namin, and Nir counties in northwest Iran. Journal of Environmental Monitoring and Assessment, 190(7): 376 (1-14). https://doi.org/10.1007/s10661-018-6751-y  
Barati Ghahfarokhi, S., Soltani, S., Khajeddin, S.J. and Rayegani, B., 2009. Investigation of land use changes in Qale Shahrokh basin using remote sensing (1975 - 2002). Iranian Journal of Water and Soil Science, 13(47): 349- 365.
Du, Y., Wu, D., Liang, F. and Li, C., 2013, Integration of case-based reasoning and object-based image classification to classify SPOT images: a case study of aquaculture land use mapping in coastal areas of Guangdong province, China. Journal of GIS Science and Remote Sensing, 50(5): 574-589.
Elagouz, M. H., Abou-Shleel, S. M., Belal, A. A. and El-Mohandes, M.A.O., 2019. Detection of land use/cover change in Egyptian Nile Delta using remote sensing. The Egyptian Journal of Remote Sensing and Space Science. 23(1): 57-62.   https://doi.org/10.1016/j.ejrs.2018.10.004
ERDAS Field Guide. 2003. ERDAS Imagine 8.7. Leica Geosystems GIS and Mapping LLC. Seventh Edition, 698p.
Fan, C., Myint, S.W., Rey, S.J. and Li, W., 2017. Time series evaluation of landscape dynamics using annual Landsat imagery and spatial statistical modeling: Evidence from the Phoenix metropolitan region. International Journal of Applied Earth Observation and Geoinformation, 58: 12-25.
Ganasri, B. and Dwarakish, G., 2015. Study of land use/land cover dynamics through classification algorithms for Harangi catchment area, Karnataka State, India. Journal of Aquatic Procedia, 4: 1413-1420.
Ghafari, S., Ghorbani, A., Moameri, M., Mostafazadeh, R. and Bidarlord, M., 2018. Composition and structure of species along altitude gradient in Moghan-Sabalan rangelands, Iran. Journal of Mountain Science, 15(6): 1209-1228.
Ghafari, S., Ghorbani, A., Moameri, M., Mostafazadeh, R., Bidarlord, M. and Kakehmami, A., 2020. Diversity and distribution pattern of plant communities along altitudinal gradient of Moghan-Sabalan rangelands, Ardabil, Iran. Mountain Research and Development, 40(1): 33-47.
Ghafari, S., Ghorbani, A., Arjmand, K., Teymorzadeh, A., Hashemi Majd, K., Jafari, S. and Dabiri, R., 2017. Effect of grazing intensity on vegetation and soil physiochemical properties (case study: in rangelands of Kolash village, Parsabad, Ardabil province). Iranian Journal of Plant Ecosystem Conservation, 10:183–204.
Ghorbani, A., Bruce, D. and Tiver, F. 2006. Stratification: a problem in rangeland monitoring. In proceeding of the 1st International Conference on Object-based Image Analysis (OBIA), Salzburg, Austria.
Ghorbani, A., Kakehmami, A. and Kavianpour, H., 2011. Change detection of urban areas in the Ardabil province during the last 5 decades using aerial photography and Landsat images. 32nd Asian Conference on Remote Sensing, Taipei, Taiwan.
Heydarian, P., Rangzan, K., Maleki, S. and Taghizadeh., A., 2014. Land use change detection using post classification comparison LandSat satellite images (Case study: land of Tehran). Iranian Journal of RS and GIS for Natural Resources. 4 (4): 1-10.
Heidarizadi, Z. and Mohammadian Behbahani, A., 2019. Performance comparison of Geomod and LCM models to predict land use changes (case study: Abughovair plain, Ilam province). Iranian Journal of Rangeland and Desert Research, 26(3): 660-674.
Howarth, P. J. and Wickware, G. M., 1981. Procedures for change detection using Landsat digital data. International Journal of Remote Sensing, 2(3): 277–291.
Jensen, J. R., 1996. Introductory Digital Image Processing: a Remote Sensing Perspective. 2nd edn. Prentice Hall, Saddle River, NJ, 544p.
Jensen, J.R., 2005. Introductory Digital Image Processing: A Remote Sensing Perspective. NJ: Prentice-Hall. Englewood Cliffs, USA, 318p.
Kakeh Mami, A., Ghorbani, A., Kayvan Behjoo, F. and Mirzaei Mosivand A., 2017. Comparison of visual and digital interpretation methods of land use/cover mapping in Ardabil province. Iranian Journal of RS and GIS for Natural Resources. 8(3): 121-134.
Khanamani, A., Fathizad, H. and Hakimzadeh, M., 2019. Evaluating the trend of land use change using remote sensing techniques and object-oriented classification algorithm (Case study: Bartash Plain in Dehloran, Ilam). Iranian Journal of Rangeland and Desert Research, 25(4): 723-734.
Kianisalmi, E. and Ebrahimi, A., 2018. Evaluation of change detection and future condition of meadow-land ecosystem of Shahrekord using Landsat data. Iranian Journal of Watershed Management Research, 71(2): 473-487.
Lu, D., Li, G., Moran, E., Freitas, C., Dutra, L. and Sant’Anna, S., 2014. A comparison of maximum likelihood classifier and object-based method based on multiple sensor datasets for land-use/cover classification in the Brazilian Amazon. Proceedings of 4th Geographic Object-Based Image Analysis, Rio de Janeiro, Brazil. 7-9 May.
Lu, D., Mausel, P., Brondizio, E. and Moran, E., 2004. Change detection techniques. International Journal of Remote Sensing, 25(12): 2365–2407.
Mirzaei Mossivand, A., Ghorbani, A. and Keivan Behjou, F., 2018. Land use/cover change detection using Landsat and IRS imagery: A case study, Khalkhal County. Iranian Journal of Geographic Space. 60(17): 101-116.
Mobin, A., 2017. Satellite image based study for land use land cover changed due to mining activity during (1987 to 2011) at Dhanbad District of Jharkhand. International Journal for Scientific and Development, 4(12): 962-965.
Mombeni, M., Nasrollahi, M., Karimi, K. and Ara, H., 2018. Investigation and comparison of the maximum likelihood and fuzzy Artmap methods in preparing and monitoring land use changes (case study: Omidiyeh, Khuzestan province). Iranian Journal of Rangeland and Desert Research, 25(2): 248-262.
Msofe, N.K., Sheng, L. and Lyimo, J., 2019. Land use change trends and their driving forces in the Kilombero Valley Floodplain, Southeastern Tanzania. Journal of Sustainability, 11(2): 1-25.
Nabizadeh, S., Ebrahimi, A., Aghababaei, M. and Rahimi, I., 2019. Monitoring and predicting of land use changes in Farsan Watershed Using LCM. Iranian Journal of Range and Watershed Management, 72(1): 263-278.
National Cartographic Center, Iran. 2015.
Nobaharan, K., Mahmodi, S.H. and Abtahi, S.A., 2019. Land use management change in Marvdasht plain - Fars Province. Iranian Journal of Water and Soil Resources Conservation, 8(3): 67-84.
Ruiz-Luna A. R. and Berlanga-Robles, C. A., 2003. Land use, land cover changes and coastal lagoon surface reduction associated with urban growth in northwest Mexico. Journal of Landscape Ecology, 18(2): 159-171.
Sabzghabaei, G. R., Jafarzadeh, K., Dashti, S. S., Yousefi, K. S. and BAzmara, B. M., 2017. Land use change detection using remote sensing and GIS (Case study: Qhaemshahr city). Iranian Journal of Environmental Science and Technology, 19(3): 143-157.
Shanani Hoveyzeh, S. M. and Zarei, H., 2015. Investigation of land use changes during the past two last decades (Case Study: Abolabas Basin). Iranian Journal of Watershed Management Research, 14: 234-244.
Sharifi, J., Rostami Kia, Y., Azimi, F. and Ashoori, P., 2017. Ecological Regions of Iran Vegetation Types of Ardabil Province. Tehran, Iran: Research Institute of Forests and Rangelands Press.
Singh, S. and Rai, P. K., 2016. Application of earth observation data for estimation of changes in land trajectories in varanasi district, India. Journal of Landscape Ecology, 11(1): 5-18.
تحقیقات مرتع و بیابان ایران
دوره 28، شماره 3
مهر 1400
صفحه 537-550
فایل ها
هم رسانی
ارجاع به این مقاله
آمار