بررسی روند تغییرات کاربری اراضی کشاورزی شهرستان شهریار با استفاده از سنجش از راه دور وGIS

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه برنامه‌ریزی و مدیریت و آموزش محیط‌ زیست، پردیس بین‌الملل کیش، دانشگاه تهران، تهران، ایران.

2 گروه علوم و مهندسی محیط‌ زیست، دانشکدة منابع طبیعی و محیط‌ زیست، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران.

10.22059/jne.2023.354658.2522

چکیده

زمین‌های کشاورزی منابع ارزشمند و محدودی هستند، بنابراین اهمیت حفظ و نگهداری از این‌ گونه اراضی به‌دلیل اهمیت محصولات کشاورزی، از نظر اقتصادی و برطرف کردن نیازهای معیشتی جمعیت، امری طبیعی و ضروری است. در این راستا، از مهم‌ترین چالش‌های قرن اخیر در زمینة اراضی کشاورزی، تغییرات کاربری اراضی مولد کشاورزی می‌باشد که افزون بر مشکلات ‌محیط‌زیستی متعدد از جمله تخریب خاک‌های حاصلخیز، پوشش گیاهی و کاهش تنوع جانوری را به‌دنبال دارد. امروزه با هدف برنامه‌ریزی متناسب و اجرای موفق برنامه‌ها، نیازمند اطلاعات صحیح، دقیق و به‌روز از نسبت کاربری‌های اراضی و سیمای سرزمین هستند، بنابراین فناوری سنجش ‌از دور به‌دلیل داشتن دید فضایی و یکپارچه از منطقه و سیستم اطلاعات جغرافیایی به‌دلیل داشتن قابلیت تجزیه ‌و تحلیل، مدل‌سازی و تهیة نقشه‌های کاربری می‌توانند در این راستا کارآمد باشند. بدین‌منظور هدف این پژوهش، بررسی روند تغییرات و دگرگونی اراضی کشاورزی شهرستان شهریار در 30 سال گذشته با استفاده از تکنیک سنجش ‌از دور و GIS می‌باشد. در این پژوهش، به‌منظور تجزیه‌ و تحلیل اطلاعات و تهیة نقشة کاربری اراضی کشاورزی از تصاویر ماهواره‌ای لندست و سنجنده‌های TM-ETM-TIRS در سال‌های 1989 تا 2022 (4 دوره) استفاده‌ شد. نتایج نشان داد که اراضی باغی در 30 سال اخیر کاهش زیاد و اراضی زراعت آبی-دیمی و کشاورزی و همچنین زمین‌های کشاورزی افزایش داشته‌اند و تجزیه ‌و تحلیل پوشش گیاهی با استفاده از شاخص NDVI روند کاهش پوشش گیاهی در سال‌های مورد مطالعه را نشان داد. همچنین الگوی تغییرات اقلیمی، کاهش بارش و افزایش دمای سطح اراضی کشاورزی در 30 سال اخیر را نشان داد که کشاورزان را برای انجام فعالیت زراعی و کشاورزی با کمبود و کاهش آب و عدم تمایل به فعالیت روبه‌رو کرده است. با توجه به یافته‌ها، آنچه مشهود است، روند تغییرات اقلیمی از قبیل افزایش دما و کاهش بارش و تغییرات اراضی کشاورزی به یک چالش جدی و نگران‌کننده در این شهرستان تبدیل ‌شده که نیازمند پیاده‌سازی و ارائة راهکارها و سیاست‌های جدید به‌منظور توسعه و ترویج فعالیت‌های کشاورزی می‌باشد.

کلیدواژه‌ها

عنوان مقاله [English]

Studying the process of agricultural land use changes in Shahriar twonship using remote sensing and GIS

نویسندگان [English]

  • Amir Memarzadeh Kiani 1
  • Farzad Daneshvar Fatah 2

1 Department of Environmental planning, Management and Education, Kish International Campus, University of Tehran, Tehran, Iran..

2 Department of Environmental Sciences and Engineering, Faculty of Natural Resources and Environment, Science and Research Unit, Islamic Azad University, Tehran, Iran.

چکیده [English]

Agricultural lands are valuable and limited resources so the importance of preserving and maintaining such lands is necessary due to the importance of agricultural products, economic aspect, and to meet the population's livelihood needs. In this regard, one of the most important challenges of the last century in the field of agricultural lands is the land use changes in the productive agricultural lands, which, in addition to numerous environmental problems, such as the destruction of fertile soils, vegetation, has the reduction of animal diversity. Today, with the aim of appropriate planning and successful implementation of programs, accurate and up-to-date information on the ratio of land uses and landscape of the field is needed, therefore, since remote sensing technology has a spatial and integrated view of the region and Geographic Information System has the analysis ability, modeling and preparation of land use maps can be effective in this regard. Therefore, the present research has conducted with the aim of studying the process of changes and transformation of agricultural lands in Shahryar county in the last 30 years using Remote Sensing technology (RS) and Geographic Information Systems (GIS). In this research, Landsat satellite images and sensors (TM-ETM-TIRS) were used in the years 1989 to 2022 (4 periods) to analyze the information and prepare the agricultural land use map. The results showed that garden lands have decreased a lot in the last 30 years, and irrigated agricultural lands have increased, and the analysis of vegetation using the NDVI index showed the decreasing of the vegetation during the study years. Moreover, the climate change pattern showed decrease in rainfall and increase in the surface temperature of agricultural lands in the last 30 years which has faced the farmers with water shortage and reduction and unwillingness to do agricultural activities. According to the findings, it is evident that the trend of climate change, such as increasing temperature and decreasing rainfall, and agricultural land changes, have become a serious and concerning problem in this county, and it requires the implementation and presentation of new solutions and policies in order to develop and promote agricultural activities.

کلیدواژه‌ها [English]

  • Agricultural land use
  • Changes monitoring
  • Map
  • Shahriar
Abd El-Kawy, O. R., Rød, J.K., Ismail, H.A., Suliman, A.S., 2011. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data. Applied geography 31(2), 483-494.
Adeli, M., Asadi, A., Kalantari, K., Barati, A.A., Khosravi, H., 2019. Investigating land-use changes in Jiroft plain in the present and future period with a look at agricultural land-use suitability. Iran's Natural Resources Journal 73(4), 893-913. (In Persian)
Aguirre-Gutiérrez, J., Seijmonsbergen, A.C., Duivenvoorden, J.F., 2012. Optimizing land cover classification accuracy for change detection, a combined pixel-based and object-based approach in a mountainous area in Mexico. Applied Geography 34, 29-37.
Amiri, R., Weng, Q., Alimohammadi, A., Alavipanah, S.K., 2009. Spatial–temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran 113)12), 2606-2617.
Arulbalaji, P., & Gurugnanam, B., 2014 Geospatial science for 16 years of variation in land use/land cover practice assessment around Salem district, south India. Journal of Geosciences and Geomatics 2(1), 17-20.
Atai Salut, K., Kikha, A.A., Ahmadpour, M., Ziai, S., Hossein Ali. F., 2018. Simulation of agricultural land use cover changes using multi-agent systems based on mathematical programming in Babolsar city. Agricultural Economics Research 11(4), 269-295. (In Persian)
Ayoubi, M., Shafiei, N., 2015. Monitoring land use changes and adapting its spatial structure (case study: rural settlements in Shahryar city). Master's thesis. Department of Human Geography. Faculty of Earth Sciences. Shahid Beheshti University. Tehran, Iran.
Carlson, T. N., & Sanchez Azofeifa, G.A., 1999. Satellite remote sensing of land use changes in and around San Jose, Costa Rica. Remote Sensing of Environment 70)3), 247-256.
Daneshmandparsa, R., Mirzaei, R., 2015. Monitoring urban development and agricultural use in Shahrekord using remote sensing and (2008-2015) GIS. The 23rd National Geomatics Conference, Iran, Tehran.
Ghalehteimouri, K.J., Shamsoddini, A., Mousavi, M.N., Ros, F.B.C., Khedmatzadeh, A., 2022. Predicting spatial and decadal of land use and land cover change using integrated cellular automata Markov chain model based scenarios (2019–2049) Zarriné-Rūd River Basin in Iran. Environmental Challenges 6, 100399.
Haque, M.I., Basak, R., 2017. Land cover change detection using GIS and remote sensing techniques: A spatio-temporal study on Tanguar Haor, Sunamganj, Bangladesh. The Egyptian Journal of Remote Sensing and Space Science 20(2), 251-263.
Hedayati, A., Vahidnia, M.H., Behzadi, S., 2022. Paddy lands detection using Landsat-8 satellite images and object-based classification in Rasht city, Iran. The Egyptian Journal of Remote Sensing and Space Science 25(1), 73-84.
Islam, K., Jashimuddin, M., Nath, B., Nath, T.K., 2018. Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. The Egyptian Journal of Remote Sensing and Space Science 21(1), 37-47.
Ismailnejad, R., Zainalzadeh, K., 2018. Evaluation of land use changes using remote sensing and geographic information system in Nazlochai sub basin. Journal of Soil Management and Sustainable Production 9(4), 159-172. (In Persian)
Ismailzadeh, M., Shahrokhi Sh., 2016. The impact of city expansion on agricultural lands. Third National Conference on Urbanism, Architecture, Civil and Environmental, Iran, Shirvan. (In Persian)
Kaiser, M.F., 2009. Environmental changes, remote sensing, and infrastructure development: The case of Egypt's East Port Said harbour. Applied Geography 29(2), 280-288.
Khorasanian, M., Nazarian, A.A., 2016. The Study of the Changes in the City of Tehran and its Impact on Land Use Change in the Villages (Case Study: Land Use Change in Agriculture and Gardens of Islamshahr). Journal of Research in New Attitudes Human Geography 9(1), 153-168. (In Persian)
Li, L., Zhu, A., Huang, L., Wang, Q., Chen, Y., Ooi, M.C.G., Wang, M., Wang, Y., Chan, A., 2022. Modeling the impacts of land use/land cover change on meteorology and air quality during 2000–2018 in the Yangtze River Delta region, China. Science of the Total Environment 829, 154669. 
Mensah, A.A., Sarfo, D.A., Partey, S.T., 2019. Assessment of vegetation dynamics using remote sensing and GIS: A case of Bosomtwe Range Forest Reserve, Ghana. The Egyptian Journal of Remote Sensing and Space Science 22(2), 145-154.
Motamedi, S., Karimi, F., Tarahi, A.A., Javid, L., 2014. Investigating the effects of the construction of Gatund Dam on the changes in the surface area and land use using remote sensing, the first national conference on geospatial information technology engineering, Iran, Tehran. (In Persian)
Pourmohammadi, M. R., Mozni, M., Hadili, B., 2018. Assessment and analysis of physical development and land use changes on Parsabad moghan city by using of Remote sensing data. Journal of Studies Of Human Settlements Planning 13(42), 37-51. (In Persian)
  Prakasam, C., 2010. Land use and land cover change detection through remote sensing approach: A case study of Kodaikanal taluk, Tamil nadu. International journal of Geomatics and Geosciences 1(2), 150.
Rahdari, V., Sufianian, A., Molki, S., 2016. Land use/cover mapping usig satellite data and geographic information system (GIS) (Case study: Mouteh wild life sanctuary). Journal of environmental Science and Technology 18 (1), 79-89. (In Persian)
Rajeshwari, A., 2014. Estimation of land surface temperature of dindigul district using landsat 8 data. International journal of Research in Engineering and Technology 3(5), 122-126.
Rawat, J.S., Kumar, M., 2015. Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science 18(1), 77-84.
Sadeghlu, T., Sejasi, H., Hosseini, S., Yazdani, K., 2018. Key factors of agricultural land use change and its effects on rural areas, case: Mianjam village in Torbat Jam city. Journal of Spatial economy and rural development 8(2), 45-72. (In Persian)
Safaripour, M., Naseri, D., 2019. Monitoring land cover changes using remote sensing and geographic information system (case study: Khojin Khalkhal watershed). Environmental Science and Technology 3, 381-393. (In Persian)
Sharifi, M., Hayati, M., Pishbahar, B., Dashti, I., 2019. Factors affecting agricultural land use change in Dezful city. Agricultural economics research 12(45), 25-45. (In Persian)
Sunar, F., 1998. An analysis of changes in a multi-date data set: a case study in the Ikitell area, Istanbul, Turkey. International Journal of Remote Sensing 19, 225-235.
Thapa, R., Neupane, B., Ranabhat, S., Poudel, M., Panthi, S., 2022. Habitat suitability of wild water buffalo (Bubalus arnee) in Babai flood plain of Bardia National Park, Nepal. Global Ecology and Conservation 23, e01172.
Yuan, F., Sawaya K.E., Loeffelholz, B.C. Bauer, M.E., 2005. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing. Remote Sensing of Environment 98(2-3), 317-328.
Zandsalimi, Z., Sima, S., Mosivand, A.J., 2022. Evaluation of the performance of global land cover maps in deriving agricultural land area (case study: Lake Urmia catchment). Iran Water and Soil Research 3, 795-810. (In Persian)