پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 41 |
| تعداد شمارهها | 1,138 |
| تعداد مقالات | 9,757 |
| تعداد مشاهده مقاله | 17,845,364 |
| تعداد دریافت فایل اصل مقاله | 12,462,974 |
پایش تحولات نظام کاربری و پوشش زمین با بهرهگیری از تصاویر ماهوارهای (مورد مطالعه: زیرحوضه آبریز کوهپایه-سگزی در ایران مرکزی) | ||
| برنامه ریزی توسعه کالبدی | ||
| مقاله 3، دوره 11، شماره 2، شهریور 1403، صفحه 33-52 اصل مقاله (2.32 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.30473/psp.2024.71571.2730 | ||
| نویسندگان | ||
| مصطفی طالشی1؛ شاه بختی رستمی2؛ بهروز قرنی آرانی3؛ امان اله طارمی* 4 | ||
| 1استاد گروه جغرافیا، دانشگاه پیام نور، تهران، ایران | ||
| 2دانشیار گروه جغرافیا، دانشگاه پیام نور، تهران، ایران | ||
| 3استادیار گروه جغرافیا، دانشگاه پیام نور، تهران، ایران | ||
| 4دانشجوی دکتری گروه جغرافیا، دانشگاه پیام نور، تهران، ایران | ||
| چکیده | ||
| زمین بستر تمامی فعالیتهای انسان و یکی از نهادهای اثربخش در نظامهای تولید و دستیابی به پایداری توسعه بهشمار میرود. از سوی دیگر با بروز تحولات اجتماعی و اقتصادی در جوامع انسانی و بهرهبرداری نامتعارف از منابع، شرایط ناپایداری زمین تشدید مییابد. سنجش تحولات بهرهبرداری از زمین با موضوعاتی همچون نظام کاربری زمین و پوشش اراضی و الگوهای پایش همراه است. الگوهای کاربری زمین و پوشش اراضی، با فراهمسازی پایش و شناخت روند تحولات نظام بهرهبرداری از طریق بکارگیری فنون سنجش از دور، امکان اصلاح و تغییر سیاستگذاری، مدیریت مطلوب و آیندهنگاری منابع محیطی را تسهیل مینماید. هدف این پژوهش، پایش تحولات نظام LULC در زیرحوضه آبریز کوهپایه-سگزی با بهرهگیری از تصاویر ماهوارهای در دوره زمانی 2000 الی 2023 میلادی (1379-1402 خورشیدی) و بهروزرسانی اطلاعات مکانی است. نتایج ارزیابی نقشههای نظام کاربری و پوشش اراضی با بهرهگیری از الگوریتم درخت تصمیمگیری نشانگر افزایش وسعت بیش از 97 درصد اراضی ساختهشده، 173 درصد اراضی مرتع، 230 درصد عرصههای آبی، 72 درصد اراضی کشاورزی و کاهش وسعت بیش از 14 درصد از اراضی بایر است. البته 913 هکتار از اراضی بایر، 244 هکتار از اراضی مرتع، 44 هکتار از اراضی کشاورزی و 155/0 هکتار از عرصههای آبی به اراضی ساختهشده تغییر یافته است. پایداری منابع محیطی بهویژه کاهش روند تغییر کاربری و پوشش اراضی و تثبیت نظام بهرهبرداری مستلزم اعمال مدیریت مطلوب از منابع با بکارگیری الگوهای حفاظت از زمین با مشارکت و توانمندسازی جوامع محلی روستایی است. | ||
| کلیدواژهها | ||
| پایش؛ کاربری زمین؛ پوشش اراضی؛ زیر حوضه آبریز کوهپایه-سگزی؛ الگوریتم درخت تصمیمگیری؛ ایران مرکزی | ||
| عنوان مقاله [English] | ||
| Monitoring Changes in Land Use and Land Cover Using Satellite Imagery (Case Study: Kuhpayeh-Segzi Sub-basin in Central Iran) | ||
| نویسندگان [English] | ||
| Mostafa Taleshi1؛ Shahbakhti Rostami2؛ Behruz Gharani Arani3؛ Amanallah Taromi4 | ||
| 1Professor, Department of Geography, Payame Noor University, Tehran, Iran | ||
| 2Associate Professor, Department of Geography, Payame Noor University, Tehran, Iran | ||
| 3Assistant Professor, Department of Geography, Payame Noor University, Tehran, Iran | ||
| 4Ph.D. Student in Department of Geography, Payame Noor University, Tehran, Iran | ||
| چکیده [English] | ||
| 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. | ||
| کلیدواژهها [English] | ||
| Monitoring, Land Use, Land Cover, Kuhpayeh-Segzi Sub-basin, Decision Tree Algorithm, Central Iran | ||
| مراجع | ||
Ahmadian, R; & Abdolah. B. (2017). Introducing the land use classification methods in Regional Planning and presentation of an appropriate pattern for Iran. Journal of Urban Studies. 9(30), 35-47. (in Persian)Andareiani, S; Nikgoo, M. R; Rezaei Moghaddam, M. H; & Mokhtari. D. (2018). Analysis of Land Use Change Using Object Oriented and Markov Chains in the Zilberhay Basin in East Azarbaijan and West. Geography and Development. 16(53), 37-50. http://doi.org/10.22111/GDIJ.2018.4149 (in Persian)Barzegar, S; Nazari, A. H; & Riahi. F. (2023). Analysis of environmental sustainability in rural areas (Case study: central part of Behshahr city. Journal of Regional Planning. 12(47), 243-258. http://doi.org/10.30495/JZPM.2022.5375. (in Persian)Bao Thien, B.; & Thi Phoung, V. (2023). Assessing the impact of Land Use/ Land Cover changes on agricultural Land in the Red River Delta, Vitnam. Journal Vegetos.(37). http://doi.org/10.1007/s42535-023-00769-0. Bala, S.; & Nabi Dar, S. (2024). Dynamics of Land use, Land cover and its impact on Land surface temperature: a study of Faridabad District, India. Geo Journal, 30(89). http://doi.org/10.1007/s10708-024-11011-y. Bununu, Y. A.; Bello, A. & Ahmed, A. (2023). Land cover, Land use, Climate change and Food security. Sustainble Earth Reviews. (16): 1-16. http://doi.org/10.1186/s42055-023-00065-4. Bissag, B.; Yebdri, D. & Kessar, C. (2024). Spatiotemporal change analysis of LULC using remote sensing and CA-ANN approach in the Hodna basin, NE of Algeria. Journal Physics and Chemistry of the Earth. (133): 103535. https://doi.org/10.1016/j.pce.2023.103535. Chen Guang, X.; & Anwar, A. (2012). Based on the Decision Tree Classification of Remote Sensing Image Classificaion Method Application. Applied Mechanics and Materials. (316-317): 193-196. http://doi.org/AMM.316-317.193. Doroudian H. R; & Doroudian A. (2018). Social and Ecological Impacts of Agricultural Land Use Change. Journal of land Management (Soil and Water sci.), 7. 81-97. https://doi.org/10.22092/lmj.2018.115849 (in persian) Eftekhari, A. R; Badri, S. A; & Sojasi Qeidari. H. (2014). Theoretical Foundations of Physical Planning of rural areas. Tehran, Islamic Revolution Housing Foundation. (in Persian) Ghadimi, S. A. R; Papzen, A. H; Amini. A. (2018). Investigating the process of agricultural land use change and its impact on the components of sustainable development (Case study: Zayandeh River Basin, Isfahan Province). Agricultural education and extension research quarterly, 3, 41-58. (in Persian) Gharani Arani, B; Taromi, A. A; & Norouzi. A. (2019). Investigating the Drivers of Rural Agricultural Land use Change to Villa Gardens: A Case Study of South Baraan and Kararaj Rural Districts in Isfahan County. Journal of Rural Research, 10(2), 294-309, http://doi.org/10.22059/jrur.2019.277593.1340. (in Persian) Ghose, M.K.; Pradhan, R. & Ghose, S.S. (2010).Decision Tree Classification of Remotely Sensed Satellite Data using Spectral Separability Matrix. International Journal of Advanced Computer Science and Applications (IJACSA). (1): 93-101. http://doi.org/10.14569/IJACSA.2010.010516. Haldar, S.; Mandal, S. Bhattacharya, S. & Paul, S. (2023). Dynamicity of Land Use/Land Cover (LULC) An analysis from peri-urban and rural neighbourhoods of Durgapur Municipal Corporation (DMC) in India. Regional Sustainability. (4): 150-172, https://doi.org/10.1016/j.regsus.2023.05.001. Hailu, T.; Assefa, E. & Zeleke, T. (2023).Land Use planning implementation and its effect on the ecosystem in Addis Ababa, Ethiopia. Journal Enviromental Challenges, (13): 1-19. http://doi.org/10.1016/j.envc.2023.100798. Hosseini, N; Afrakhteh, H; & Azizpour. F. (2022). Understanding Land Use Changes in Zebarkhan Rural Area Using Analysis of Satellite Images in ENVI Environment. Journal Physical Social Planning. 7(3), 15-32. https://doi.org/10.30473/psp.2022.57325.2424. (in Persian)Jalalian, H; Shoghi, M; & Azizpour. F. (2021). Spatial Congestion in Rural Areas around Tehran Metropolitan, Case Study: Roudbar Qasran. Journal Spatial Planning. 10(4), 86-112. http://doi.org/10.22108/SPPL.2020.120281.1453. (in Persian)Jalalian, H; Ziaian, P; Darouei, P; & Karimi. Kh. (2013). Analysis of urban creep and land use changes (Comparative studies of the cities of Urmia and Isfahan). Physical Space Planning Quarterly, 4, 73-98. (in Persian) Javaheri, S; & Torahi. A .A. (2021). Detection of land use changes using satellite imagery during the period 1984-2019 (Case study of Liang, J.; De tong, J. & Li, X. (2022). Planning control over rural land transformation in Hong Kong: A remote sensing analysis of spatio-temporal land use change patterns. Journal Land Use Policy. (119). http://doi.org/10.1016/j.landusepol.2022.106159. Mahdavi. M. (2018). An Introduction to Rural Geography in Iran. Tehran. Samt. (in Persian) Makhdoum, M. F; Darvishsefat, A. A; Jafarzadeh, H; & Makhdoum. A .F. (2011). Enviromental Evaluation and Planning by Geographic Information System. Tehran. University of Tehran Press. 6th Edition. (in Persian) Manafi Azar, R; & Jalalian. H. (2015). Space Economy. Tehran. Acadmic jahad. Kharazmi. (in Persian) Management and planning organization of Isfahan province. (2020). Statistical yearbook of Isfahan province 2019. First edition. Publication of the country's program and budget organization. (in Persian) McFeeters, S. K. (2013). Using the Normalized Difference Water Index (NDWI) within a Geogrphic Information System to Detect Swimming Pools for Mosquite Abbatment: A Practical Approach. Journal Remote Sensing. (5): 3544 - 3561. http://doi.org/10.3390/rs5073544. Mehrabi. A. (2019). Monitoring of vegetation changes (Pistachio gardens) using decision tree processing of multi-spectral satellite images, Case study: Anar city (Kerman province). Geography and Development. 17(56), 21-38. https://doi.org/10.22111/GDIJ.2019.4881 (in Persian)Meijerink, A.M.J.; Bnnert, D. Batelaan, O. Lubczynski, M.W. & Pointet, T. (2007). Remote Sensing Applications to Groundwater; Published in 2007 by the United Nations Educational. Scientific and Cultural Organization 7, Place de Fontenoy, 75352 Paris 07 SP (France), No (16). Ministry of Energy, Isfahan Regional Water Company. (2020). Statistical report on the sources and uses of surface and underground water in the study area of Koohpayeh-Segzi (4201). Published by Iran Water Resources Management Company, Ministry of Energy. (in Persian) Mohammadpour, P; Arjmandi, R; Hassani, A. H; & Ghodusi. J. (2022). Classification and Assessment of the land use changes using Landsat satellite imagery (Case Study: Rey Plain). Journal Environment and Human. 62, 279-297. (in Persian) Monkhouse, F.J. (2017). A Dictionary of Geography. Publishsed by Routledge. London and New York. 2nd ed. Library of congress Catalog Number:2007031522. ISBN 13: 978-0-202-36131-4 (pbk) Nazari, A. H; Rostami, Sh; Taleshi, M; & Khoran. M. (2021). The Role of Government Policies in Strengthening Urban-Rural Links and its Impact on Structural-Functional Developments in Rural Housing in Marivan Township. Journal of Physical Development Planning, 6, 29-50. http://doi.org/10.30473/PSP.2021.51152.2253 (in Persian) Otukei, J. R.; & Blaschke, T. (2010). Land Cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. International Journal of Applied Earth Observation and Geoinformation. (125): 27-31. http://doi.org/10.1016/j.jag.2009.11.002. Patel, A.; Vyas, D. Chaudhari, N. Patel, R. Patel, K. & Mehta, D. (2024). Novel approach for the LULC change detection using GIS & Google Earth Engine through spatiotemporal analysis to evaluate the urbanization growth of Ahmedabad city. Journal Results in Engineering. (21):101788. https://doi.org/10.1016/j.rineng.2024.101788. Pooja, A.P.; Hayanth, J. & Shivaprakash, K. (2011). Classification of RS data using Decision Tree Approach. International Journal of Computer Applications. (23): 0975 - 8887. Quoc Bao, P.; Sk Ajim, A. Farhana, P. Vo Van, O. Lariyah, M.S. Bojan, D. Vlado, C. Sanja, Š. & Nguyen Nguyet, M. (2024). Multi-Spectral remote sensing and GIS-based analysis fordecadal land use land cover changes and future predictionusing random forest tree and artificial neural network. Advances in Space Research. (74): 17-47, https://doi.org/10.1016/j.asr.2024.03.027. Rezvani, M. R. (2012). An Introduction to Rural Development Planning in Iran. Tehran.Ghoomes. (in Persian) Rudong, X.; Jin, L. & Jianhui, X. (2018). Extraction of High –Precicion Urban Impervious Surfaces from Sentinel-2 Multispectral Imagery via Modified Linear Spectral Mixture Analysis. Journal Sensors. (18): 1-15. http://doi.org/10.3390/s18092873. Sanjari, S; & Boroomand. N. (2013). Land use/cover change detection in last three decades using remote sensing technique (Case study: Zarand region, Kerman province). Journal of Applied RS & GIS Techniques in Natural Resource Science. 4(1), 57-67. http://isj.iup.ir/index.aspx?pid=95744&jid=186. (in Persian) Shakoori. A. (2014). Agricultural Development Policies in Iran. Tehran. Samt. (in Persian) Shanani Hoveyzeh, S. M; & Zarei. H. (2015). Investigation of Land Use Changes During the Past Two Last Decades (Case Study: Abolabas Basin). Journal of Watershed Management Research. 7(14), 237-244. https://doi.org/10.29252/jwmr.7.14.244. (in Persian) Sharma, R.; Ghosh, A. & joshi, P. K. (2013). Decision tree approach for classification of remotely sensed satellite data using open source support. Journal of Earth System Sicence. (122): 1237-1247. https://doi.org/10.1007/s12040-013-0339-2. Shuyong, M.; Xingiel, Z. & Yulun, A. (2013). Remoe Sensing Image Classification Based on Decision Tree in the Karst Rocky Desertification Areas: A Case Study of Kaizuo Township. Journal of Earth System Scince. (122): 1237-1247. https://ideas.repec.org/a/ags/asagre/183274.html. Stankevich, S.; Levashenko, V. & Zaitseva, E. (2014). Multispectral Satellite Imagery Classificaiton using a Fuzzy Decision Tree. Journal Cammucations. (1): 109-113. http://doi.org/10.26552/com.C.2014.1.109-113 Soltani Moqadas, R; & Salahi Esfahani. G. (2016). Enviromental Planning in Rural Region. Tehran. Payame Noor University. (in Persian) Taleshi, M; & Rahimi Pour Sheikhani Nejad. M. A. (2018). Modeling sustainable allocation of land use in the rural areas of east Gilan. Space Economy and Rural Development Quarterly, 4,119-146. http://serd.khu.ac.ir/article-1-2962-fa.html (in Persian) Taleshi, M; Rostami, S.H; Aliakbari, E; & Vejdani. H. R. (2019). Explaining the Fundamental Eeffective Factors ofL Use Changes: A political Eecology Approach (Case Study: Hamedan County). Journal Physical Social Planning. 4(2), 95-110. https://doi.org/10.30473/psp.2019.6070. (in Persian)Tamirat, H.; Argaw, M. & Tekalign, M. (2023). Support vector machine based spatiotemporal land use land cover change analysis in a complex urban and rural landscape of Akaki River cathments, a suburb of Addis Ababa, Ethiopia. Journal Heliyon. (9). http://doi.org/10.1016/j.heliyon.2023. e22510. Tempfli, K.; Kerle, N. Huurneman, G.C. & Jansen, L.L.F. (2009). Principles of Remote Sensing. Published by the international institute for Geo-Information Science and Earth Observation (ITC). The Netherlands. Tilahun, Z.A.; Bizuneh, Y.K. & Mekonnen, A.G. (2024). A Spatio–temporal analysis of the magnitude and trend of Land Use / Land Cover changes in Gilgel Gibe Catchment, Southwest Ethopia. Journal Heliyon. (10): 1-21. http://doi.org/10.1016. j.heliyon.2024.e24416. Tohidimoghadam, A.; PourSaeed, A.R. Bijani, M. & Eshraghi Samani, R. (2023). Towards farmer’s livelihood resilience to climate change in Iran: A systematic review. Yao, X.; & Wo, D. (2023). Spatiotemporall change and Influencing Factors of Rural settlements in the Middle Reaches of the Yangtze River Region 1990-2020. Journal Land. (12): 1-23. http://doi.org/10.3390/Land12091741, 1-23. Zhou, Y.; Li, X. & Liu, Y. (2020). Land use change and driving factors in rural China during the period 1995-2015. Journal Land Use Policy. (99): 105048. http://doi.org/10.1016/j. | ||
|
آمار تعداد مشاهده مقاله: 316 تعداد دریافت فایل اصل مقاله: 22 |
||