بررسی روند تغییرات پوشش اراضی با استفاده از تکنیک سنجش از دور (مطالعه موردی، تحت واحد کتالان)
محورهای موضوعی : آمایش سرزمینمریم ناظمی جلال 1 , مرضیه علی خواه اصل 2 , الهام فروتن 3
1 - دانش آموخته مقطع کارشناسی ارشد محیط زیست (ارزیابی و آمایش سرزمین)، دانشگاه پیام نور، تهران، ایران.
2 - استادیار، گروه کشاورزی و منابع طبیعی، دانشگاه پیام نور، تهران، ايران.
3 - استادیار، گروه کشاورزی و منابع طبیعی، دانشگاه پیام نور، تهران، ایران.
کلید واژه: کتالان, سنجش از دور, طبقه¬بندی نظارت¬شده, پوشش اراضی.,
چکیده مقاله :
زمینه و هدف: استفاده و مدیریت بهینه یک سرزمین نیازمند اطلاعات بهنگام و درست می¬باشد. یکی از مهمترین منابع اطلاعاتی در مدیریت منابع طبیعی، نقشه¬های پوشش اراضی است. هدف از انجام این پژوهش، تهیه نقشه¬های پوشش اراضی منطقه کتالان برای بررسی تغییرات صورت گرفته طی 12 سال گذشته می¬باشد. روش بررسی: در انجام این تحقیق داده¬های ماهواره لندست سنجنده OLI سال 2013 و سنجنده ETM سال 2001 به¬کارگرفته شد و پس از انجام تصحیحات لازم بر روی تصاویر، از GPS و نقشه¬های توپوگرافی به منظور بازدید صحرایی منطقه و برداشت نقاط تعلیمی، استفاده شده ¬است. نقشه¬های پوشش اراضی با استفاده از روش¬ طبقه¬بندی نظارت¬شده با الگوریتم حداکثر احتمال تهیه گردید. یافته¬ها: بر اساس نتایج به¬دست آمده، منطقه مورد مطالعه دارای 6 طبقه شامل: اراضی زراعی آبی، اراضی زراعی دیم، اراضی زراعی رها شده، رخنمون سنگی، مرتع و معدن می¬باشد. دقت کلی و ضریب کاپا برای نقشه پوشش اراضی سال 2013، به ترتیب برابر 11/86% و 82/0و برای سال 2001 به ترتیب برابر با 26/78% و 71/0 به¬دست آمد. بحث و نتیجه¬گیری: نتایج تحقیق نشان می¬دهد که اراضی زراعی آبي، اراضی رها شده و طبقه مرتع از سال 2001 نسبت به سال 2013 به ترتیب 84/1 % و 29/1 % و 21/1% افزایش سطح داشته¬¬است و کلاس اراضی زراعی دیم و برو¬¬ن¬زد سنگی به ترتیب 09/5 % و 62/0% کاهش یافته¬است. همچنین طبقه معدن در سال 2001 وجود نداشته و در سال 2013، 3939/49هکتار معادل 36/1 درصد از مساحت منطقه را به خود اختصاص داده¬¬است.
Background and Objective: Updated and correct information is necessary for using and optimized managing of a land. Land cover map is one of the most important information resources in natural resource management. The goal of this research is to provide Katalan land cover map for investigating land use changes during 12 years in this area. Material and Methodology: For this purpose, satellite images such as Landsat ETM 2001 and OLI 2013 were used after performing necessary corrections whereas; GPS and topographic maps were implemented for surveying fields and gathering trained samples. Land cover maps were provided using supervised classification method with maximum likelihood algorithm. Findings: The results of this study revealed that the study area comprises six classes viz. irrigated farm land, rainfed farm land, bare land, rock stone, range land and mine class. The overall accuracy and kappa coefficient for 2013 map were estimated 86.11% and 0.82, respectively and theses values for 2001 land use map were 78.26%, and 0.71, respectively. Discussion and Conclusions: The results of this research revealed that the class of farm land, bare land and range land were increased 1.84%, 1.29%, and 1.21%from 2001 to 2013, and the class of rock stone and rainfed farmland were decreased 5.09%, and 0 .62%, respectively. Also, there was not mine class in 2001 but this class was 1.36% equivalent to 49.3939 hectare of the whole area in 2013.
1. Bahraini, H, "Urban Design Process", Tehran, Tehran University Press, 2001. (In Persian)
2. Faizizadeh, B.,Salmani,S. Modeling the destruction of agricultural land due to urban growth and development by using object-based methods of processing satellite images in the urban area of Urmia. Land Journal planning, 2016, 8(2)-177-202. (In Persian)
3. Senjari, S., Broumand, N, Monitoring land use and land cover changes in the past three decades using remote sensing techniques, case study: Zarand Kerman, Journal of Remote Sensing and GIS Application in Natural Resources Sciences, 2013, 4(1),57-67pp. (In Persian)
4. Prakasam, C.,. 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, 2010. Volume 1. No2.
5. Philpott, D., 2011. A Guide to Federal Terms and Acronyms. Government Institutes, 196 pp.
6. Ahadnejad, M., 2002. Environmental land use Change detection and assessment using with multi-temporal satellite imagery (Case Study Marageh Region). Map Asi2002- Bangkok – Thailand.
7. Ahmadizadeh, S. "Determining Quantitative Ecological Models in GIS Environment", Doctoral Dissertation in Forestry, Tehran, Tarbiat Modares University, 2012; 158pp. (In Persian)
8. Zebardast, L et al., Evaluation of changes in the land cover of Arsbaran protected area during the period of 2002, 2006, 2008 using satellite images, Environmental Research, 2010, 1( 1), 23 – 33pp. (In Persian)
9. Arkhi, S. 2013. Evaluation of the effectiveness of the tree classification method for extracting land use maps using satellite data in Cham Gardlan area of Ilam province", Geography and Urban-Regional Survey. No. 4.17-26pp. (In Persian)
10. Haghighi, M, Investigation of the destruction of floodplain forests in West Gilan, Master's Thesis, 2012; Gilan, Gilan University of Natural Resources. (In Persian)
11. Bakhdari, J., Zare Mehr, M., Khosrowshahi, M, "Investigating the trend of land cover changes in the Esteghlal Minab Dam watershed using GIS and RS", Scientific Journal of Water and Soil Conservation, Soil Conservation and Watershed Research Institute, 2014, 1(2),59-64.pp. (In Persian)
12. Fatahi, M.M et al., "Comparison of methods of classification and preparation of land use maps of dry areas using satellite images", Construction Researches in Natural Resources, 2016, No. 76.129-135pp. (In Persian)
13. Shayan, Siavash et al., "Supervised classification of geomorphological landforms in arid regions using geomorphometric parameters, case study: Maranjab", Iran Remote Sensing and GIS, 2013, 4(2),19-28pp. (In Persian)
14. Abd El-Kawy, J.K. Rød, H.A. Ismail, A.S. Suliman,. 2011. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data, Applied Geograph, 31: 483-494PP.
15. Hashemi, Z., Sodaizadeh, H., Mokhtari, M.H., Hakimzadeh Ardakani, M.A., Kamali Aliabadi, K. 2022. Prediction and trend of land use and land cover changes using integrated Markov chain methods and automatic cells and land change modeler in Sistan plain. Remote sensing and geographic information system in natural resources
16. Lotfali Zadeh Lahroudi, A. 2023. Investigating the trend of land use changes using Landsat satellite images. Geography and Human Relationships.
17. Mughali, M. 2023. Modeling land use changes in Firouzabad using multi-temporal satellite images. Researches of human geography
18. Akbarzadeh, P., & Nikoo, S. 2022. The Investigation of the effects of the regional development in the form of change in land use on the groundwater aquifer level (a case study: Damghan watershed). Geography and Environmental Sustainability, 12(3), 1-21.
19. Selçuk Reis. 2008. Analyzing Land Use/Land Cover Changes Using Remote Sensing and GIS in Rize, North-East Turkey, Sensors, 8: 6188-6202.
20. Hu, Y., Raza, A., Syed, N. R., Acharki, S., Ray, R. L., Hussain, S., & Elbeltagi, A. 2023. Land Use/Land Cover Change Detection and NDVI Estimation in Pakistan’s Southern Punjab Province. Sustainability, 15(4), 3572.
21. Report of the Country's Forests and Ranges Organization, Vice President of Rangeland and Watershed Management, Habale Roud Project Office, 2014. (In Persian)
22. Lu, D., and Weng, Q. 2007. A survey of image classification methods and techniques for improving classification performance, International J. Remote Sensing, 28: 823-870.
23. Campbell, J.B. 2002. Introduction to remote sensing, Third edition, The Guilford Press, New York. USA, 621p.
24. ¬ Jensen, J.R. 2005. Introductory digital image processing: A remote sensing perspective. NJ: Prentice-Hall. Englewood Cliffs, USA, 318p.
25. Mather, P.M,. 2005. Computer processing of remotely-sensed images, Third Edition, John Wiley and Sons, Ltd, 319p.
26. Alavi Panah, K. 2012. Use of Remote Sensing in Earth Sciences (Soil Sciences), Tehran, Tehran University Press. (In Persian)
27. Liu, X.H., Skidmore, A.K. and Oosten, H.V. 2002. Integration of Classification Methods for Improvement of Land-cover Map Accuracy, ISPRS Journal of Photogrammetry & Remote Sensing, No.56, pp. 257-268.
28. Alavi Panah, K., Masoudi, M. 2008. preparation of land use map using digital data of Landsat satellite and geographic information system (case study: Mok region of Fars province), Journal of Agricultural Sciences and Natural Resources, 8 (1), 65-76pp. (In Persian)
29. ¬ Lu, D., Mausel, P., Brondi´zio, E. and Moran, E. 2004. Change detection techniques. INT. J. REMOTE SENSING, 20 JUNE, 2004, VOL. 25, NO. 12, 2365-2407.
30. Alavi Panah, K. 2014. Application of Remote Sensing in Earth Sciences, Tehran, Tehran University Press. (In Persian)
31. Bonyad, A.I., Haji Qadri,T. 2016. Preparation of natural forest map of Zanjan province using ETM sensor data of Landsat 7 satellite, Journal of Agricultural Sciences and Techniques and Natural Resources, No. 42 (11), 627 – 638pp. (In Persian)
32. Faizizadeh, B., Haji Mirrahimi M, 2017. Detecting Land Use Changes in Andisheh Town Using Object-Oriented Classification Method, 87th Geomatic Conference, Country Mapping Organization. 10pp. (In Persian)
33. Shirian, R. 2018. Preparation of vegetation map of Golestan National Park using geographic information system and Landsat satellite data, master's thesis, Gorgan, University of Agricultural Sciences and Natural Resources, Faculty of Pasture and Watershed Management. (In Persian)
34. Ghorbani, M, et al. 2019. Evaluation of Land Use Changes in Taleghan Watershed, 4th International Congress of Geographers of the Islamic World.7pp. (In Persian)
35. Faizizadeh, B., Haji Mirrahimi, M.2017. The use of remote sensing data in the extraction of land use maps, a case study: the eastern edge of Lake Urmia.10pp. (In Persian)
36. Ahani, H, et al. 2012. Evaluation of land use changes using satellite images, case study: Tang-Serkh Shiraz watershed, Journal of Agriculture and Natural Resources Sciences,16(2), 242-252 pp. (In Persian)
37. Latifi, H, et al. 2016. Evaluation of ETM satellite data capability to prepare a map of forest cover classes and shrub lands and pastures, case study: Neka-Zalem River area, Journal of Agricultural Sciences and Techniques and Natural Resources,11, (2),439-447pp. (In Persian)