مقایسه روش‌های مختلف تهیه نقشه کاربری/ پوشش اراضی با روش‌های رایج مطالعات منابع طبیعی (مطالعه موردی، حوزه آبخیز گردنه قوشچی ارومیه)
الموضوعات :
اردوان قربانی
1
,
آزاد کاکه ممی
2
,
محمود حسن پور
3
,
فرنوش اسلمی
4
,
سحر غفاری
5
,
آرش رئوفی ماسوله
6
1 - دانشیار گروه مرتع و آبخیزداری، دانشکده فناوری کشاورزی و منابع طبیعی، دانشگاه محقق اردبیلی، اردبیل، ایران
2 - دانش‌آموخته کارشناسی ارشد مرتعداری دانشگاه محقق اردبیلی
3 - دانش آموخته کارشناسی ارشد مرتعداری، گروه مرتع و آبخیزداری، دانشگاه محقق اردبیلی
4 - دانش آموخته کارشناسی ارشد سنجش از دور و GIS دانشگاه محقق اردبیلی
5 - دانشگاه محقق اردبیلی
6 - دانش آموخته کارشناسی منابع آب دانشگاه آزاد اراک
الکلمات المفتاحية: کاربری/ پوشش اراضی, تفسیر چشمی, شی پایه, Google Earth,
ملخص المقالة :
شرکت‌های خصوصی با عنوان مهندسین مشاور در مطالعات بخش منابع طبیعی، نقش بسیار مهمی را ایفا می‌کنند. نقشه کاربری اراضی به‌عنوان یکی از اطلاعات‌پایه تولیدشده در مطالعات توسط مهندسی مشاور است و صحت این اطلاعات بر نتیجه نهایی، هزینه‌های صرف شده در بخش منابع طبیعی و برنامه‌ریزی‌های آتی بسیار مؤثر است. هدف از این مطالعه، ارزیابی قابلیت تفسیر چشمی تصاویر موجود در Google Earth (GE) در مقایسه با نقشه تولیدشده توسط مهندسین مشاور و تفسیر رقومی شیءگرای تصاویر مورداستفاده نظیر لندست به‌عنوان روشی نوین و کم‌هزینه در تهیه نقشه‌های کاربری/ پوشش اراضی در مطالعات منابع طبیعی کشور است. برای این منظور نقشه کاربری/ پوشش اراضی تهیه‌شده توسط مهندسین مشاور (1386) و نقشه‌ی کاربری/ پوشش اراضی حاصل از پردازش شیءگرای تصویر سنجنده TM (1386) در محیط نرم‌افزار eCognition با نقشه کاربری/ پوشش اراضی تهیه شده در نرم‌افزار ArcGIS با استفاده از تفسیر چشمی تصاویر GE (1388) ازنظر صحت باهم مقایسه شدند. صحت کلی و ضریب کاپای نقشه تولیدی از GE به‌ترتیب 99 درصد و 99/0 و صحت کلی و ضریب کاپای نقشه کاربری/ پوشش اراضی تهیه‌شده توسط مشاور و شیءگرا به‌ترتیب 59 درصد، 32/0، 89 درصد و 86/0 برآورد گردید که نشان‌دهنده برتری تصاویر موجود در GE است. درمجموع نقشه تولیدشده از تصویر GE صحت بسیار مناسب و بهتری نسبت به دو نقشه دیگر داشت و نقشه تولیدشده توسط مهندسین مشاور با صحت غیرقابل‌قبول و ضریب کاپای پایین، غیرقابل استناد است.
Reference:
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13. KeshtAb Pazhohan Espota Consulting Engineering, 2011. Reports of detailed studies of Behestan Watershed Management (East Azerbaijan province), Department of Natural Resources and Watershed Management of East Azerbaijan, 54pp. (In Persian).
14. KeshtAb Pazhohan Espota Consulting Engineering, 2012. Report of detailed studies of Ghoro Chah Watershed Management (East Azerbaijan province), Department of Natural Resources and Watershed Management of East Azerbaijan, 47pp. (In Persian).
15. Lillesand, T. M., R.W. Kiefer, & J.W. Chipman, 2008. Remote Sensing and Image Interpretation, John Wiley & Sons, Inc., 6th Ed., 812pp.
16. Mohammad Hassanpour, M. 2013. Modeling site selection process for bunch planting on the area with rangeland capability using geographic information system in Qushchy Ghat (Uromieh) watershed, MSc. Thesis, The University of Mohaghegh Ardabili, 95pp. (In Persian).
17. Myint, S. W., P. Gober, A. Brazel, S. Grossman-Clarke, & Q. Weng, 2012. Per-pixel vs. object-based classification of urban land covers extraction using high spatial resolution imagery. Remote Sensing of Environment, 115: 1145–1161.
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20. Rafieian, A., E.A. Darvishsefat, & V.M. Namiranian, 2006. Evaluation the capability of Landsat 7 satellite images to map forest area (case study of Babol forest), Iranian Natural Resources Journal, 59(4): 843-852. (In Persian).
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23. Safianian, A. R., & L. Khodakarami, 2011. Land-use mapping using fuzzy logic (case study three sub-watershed Kabudarahang, Razan - Qahavand and Khvnjyn - Talkhab in Hamadan province), Journal of Land use planning, 4: 95-114. (In Persian).
24. Tapiador, F.J. & J.L. Casanova, 2003. Land use mapping methodology using remote sensing for the regional planning directives in Segovia, Spain Landscape and Urban Planning Journal, 62(2): 103-115.
25. TarhAbriz Consulting engineering, 2007a. Reports of detailed studies of Ghoshchi ghat Watershed Management (East Azerbaijan province), Department of Natural Resources and Watershed Management of East Azerbaijan, 105pp. (In Persian).
26. TarhAbriz Consulting engineering, 2007b. Reports of detailed studies of Kaftareh Watershed Management (Ardabil province), Department of Natural Resources and Watershed Management of Ardabil, 135pp. (In Persian).
27. Taylor, J. R., & S. Taylor Lovell, 2012. Mapping public and private spaces of urban agriculture in Chicago through the analysis of high-resolution aerial images in Google Earth, Landscape and Urban Planning, 108: 57– 70.
28. Walter, V., 2004. Object-based classification of remote sensing data for change detection, ISPRS Journal of Photogrammetry & Remote Sensing, 58: 225– 238.
29. Yang, X., G.M. Jiang, X. Luo, & Z. Zheng, 2012. Preliminary mapping of high-resolution rural population distribution based on imagery from Google Earth: A case study in the Lake Tai basin, eastern China, Applied Geography, 2: 221-227.
_||_Reference:
1. Baban, S. J., & M. Wan Yusof, 2001. Mapping land use/cover distribution on a mountainous tropical island using remote sensing and GIS, International Journal Remote Sensing, 22(10): 1909–1918.
2. Congalton, R.G., & K. Green, 1999. Assessing the accuracy of remotely sensed data: principles and practices, CRC Press, Boca Raton, Florida, 137p.
3. Dellepiane, S.G., & P.C. Smith, 1999. Quality assessment of image classification algorithms for land cover mapping: A review and a proposal for a cost based approach. International Journal Remote Sensing, 20: 1461-1486.
4. Dorais, A., & C. Cardille, 2011. Strategies for incorporating high-resolution Google Earth databases to guide and validate classifications: understanding deforestation in Borneo, Remote Sensing, 3: 1157-1176.
5. Feizizadeh, B., F. Jafari, & H. Nazmfar, 2008. Application of remote sensing satellite images in change detection of urban land uses, an object-based image analysis approach for green space area of Tabriz city, Journal of Fine arts, 34: 17-24. (In Persian).
6. Feizizadeh, B., & H. Helali, 2010. Comparison pixel-based, object-oriented methods and effective parameters in Classification Land cover/ land use of west province Azerbaijan, Journal of Physical Geography Research, 71: 73-84. (In Persian).
7. Ghorbani, A., D. Bruce, & F. Tiver, 2006. Stratification: a problem in rangeland monitoring. In proceeding of the first International Conference on Object-based Image Analysis (OBIA), July 4-5, Salzburg, Austria.
8. Ghorbani, A., A. Sattarian, & H. Elyasi Brojeni, 2007. Identification and analysis of ecological agriculture relationship with watershed management, in proceeding of the second Conference of Ecological Agriculture in Gorgan, 403-435. (In Persian).
9. Ghorbani, A. & M. Pakravan, 2013. Land use mapping using visual vs. digital image interpretation of TM and Google earth derived imagery in Shrivan-Darasi watershed (Northwest of Iran), European Journal of Experimental Biology, 3(1): 576-582.
10. Iranmanesh, F., A.H. Charkhabi, & N. Jalali, 2006. Measuring gully morphometric characteristics in the south east of Iran using digital processing of ETM+ sensor. Journal of Science and Technology of Agriculture and Natural Resources, Water and Soil Science, 10(1): 233-245. (In Persian).
11. Jaafari, Sh., & A.A. Nazarisamani, 2013. Comparison between land use/land cover mapping through Landsat and Google Earth imagery, American-Eurasian Journal of Agriculture & Environment Science, 13(6): 763-768.
12. Jansen L. J.M., & A. Di Gregorio, 2004. Obtaining land-use information from a remotely sensed land cover map: results from a case study in Lebanon, International Journal of Applied Earth Observation and Geoinformation, 5: 141–157.
13. KeshtAb Pazhohan Espota Consulting Engineering, 2011. Reports of detailed studies of Behestan Watershed Management (East Azerbaijan province), Department of Natural Resources and Watershed Management of East Azerbaijan, 54pp. (In Persian).
14. KeshtAb Pazhohan Espota Consulting Engineering, 2012. Report of detailed studies of Ghoro Chah Watershed Management (East Azerbaijan province), Department of Natural Resources and Watershed Management of East Azerbaijan, 47pp. (In Persian).
15. Lillesand, T. M., R.W. Kiefer, & J.W. Chipman, 2008. Remote Sensing and Image Interpretation, John Wiley & Sons, Inc., 6th Ed., 812pp.
16. Mohammad Hassanpour, M. 2013. Modeling site selection process for bunch planting on the area with rangeland capability using geographic information system in Qushchy Ghat (Uromieh) watershed, MSc. Thesis, The University of Mohaghegh Ardabili, 95pp. (In Persian).
17. Myint, S. W., P. Gober, A. Brazel, S. Grossman-Clarke, & Q. Weng, 2012. Per-pixel vs. object-based classification of urban land covers extraction using high spatial resolution imagery. Remote Sensing of Environment, 115: 1145–1161.
18. Nashtak Consulting Engineering, 2008. Reports of semi detailed studies of Zilbarchay Watershed Management (East Azerbaijan province), Department of Natural Resources and Watershed Management of East Azerbaijan, 185pp. (In Persian).
19. Pars Paiab Consulting Engineering, 2010. Reports of detailed studies of Amrabad Watershed Management (East Azerbaijan province), Department of Natural Resources and Watershed Management of East Azerbaijan, 63pp. (In Persian).
20. Rafieian, A., E.A. Darvishsefat, & V.M. Namiranian, 2006. Evaluation the capability of Landsat 7 satellite images to map forest area (case study of Babol forest), Iranian Natural Resources Journal, 59(4): 843-852. (In Persian).
21. Rasouli, A. A. 2008. Basics of applied remote sensing with emphasis on satellite image processing, 1st Ed. Tabriz University Press, Tabriz. 544pp. (In Persian).
23. Safianian, A. R., & L. Khodakarami, 2011. Land-use mapping using fuzzy logic (case study three sub-watershed Kabudarahang, Razan - Qahavand and Khvnjyn - Talkhab in Hamadan province), Journal of Land use planning, 4: 95-114. (In Persian).
24. Tapiador, F.J. & J.L. Casanova, 2003. Land use mapping methodology using remote sensing for the regional planning directives in Segovia, Spain Landscape and Urban Planning Journal, 62(2): 103-115.
25. TarhAbriz Consulting engineering, 2007a. Reports of detailed studies of Ghoshchi ghat Watershed Management (East Azerbaijan province), Department of Natural Resources and Watershed Management of East Azerbaijan, 105pp. (In Persian).
26. TarhAbriz Consulting engineering, 2007b. Reports of detailed studies of Kaftareh Watershed Management (Ardabil province), Department of Natural Resources and Watershed Management of Ardabil, 135pp. (In Persian).
27. Taylor, J. R., & S. Taylor Lovell, 2012. Mapping public and private spaces of urban agriculture in Chicago through the analysis of high-resolution aerial images in Google Earth, Landscape and Urban Planning, 108: 57– 70.
28. Walter, V., 2004. Object-based classification of remote sensing data for change detection, ISPRS Journal of Photogrammetry & Remote Sensing, 58: 225– 238.
29. Yang, X., G.M. Jiang, X. Luo, & Z. Zheng, 2012. Preliminary mapping of high-resolution rural population distribution based on imagery from Google Earth: A case study in the Lake Tai basin, eastern China, Applied Geography, 2: 221-227.
