| تعداد نشریات | 286 |
| تعداد نشریات سازمان | 84 |
| تعداد شماره‌ها | 3,028 |
| تعداد مقالات | 33,882 |
| تعداد مشاهده مقاله | 45,253,416 |
| تعداد دریافت فایل اصل مقاله | 60,282,195 |
ارزیابی تغییر کاربری زمین با سنجش ازدور در سه دوره‌ی زمانی در آبخیز آبشوران کرمانشاه | ||
| پژوهش های آبخیزداری | ||
| مقاله 4، دوره 34، شماره 2 - شماره پیاپی 131، تیر 1400، صفحه 32-47 اصل مقاله (925.78 K) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmej.2020.342650.1333 | ||
| نویسندگان | ||
| فرزانه وکیلی تجره1؛ علی سلاجقه* 2؛ علی اکبر نظری سامانی3؛ آرش ملکیان3؛ خسرو شهبازی4 | ||
| 1دانشجوی دکتری علوم و مهندسی آبخیز، دانشکده منابع طبیعی، دانشگاه تهران | ||
| 2استاد گروه علوم و مهندسی آبخیز، دانشکده منابع طبیعی، دانشگاه تهران | ||
| 3دانشیار گروه علوم و مهندسی آبخیز، دانشکده منابع طبیعی، دانشگاه تهران | ||
| 4استادیار مؤسسه تحقیقات جنگل ها و مراتع کشور، سازمان تحقیقات آموزش و ترویج کشاورزی، تهران، ایران | ||
| چکیده | ||
| یکی از چالش‌ها و موضوع‌های مهم در برنامه‌های آمایش سرزمین، رشد ساختاری شهرها در جهت‌های مختلف در گذر زمان است. تبدیل‌کردن آبخیز‌های برون‌‌شهری به شهری، منجر به پیداشدن چالش‌ها و دشواری‌های زیست‌محیطی در شهر شده است. مدیریت شهری نیازمند اطلاعات دقیق فضایی در زمانهای متوالی است. فن‌آوری سنجش‌ازدور ممکن است کمک مهمی به شناسایی و یافتن تغییر کاربری زمین‌ها کند. هدف این پژوهش آشکارساختن تغییر کاربری زمین‌ها با به‌کاربردن تصویرهای سال 1370 و 1380 سنجنده‌ی تی‌ام ماهواره‌ی لندست 5 و تصویرهای 1397 سنجنده‌ی او ال آی ماهواره‌ی لندست 8 در دوره‌ی زمانی 27 ساله در آبخیز آبشوران کرمانشاه است. پس از کارهای مرحله‌ی پیش‌پردازش، نقشه‌ی آشکارسازی تغییر با طبقه‌بندی نظارت‌شده در نرم‌افزار اِنوی 5.3 با دقت پذیرفتنی تهیه شد. نتیجه‌ها نشان می‌دهد که در سال‌های 1370 تا 1397 نزدیک به 1/17 % از زمین‌های مرتعی و کشاورزی کم شد، و مساحت زمین‌های شهری و مسکونی از 5/92 % به 17/19% از کل رسید. بیش‌ترین تغییر کاربری در زمین‌های شهری و مسکونی بود. این روی‌داد ممکن است با افزایش‌دادن سطح‌های نفوذ‌ناپذیر، علاوه بر اثرهای منفی بر منابع طبیعی، سبب افزایش‌یافتن آسیب‌های طبیعی مانند سیل شود. | ||
| کلیدواژه‌ها | ||
| تصویرهای ماهواره‌یی؛ تغییر کاربری زمین؛ سنجش‌ازدور؛ طبقه‌بندی نظارت‌شده؛ لندست | ||
| عنوان مقاله [English] | ||
| An Assessment of Land use Changes Employing the Remote Sensing Techniques during Three Temporal Periods on the Abshoran Watershed, Kermanshah | ||
| نویسندگان [English] | ||
| Farzaneh Vakili Tajareh1؛ Ali Salajegheh2؛ Ali Akbar Nazari Samani3؛ Arash Malekian3؛ Khosrow Shahbazi4 | ||
| 1Ph.D. Student in Watershed Science and Engineering, Faculty of Natural Resources, University of Tehran | ||
| 2Professor, Faculty of Natural Resources, University of Tehran | ||
| 3Associate Professor, Faculty of Natural Resources, University of Tehran | ||
| 4Assistant Professor, Desert Research Division, Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran | ||
| چکیده [English] | ||
| One of the important challenges and issues in land management programs is that of physical growth of cities in different directions over time. The transformation of non-urban watersheds into urban ones has led to some environmental challenges and problems. An overall management plan needs accurate spatial information at consecutive times. Remote sensing technology offers great help in identifying and detecting land use changes. The aim of this study was to detect land use changes using images collected from 1991 and 2001 Landsat 5 satellite¢s TM sensor and 2018 images provided by the Landsat 8 satellite¢s OLI sensor over a period of 27 years on Abshuran Watershed, the Kermanshah. Following the required procedures in the preprocessing stage, a change detection map was prepared with an acceptable accuracy with supervised classification in the ENVI5.3 software environment. The results indicated that during the 2001-2018 periods, about 1.17 % of the share of the rangeland and farmland decreased and that the urban and residential lands increased from 5.92 % to 17.19 % of the total area. Most of the land use change has occurred in the urban and residential areas, thus an increase in the impermeable areas causes an increase in natural disasters such as flooding in addition to some negative effects on natural resources. | ||
| کلیدواژه‌ها [English] | ||
| Landsat, land-use change, monitored classification, remote sensing, satellite images | ||
| مراجع | ||
|
Abd El-Kawy OR, Rød JK, Ismail HA, Suliman AS. 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. Aliani H, Noorullahi Y, Babaei K, Afaki S. 2011. Study of land use change changes and the effect of physiographic factors in the distribution of changes using remote sensing and جی آی اس Journal of Renewable Natural Resources Research Journal. 2(3). 9–21.(In Persian). Alig RJ, Kline JD, Lichtenstein M. 2004. Urbanization on the US landscape: Looking ahead in the 21st century. Landscape Urban Plan, 69(2–3). 219–234. Amirnejad H. 2013. A study of factors affecting farmers' tendency to change land use in Mazandaran Province. Journal of Agricultural Economics Research. 4(16). 87–106. Barati S, Soltani S, Raygani B. 2011. The impact of land use changes on basin hydrological behavior (Case study: Shahrokh Castle Zayandehrood Dam), Iranian Journal of Watershed Management Science and Engineering. 5(16):63–66. (In Persian). Boniad AA, Haji Qaderi T. 2007. Preparation of map of natural forests of Zanjan Province using ETM+ Landsat satellite data 7. Journal of Agricultural Science and Technology and Natural Resources. 42(11): 627–638. (In Persian). Brian WS, Chen Qi, Michael B. 2011. A comparison of classification techniques to support land cover and land use analysis in tropical coastal zones. Applied Geography. 31(2): 525–532. Briassoulis H. 2000. Factors influencing land - use and land-cover change; landuse, Landcover and Soil Sciences, vol 1. Elagouz MH, Abou-Shleel SM, Belal AA, El-Mohandes MAO. 2020. Detection of land use/cover change in Egyptian Nile Delta using remote sensing. Journal of Remote Sensing and Space Sciences. 23(1): 57–62. Fathian F, Morid S, Arshad S. 2013. Assessing the trend of land use change using remote sensing technology and its relationship with river flow trend (Case study: Sub-basins east of Lake Urmia). Journal of Soil and Water (Agricultural Sciences and Industries), 27 (3): 642–655. (In Persian). Feizizadeh B, Haji Mir Rahimi SM. 2008, Application of remote sensing data in extraction of land use maps, Geomatic Conference and the Fourth Conference on the Unification of Geographical Names, Tehran, pp.1–10. (In Persian). Faizizadeh H, Rahimi SM. 2008, Detection of land use changes using object oriented classification method), Case study: Andisheh Town, National Geomatics Conference, National Mapping Organization, pp.1–10. (In Persian). Gibson PJ, Power CH. 2000. Introductory remote sensing: Digital image processing and applications, Routledge, 249 p. Howard JA. 1991. Remote sensing of forest resource: Theory and application. Chapman & Hall, London. Jafari M, Zehtabian Gh, Ehsani AH. 2013. Investigating the effect of thermal band and monitored classification algorithms on satellite data in land use mapping (Case study: Kashan). Iranian Journal of Rangeland and Desert Research. 20( 1): 72–87. (In Persian). Jensen JR. 2004. Digital change detection. Introductory digital image processing: A remote sensing perspective: pp. 467–494. Karami F. 2004. Study of landsat satellite data capability to determine degradation in Zagros forests. Master Thesis of Sari Faculty of Natural Resources, Mazandaran University, 71 p. Koolhoven E, Hendrikse W, Nieuwenhuis W, Retsios B, Schouernburg M, Wang L, Buelde P, Nijmeijer R. 2005. ILWIS 3.3 Academic, TC, Netherland. Lambin EF, Geist H. 2006. Land-use and land-cover change: Local Processes and Global Impacts. Springer. Lu D, Mausel P, Brondizio E, Moran E. 2004. Change detection techniques. Int. J. Remote Sens. 25(12): 2365–2401. Mahdavi A, Fathi Zad H, Shtayi Joybari Sh. 2014. Evaluation and analysis of various methods of detecting land use changes/vegetation (Case study: Manesht Protected Forests, Ilam Province). Journal of Wood and Forest Science and Technology Research. 21( 4):187–209. Mansour Sh, Al-Belushi M, Al-Alwadhi T. 2020. Monitoring land use and land cover changes in the mountainous cities of Oman using جی آی اس and CA-Markov modelling techniques. Land Use Policy. Volume 91. Mohammad Ismaeil Z. 2010. Monitoring of Karaj land use changes using remote sensing technique, Soil Research Journal (Science and Water). 24 (1): 81–88. (In Persian). Pakparvar MD, Gabriels K, Aarabi M, Edraki DR, Cornelis W. 2012. Incorporating legacy soil data to minimize errors in salinity change detection: a case study of Darab Plain, Iran. International Journal of Remote Sensing, 33(19): 6215–6238. Pal M, Mather PM. 2005. Support vector machines for classification in remote sensing. International Journal of Remote Sensing 26 (5): 1007–1011. Pars Consulting Engineers. (2000): "Surface water collection and disposal plan for the southern catchment area of Qarasu". Ponstingel D. 2020. The impact of exurban development on forested areas in Kurgan City, Russia. Journal of Land Use Policy. Vol 94. Pourahmad A, Zebardast A, Qarahloo M, Rajaei SA. 2011. Spatial analysis of daily comings and goings related to work and study in rural areas around metropolitan areas (Case study: Tehran metropolitan area). Rural Research, 4 (2): 385–407. (In Persian). Rasouli AA . 2009. Principles of applied remote sensing, Presses Universitaires de Tabriz, Tabriz, 777 p. (In persian). Rasouli AA, Zarrinbal M, Shafiee M. 2009. Application of satellite images with the aim of detecting land use change and environmental impact assessment. Watershed Management Research in Research and Construction. 82(1): 1–11. (In Persian). Reed BC, White M, Brown JF. 2003. Remote sensing phenology, In: Schwartz, M. D., (ed), Phenology: An intergrative environmental science Vol. 39, Kluwer Academic Publishers: Dordrecht, pp. 365–381. Shalaby A, Tateishi R. 2007. Remote sensing and for mapping and monitoring land cover and land use changes in the northwestern coastal zone of Egypt. Applied Geography. 27(1): 28–41. Studies on the organization and disposal of surface water in Kermanshah City. 2013. Volume 1, Sepahan Padidab Consulting Engineers. Sundarakumar K, Harika M, Begum SA, Yamini K, Balakrishna. 2012. Land use and land cover change detection and urban sprawl analysis of Vijayawada City using a landsat data. Engineering Science & Technology, 4(1): 170–178. Wolberg G. 1990. Digital image warping, Los Alamitos, CA: IEEE Computer Society Press, 318 p. Yazdani MR, Abaszade M, Zolfaghari AA, Mohammady M, Sadeghipour A. 2017. Effect of land use change on runoff yield using WetSpa Model in the Firoozkooh Watershed Basin. Journal of Watershed Management Research. 30(4): 35–46. (In Persian). Zaheri M. 2007. The role of physical expansion process in Tabriz City in suburban land use change and influence villages, Journal of Geography and Development, pp. 181–189. Zhang J, Zhang Y. 2007. Remote sensing research issues of the national land use change the national land use change program of China. ISPRS Journal of Photogrammetry & Remote Sensing, pp. 461–472. | ||
|
آمار تعداد مشاهده مقاله: 950 تعداد دریافت فایل اصل مقاله: 678 |
||