پديد آورنده :
نوريان نجف آبادي، مجتبي
عنوان :
آشكارسازي اثرات خشكسالي بر روند تغييرات پوشش اراضي غرب استان اصفهان با استفاده از داده هاي هواشناسي و سنجش از راه دور
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
بيابان زدايي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده منابع طبيعي
صفحه شمار :
هجده،148ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد مشاور :
سعيد سلطاني كوپائي
توصيفگر ها :
SPI , NDVI , پهنه بندي , آشكارسازي تغييرات , تفريق تصاوير , همبستگي فضايي
تاريخ نمايه سازي :
18/8/93
استاد داور :
سعيد اسلاميان، سعيد پورمنافي
دانشكده :
مهندسي منابع طبيعي
چكيده فارسي :
4 13 8 وضعيت خشكسالي و تغييرات پوشش گياهي منطقه مطالعاتي بين سال هاي 3115 تا 1315 853 4 43 شناسايي مناطق با بيشترين تأثيرپذيري از خشكسالي هاي اخير 353 4 23 نتايج همبستگي شاخص هاي SPI و 313 NDVI فصل پنجم نتيجه گيري و پيشنهادات 2 3 نتيجه گيري 613 2 5 پيشنهادات 143 منابع 343 چكيده انگليسي 343 دوازده
چكيده انگليسي :
149 Detection of Drought Effects on Land Cover Changes UsingMeteorological and Remote Sensing Data in the West of Isfahan Province Mojtaba Nourian Najafabadi Email address m no0311@yahoo com Department of Natural Resources Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc language Farsi Reza Jafari reza jafari@cc iut ac irAbstract As one of the most destructive weather phenomena drought has a natural but complicatednature that influences all aspects of the human life in all climates in a hidden way Considering many drought occurred in Isfahan province this study aimed to detect theeffects of drought on vegetation changes in a 905000 ha area in the western part of theprovince in past four decades using remote sensing and climate data For this purpose climate data and Landsat time series satellite images including MSS 1973 and 1976 TM1985 1992 1998 and 2009 ETM 2000 and 2006 and a 2013 Landsat 8 image which werea good representatives of dry normal and wet conditions were selected Then with use ofstandardized precipitation index SPI and image differencing of normalized vegetationindex NDVI and reclassifying NDVI values the amount of vegetation changes weredetermined in eight periods based on satellite images Finally spatial correlation techniquewas used to investigate relationships between SPI and NDVI indices The results of SPI inthe scales of 3 6 and 12 months leading up to the month of taking the satellite images havedemonstrated that the year 2000 was the driest and the year 1992 the wettest year among theavailable stations in the study area The results of change detection analysis showed that themaximum increase in vegetation has occurred from 1973 to 1998 In this period vegetationcover increased 117893 ha and the maximum decrease in vegetation of the area has occurredfrom 1992 to 2013 in which 99976 ha decrease was observed in vegetation cover Ananalysis of mostly influenced areas by drought showed that nearly after the year 2000 thevegetation cover of these areas has experienced a great decrease until 2013 and this statushas reached its peak from 2009 to 2013 in most of the regions including Isfahan Tiran Karvan and Shahinshar Considering vegetation changes inside and around the urban areas it seems that population increase and urban development have an important role in vegetationchanges in comparison with drought in the study area The spatial correlation between SPIand NDVI ranged from 0 76 to 0 98 in the entire study area and naturally vegetated areas respectively which indicates the high potential of the indices in natural lands Overall theresults of this study indicated that the integration of remote sensing and climatologicaltechniques is a very suitable methodology for drought mapping and monitoring and it canbe used as one of the most applicable techniques in optimal management of vegetation coverand drought phenomenon in broad areas Key Words SPI NDVI Drought monitoring Change detection Image differencing Spatial correlation
استاد مشاور :
سعيد سلطاني كوپائي
استاد داور :
سعيد اسلاميان، سعيد پورمنافي
