پديد آورنده :
هادي تودشكچويي، رضا
عنوان :
پايش و مدلسازي خشكسالي با استفاده از شاخص هاي سنجش از دوري و SPI در استان اصفهان
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
مرتع و آبخيزداري
محل تحصيل :
اصفهان : دانشگاه صنعتي اصفهان
صفحه شمار :
سيزده، 125ص.: مصور (رنگي)، جدول، نقشه، نمودار
استاد راهنما :
سعيد سلطاني كوپائي، رضا مدرس
استاد مشاور :
سعيد پورمنافي
توصيفگر ها :
سنجش از دور , خشكسالي , استانداردسازي , همبستگي متقابل , اصفهان
استاد داور :
سعيد اسلاميان، عليرضا سفيانيان
تاريخ ورود اطلاعات :
1398/11/15
رشته تحصيلي :
منابع طبيعي
دانشكده :
مهندسي منابع طبيعي
تاريخ ويرايش اطلاعات :
1398/11/19
چكيده فارسي :
فصل پنجم نتيجه گيري و پيشنهادات 5 1 نتيجهگيري 511 5 2 پيشنهادات 711 منابع 811 چكيده انگليسي 621 ده
چكيده انگليسي :
126 Monitoring and Modeling of Drought by Studying the Relationship between Remote Sensing Indices and SPI Cause Study Isfahan Province Reza Hadi Toudeshkchooei r hadi@na iut ac ir January 2020 Department of Natural Resources Isfahan University of Technology Isfahan 84156 83111 Iran Degree MSc Language PersianDr Saeid Soltani ssoltani@cc iut ac irDr Reza Modares reza modarres@cc iut ac irAbstractDrought as one of the most complex and destructive of natural phenomena causes irreparabledamage to different aspects of human life every year such as economic social environmental foodsafety and so on Therefore identifying the behavior and pattern of this destructive phenomenon ineach region is necessary for appropriate decision making to reduce its damages The main humantools available to achieve this goal are the types of drought indicators that are used depending on thedifferent perspectives and aspects of the drought The purpose of this study was to investigate therelationship between meteorological drought and the response of vegetation communities in Isfahanprovince using satellite images and a variety of remote sensing indices For this purpose Standard Precipitation Index SPI was used to identify meteorologicaldroughts at 40 meteorological stations in the province and 18 remote sensing indices wereused to monitor vegetation conditions Initial results showed very low correlation betweenSPI and remote sensing indices In this regard all of the remote sensing indices werestandardized on 1 3 6 9 12 18 and 24 month time scales using the standardizationtechnique and again evaluated with SPI index The results showed that with standardization the correlation between SPI and some remote sensing indices such as CTVI NDVI EVI EVI 2 TTVI SAVI and MSAVI increased significantly especially for 18 and 24 monthtime scales On the other hand using the SPI index the 2006 and 2008 limit years wereidentified as the wettest and driest years respectively and zoning maps of drought statusand vegetation conditions were prepared for them The results showed that firstly remotesensing indices respond to drought with a few months delay and secondly vegetation inwestern province is more sensitive to drought conditions than eastern province The resultsof the Cross Corrolation showed that this delay is between 3 and 4 months which decreaseswith the longer moisture history 18 and 24 months Also in the modeling discussion it wasfound that while the Regression model 0 88Adjust R2 performs better than the DecisionTree 0 7 Adjust R2 in drought modeling NDWI II MSAVI MSI and NDDI indices arethe most important alternative indicators of remote sensing for estimating the SPI 24 Keywords Remote Sensing Drought Standardization Cross Corrolation Isfahan
استاد راهنما :
سعيد سلطاني كوپائي، رضا مدرس
استاد مشاور :
سعيد پورمنافي
استاد داور :
سعيد اسلاميان، عليرضا سفيانيان