9249

8551

كارشناسي ارشد

بيابان زدايي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده منابع طبيعي

1393

سيزده،104ص.: مصور،جدول،نمودار﴿رنگي﴾

ص.ع.به فارسي و انگليسي

رضا جعفري، سعيد سلطاني كوپائي

محمدتقي كاشكي

18/8/93

سعيد پورمنافي، سعيد اسلاميان

مهندسي منابع طبيعي

ID8551

115Drought Monitoring Using Remote Sensing and Climatic Indices in Khorasan Razavi Province Samaneh Zormand Tarzjani s zormand@gmail com Department of Natural resources Isfahan University of Technology Isfahan 84156 83111 IranDegree M Sc Language FarsiSupervisor1 Reza Jafari E mail reza jafari@cc iut ac irSupervisor2 Saeed Soltani E mail ssoltani@cc iut ac irAbstractDrought is a natural and complex phenomenon which occurs in all areas According todrought damages and its impacts drought monitoring is necessary The aim of this studywas examine the possibility of drought monitoring using climate based standardizedprecipitation index SPI and also remotely sensed drought indices perpendicular droughtindex PDI modified perpendicular drought index MPDI and temperature vegetationdryness index TVDI in Khorasan Razavi province with anarea about 12842 Km2 Thedata used in this study were MODIS Level 1B data three images in a month from 2003 to2013 First Level 1B data were pre processed and the PDI MPDI and TVDI indices werecalculated To investigate the effect of land use land cover on the indices agricultural andurban areas were removed from images and then minimum maximum and mean valuedof the indices were extracted before and after masking these land use Monthlyprecipitation data from 42 rainfall stations 30 years period were used to calculated SPI atfive different time scales including 1 3 6 9 and 12 months In the next step SPI mapswere spatially create by kriging technique and their minimum maximum and mean valueswere extracted and regressed against satellite based indices Soil moisture in the 0 15 and 15 30 cm layer of soil depth were used to validate PDI MPDI and TVDI indices The correlation between SPI and image indices showed that PDIand MPDI had the highest correlations with 6 months SPI R2 0 95 R2 0 96 andTVDI s relationship was about R2 0 47 With 3 month SPI After removing agriculturaland urban land uses the correlations were increased up to Strong relationships rangingfrom 0 81 to 0 92 between PDI MPDI and TVDI and field based soil moisture datarevealed that these image based indices are good predictors of drought in the region Overall the results showed that both the PDI and MPDI are appropriate indicators of soilmoisture and vegetation cover and they can be used as an adjunct to SPI in droughtassessment and monitoring at regional scales Key words Drought monitoring PDI MPDI TVDI SPI Khorasan Razavi province

رضا جعفري، سعيد سلطاني كوپائي

محمدتقي كاشكي

سعيد پورمنافي، سعيد اسلاميان