The aim of this paper is to determine the sea surface salinity (SSS) and temperature (SST) of Persian Gulf by using the AMSU-B sensor data of NOAA-16 satellite. A multiple linear regression method was used by statistical computing software R on AMSU-B data and in-situ data. Based on the results, the correlation coefficient (R2) for salinity and temperature was 0.85 and 0.94, respectively. Also,...

The Great Khorasan in northeast Iran has a variety of surface structures and plains and high peaks, but due to its vicinity to the deserts of Afghanistan and Turkmenistan, it is affected by dust all the time, especially in summer. The purpose of this study was to simulate summer dust in this region by RegCM model. For this purpose, during the period 2000 to 2017, three extreme dust events were ...

The objective of the present study was to investigate the pasture vegetation changes using satellite data in Semirom, Isfahan province. This study was conducted in 2004 as a wet year and 2009 as a dry year. The WiFS and AWiFS satellite images were acquired and used for the year 2004 and 2009, respectively. First, the vegetation percentage was simultaneously measured in the two years. Then, cons...

in this thesis a calibration transfer method is used to achieve bilinearity for augmented first order kinetic data. first, the proposed method is investigated using simulated data and next the concept is applied to experimental data. the experimental data consists of spectroscopic monitoring of the first order degradation reaction of carbaryl. this component is used for control of pests in frui...

One of the most common natural phenomena occurring in mountainous regions of the world is landslide which causes critical damages and is considered as a natural disaster.  Iran is a country which annually suffers from this disaster and its consequent damage of about 500 billion Rial. Over the last 15 years, an increasing number of researches have aimed to demonstrate the applicability of the im...