Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by Hossein Aghighi
Total Records ( 2 ) for Hossein Aghighi
  Hossein Aghighi , Abbas Alimohammadi and Mohammad Sadeghi Ghahareh
  Traditionally, the time of prayer was being announced through mosques. Nowadays, there’s a special time in cities of Muslim countries, known as prayer times table. Mean while villages lack such division or table, they use the Prayer times of nearby cities. In non-muslim countries, such tables just belong to big cities and other areas have difficulties to find (precise) prayer times. Quantitative computation of Prayer times is dependent on geographical coordinate of that place and space/time position of Sun. Residential areas were determined as polygon and each of them are located in a specific geographical coordinate. It’s not possible to use the Prayer time of one point for another point far from that. In this research, the area was divided into pixels of 1000*1000 m and Prayer time was calculated with astronomical relations. The accuracy of this study had been compared to those were presented by calendar center of geophysics institute (University of Tehran) and had perfect accuracy. Prayer time was calculated for each pixel of the studying area by GIS. Results of this research showed the necessity of GIS in determining Prayer times and led to more accuracy of calculations.
  Hossein Aghighi , Abbas Alimohammadi , Mohammad Reza Saradjian and Davood Ashourloo
  In this research, usefulness of IRS-LISS-III data of Gorgan Bay, South-east of Caspian Sea located in North of Iran for water turbidity mapping, has been tested. After correction of geometric and radiometric errors, the resulting radiance data were used for examination of correlations between the remotely sensed and in situ water turbidity data simultaneously measured by the Secchi depth approach. Results of this research showed good relations between the Secchi depth and spectral data. The fitted statistical model was very significant (R2 = 0.77) and test of the model performance by independent samples was encouraging. Because of the low costs encountered with acquisition and processing of remotely sensed data, further research in larger scales for the purpose of more precise test of the approach for water turbidity mapping and monitoring is recommended
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility