Hakimzadeh, M., Vahdati, A. (2018). Monitoring of organic matter and soil salinity by using IRS - LissIII satellite data in the Harat plain, of Yazd province. Desert, 23(1), 1-8. doi: 10.22059/jdesert.2018.66342
M.A. Hakimzadeh; A.R. Vahdati. "Monitoring of organic matter and soil salinity by using IRS - LissIII satellite data in the Harat plain, of Yazd province". Desert, 23, 1, 2018, 1-8. doi: 10.22059/jdesert.2018.66342
Hakimzadeh, M., Vahdati, A. (2018). 'Monitoring of organic matter and soil salinity by using IRS - LissIII satellite data in the Harat plain, of Yazd province', Desert, 23(1), pp. 1-8. doi: 10.22059/jdesert.2018.66342
Hakimzadeh, M., Vahdati, A. Monitoring of organic matter and soil salinity by using IRS - LissIII satellite data in the Harat plain, of Yazd province. Desert, 2018; 23(1): 1-8. doi: 10.22059/jdesert.2018.66342
Monitoring of organic matter and soil salinity by using IRS - LissIII satellite data in the Harat plain, of Yazd province
Dept. of Desert Management, Faculty of Natural Resources, Yazd University, Yazd, Iran
Abstract
Current study monitored Electerical Conductivity (EC) as soil salinity index and Organic Matter (OM) in the area of Harat in Yazd, Iran, through remote sensing technology with high spatial and spectral resolution. The images were selected from IRS, LISS III satellites between the years 2008 and 2012. After preprocessing and analyzing the images, the relationship between parameters of (EC) and (OM) spectral reflections were determined, and both two-satellite images were classified using maximum likelihood method. Results showed that during the period (2008-2012) organic matter content of all farmlands increased and the area of saline land decreased. This trend showed that agriculture activities help reduction of desertification. Accuracy classification and coefficient kappa obtained for salinity map in 2008 were equal to 82% and 0.73, and in 2012, were equal to 84% and 0.70 respectively. Accuracy of classification and coefficient kappa obtained for Organic matter map in 2008 were equal to 85.5% and 0.76 and in 2012, were equal to 84% and 0.74 respectively. This research indicates that remote sensing data, especially IRS-LissIIIimages, have high efficiency for detection of soil salinity and organic matter changes and natural resources management.
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