Monitoring of organic matter and soil salinity by using IRS - LissIII satellite data in the Harat plain, of Yazd province

Desert Pub Date : 2018-06-20 DOI:10.22059/JDESERT.2018.66342
Hakimzadeh, A. Vahdati
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引用次数: 6

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.
利用IRS-LissIII卫星数据监测亚兹德省哈拉特平原的有机物和土壤盐度
本研究通过高空间和光谱分辨率的遥感技术,监测了伊朗亚兹德哈拉特地区土壤的电导率(EC)作为土壤盐分指数和有机质(OM)。这些图像是2008年至2012年间从IRS, LISS III卫星上选择的。通过对图像进行预处理和分析,确定了(EC)和(OM)光谱反射参数之间的关系,并采用极大似然法对两颗卫星图像进行分类。结果表明:2008-2012年期间,各农田有机质含量呈上升趋势,盐碱地面积呈下降趋势;这一趋势表明,农业活动有助于减少荒漠化。盐度图2008年的精度分类和kappa系数分别为82%和0.73,2012年为84%和0.70。2008年和2012年有机质图分类精度分别为85.5%和0.76,kappa系数分别为84%和0.74。研究表明,遥感数据特别是irs - lissiiii影像对土壤盐分和有机质变化的检测以及自然资源管理具有较高的效率。
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