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Remote sensing GIS monitoring change in salinity

机译：遥感和GIS监测盐度的变化

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Remote sensing techniques are being increasingly applied to investigate soil characteristics. Here we propose an approach that allows the detection of salt-affected soils in semi-arid environments. I test the procedure in Pakistan through a combination of remote sensing and GIS based measurements. Spectral indices were used to characterize soil salinization features and patterns. so that proper measurements could be taken for the sustainable agriculture and water management. The study is made on the basis of salinity to evaluate the system. This study employed an index-based approach of using Geographic Information System with field data. Several combinations of the ratio of signals received in different spectral bands were used for development of this index. Near Infrared and Thermal IR spectral bands proved to be most effective as this combination helped easy detection of salt affected area. Result showed that 9.97% area under salinity in 1992, 9.17% in 2000 and it left 2.29% in year 2005. Similarly in 1992, 45% area is under vegetation it improves to 56% and 65% in 2000 and 2005 respectively.
机译：越来越多地应用遥感技术来研究土壤特性。在这里，我们提出了一种方法，允许在半干旱环境中检测盐受影响的土壤。我通过遥感和基于GIS的测量来测试巴基斯坦的程序。光谱索引用于表征土壤盐渍化特征和图案。因此，可以采取适当的测量来实现可持续农业和水资源管理。该研究基于盐度进行，以评估系统。本研究采用了一种基于索引的使用与现场数据的地理信息系统的方法。在不同光谱带中接收的信号比率的几种组合用于开发该指标。近红外和热红外光谱带被证明是最有效的，因为这种组合有助于轻松检测盐受影响的区域。结果表明，1992年的盐度下9.97％，2000年9.17％，它在2005年留下了2.29％。同样，在1992年，45％的面积分别在2000年和2005年提高了56％和65％。

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