Application of remote sensing techniques for the study of soil salinity in semi-arid Uzbekistan

E. Karavanova, D. Shrestha, D. Orlov
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引用次数: 18

Abstract

Remote sensing techniques were applied to study saline soils in the semi-arid environment, belonging to the territory of the Dzhizakskaya steppe of Uzbekistan. Aerial photographs (scale 1:2,000) were used in the sample area to investigate the spectral response of various soil groups prevalent in the area. Satellite photographs were used to map saline soils in the investigated area. Multispectral photographs in wave bands green (510-600 nm), red (600-700 nm) and infrared (700-900 nm), taken aboard a Russian satellite, were digitally scanned. The data were used for the classification of saline soils which allow 5 classes of salinity levels with estimated accuracy of about 70 %. The green band has the most information with regard to salinity. Apart from soil moisture variation, the main factors influencing spectral reflectance characteristics of saline soils are humus, carbonates, gypsum and water-soluble salt contents of which the influence of the latter is by far the greatest.
遥感技术在半干旱乌兹别克斯坦土壤盐分研究中的应用
应用遥感技术研究了乌兹别克斯坦dzhzakskaya草原半干旱环境下的盐渍土壤。采用航空摄影(比例尺为1:20 00)对样区不同土壤类群的光谱响应进行了研究。利用卫星照片绘制了调查地区的盐碱地图。在俄罗斯卫星上拍摄的绿色(510- 600nm)、红色(600- 700nm)和红外(700- 900nm)波段的多光谱照片进行了数字扫描。这些数据被用于盐渍土的分类,它允许5类盐度水平,估计精度约为70%。绿带包含的关于盐度的信息最多。除土壤水分变化外,影响盐渍土光谱反射率特征的主要因素是腐殖质、碳酸盐、石膏和水溶性盐含量,其中水溶性盐含量的影响最大。
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