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首页> 外文期刊>Journal of African Earth Sciences >Potential of thermal remote sensing techniques in monitoring waterlogged area based on surface soil moisture retrieval
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Potential of thermal remote sensing techniques in monitoring waterlogged area based on surface soil moisture retrieval

机译:基于表层土壤水分反演的热遥感技术在涝灾监测中的潜力

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摘要

The aim of this paper was to test the capability of thermal remote sensing in monitoring waterlogged areas in Ismailia governorate based on surface soil moisture retrieval. Three landsat satellite images 5, 7 and 8 (TM, ETM + and TIRS) were used for this purpose during three different dates (1998, 2008 and 2015). Soil moisture index (SMI) was produced based on calculated Land surface temperature (LST). Fifty five soil profiles have been dug to measure the depth of water tables of the study area. SMI Validation was carried out in 2015 using surface soil samples from the upper 5 cm in which actual moisture content was estimated. Digital change detection techniques for SMI were applied in order to monitor the change in the surface soil moisture along two time periods (1998-2008), (2008-2015). The results indicated that the spatio-temporal variations of soil moisture content are associated with soil texture, landuse/landcover, soil elevation and water table levels. Correlation between actual and retrieved soil moisture revealed a moderate correlation relationship with R-2 = 0.61. Furthermore, an increase of water table eastern the study area. Also the results illustrated the increasing of water table is a direct relation with soil moisture. In addition, an increase in the surface soil moisture (SSM) recognized in 22.06% of the study area from 1998 to 2008 while, 40.55% of the area showed an increased in the SSM from 2008 to 2015. This continuous increase in the SSM could be prone to the increasing agricultural expansion and water table levels which, led to conversion of sabkhas to water bodies and fish farms. SMI could be an effective tool in mapping waterlogged areas.
机译:本文的目的是测试基于地表土壤水分获取的热遥感监测伊斯玛利亚省内涝地区的能力。为此,在三个不同的日期(1998年,2008年和2015年)为此使用了三个卫星卫星影像5、7和8(TM,ETM +和TIRS)。土壤湿度指数(SMI)是根据计算出的陆地表面温度(LST)得出的。已挖出55个土壤剖面,以测量研究区域地下水位的深度。 SMI验证于2015年使用上部5 cm的表层土壤样品进行,其中估计了实际含水量。为了监测两个时期(1998-2008年),(2008-2015年)地表土壤水分的变化,应用了SMI的数字变化检测技术。结果表明,土壤水分的时空变化与土壤质地,土地利用/土地覆盖,土壤海拔和地下水位有关。实际和恢复的土壤水分之间的相关性显示出中等相关性,R-2 = 0.61。此外,研究区东部的地下水位增加。结果还表明,地下水位的增加与土壤湿度直接相关。此外,从1998年到2008年,在研究区域中22.06%的表层土壤水分(SSM)有所增加,而在2008年至2015年中,SSM的增加了40.55%。易受农业扩张和地下水位增加的影响,导致萨布哈人转变为水体和养鱼场。 SMI可能是绘制淹水区域的有效工具。

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