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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:基于表面土壤水分检索监测涝渍区域的热遥感技术的潜力

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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检索的ISMailia省省长监测热遥感的能力。在三个不同的日期(1998,2008和2015)中,将三个Landsat卫星图像5,7和8(TM,ETM +和TIR)用于此目的。基于计算的土地表面温度(LST)制备土壤湿度指数(SMI)。五十五个土壤剖面挖出了研究区域的水表深度。 SMI验证于2015年进行了来自5厘米的表面土壤样品,其中估计实际的水分含量。应用了SMI的数字变化检测技术,以监测两次(1998-2008)的表面土壤水分的变化(1998-2008),(2008-2015)。结果表明,土壤水分含量的时空变化与土壤质地,土地用/地层,土壤升高和水位水平有关。实际和检索土壤水分之间的相关性显示与R-2 = 0.61的中等相关关系。此外,水表东部研究区域的增加。结果说明了水位的增加是与土壤水分的直接关系。此外,从1998年到2008年的研究区域的22.06%的研究区域,40.55%的地区占SSM 2008年至2015年的40.55%的增加。此外,SSM的40.55%在SSM中持续增加。倾向于增加农业膨胀和水位水平,导致萨布拉转换为水体和鱼类农场。 SMI可能是映射涝渍地区的有效工具。

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