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首页> 外文期刊>Spanish Journal of Agricultural Research >A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape
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A simulation of soil water content based on remote sensing in a semi-arid Mediterranean agricultural landscape

机译:基于遥感的半干旱地中海农业景观土壤水分含量模拟

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This paper shows the application of a water balance based on remote sensing that integrated a Landsat 5 series from 2009 in an area of 1,300 km2 in the Duero Basin (Spain). The objective was to simulate the daily soil water content (SWC), actual evapotranspiration, deep percolation and irrigation rates. The accuracy of the application is tested in a semi-arid Mediterranean agricultural landscape with crops over natural conditions. The results of the simulated SWC were compared against 19 in situ stations of the Soil Moisture Measurement Stations Network (REMEDHUS), in order to check the feasibility and accuracy of the application. The theoretical basis of the application was the FAO56 calculation assisted by remotely sensed imagery. The basal crop coefficient (Kcb), as well as other parameters of the calculation came from the remote reflectance of the images. This approach was implemented in the computerized tool HIDROMORE+, which integrates various spatial databases. The comparison of simulated and observed values (at different depths and different land uses) showed a good global agreement for the area (R2=0.92, RMSE=0.031 m3 m-3, and bias=-0.027 m3 m-3). The land uses better described were rainfed cereals (R2=0.86, RMSE=0.030 m3 m-3, and bias=-0.025 m3 m-3) and vineyards (R2=0.86, RMSE=0.016 m3 m-3, and bias=-0.013 m3 m-3). In general, an underestimation of the soil water content is noticed, more pronounced into the root zone than at surface layer. The final aim was to convert the application into a hydrological tool available for agricultural water management.
机译:本文展示了基于遥感的水量平衡技术的应用,该技术整合了2009年以来的Landsat 5系列,在杜罗盆地(西班牙)的1,300 km2面积中。目的是模拟每日土壤含水量(SWC),实际蒸散量,深层渗滤和灌溉速率。在半干旱的地中海农业环境中,在自然条件下种植农作物,测试了应用程序的准确性。将模拟SWC的结果与土壤水分测量站网络(REMEDHUS)的19个原位站进行了比较,以检验该应用程序的可行性和准确性。该应用程序的理论基础是借助遥感影像进行的FAO56计算。基本作物系数(Kcb)以及计算的其他参数来自图像的远程反射率。这种方法是在计算机工具HIDROMORE +中实现的,该工具集成了各种空间数据库。模拟值和观测值(在不同深度和不同土地用途下)的比较表明,该区域具有良好的总体一致性(R2 = 0.92,RMSE = 0.031 m3 m-3,偏差= -0.027 m3 m-3)。描述得更好的土地用途是雨养谷物(R2 = 0.86,RMSE = 0.030 m3 m-3,偏差= -0.025 m3 m-3)和葡萄园(R2 = 0.86,RMSE = 0.016 m3 m-3,偏差=- 0.013立方米m-3)。通常,人们发现土壤水含量被低估了,在根部区域比在表层更明显。最终目的是将应用程序转换为可用于农业用水管理的水文工具。

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