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Variability of Soil Moisture in the Walawe River Basin: A Case Study in Sri Lanka Using Low-Resolution Satellite Data

机译:瓦拉威河流域土壤水分的变异性:以斯里兰卡为例,利用低分辨率卫星数据

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Limited availability of freshwater and increasing demand for food require careful management of available resources. However, information on water utilization within river basins is often inadequate for comprehensive water management. Therefore, researchers are developing new tools and methodologies to overcome these data problems. A major concern for land use planning is the identification of suitable areas for different types of activities to enable optimal management of natural resources. Satellite remote sensing technology opens new paths for studies on the management of river basins. Through information derived from satellite data, it is possible to monitor land surface conditions and the status of the water resources on daily basis. NOAA-AVHRR sensor supplies data at a relatively low resolution for every part of the world, also on a daily basis. By integrating these low-cost images in physically based models, soil moisture was estimated for every part of Sri Lanka at 1-km resolution. This paper endeavors to show the relevance of soil moisture variation for water basin characterization, and ultimately for natural resources management. Walawe basin, one of the IWMI benchmarked basins in Sri Lanka has been selected for soil-moisture characterization and for the delineation of classes. Results show time variations and amplitude differences between different zones in the basin. When compiled with the vegetation growth zones of Walawe, the soil moisture highlights relevant land and water management lessons.
机译:淡水供应有限和对食物的需求不断增加,需要对可用资源进行认真管理。但是,关于流域内水利用的信息通常不足以进行全面的水管理。因此,研究人员正在开发新的工具和方法来克服这些数据问题。土地使用规划的主要关注点是为不同类型的活动确定合适的区域,以实现自然资源的最佳管理。卫星遥感技术为流域管理研究开辟了新途径。通过从卫星数据获得的信息,有可能每天监测陆地表面状况和水资源状况。 NOAA-AVHRR传感器每天也以较低的分辨率为世界各地提供数据。通过将这些低成本图像整合到基于物理的模型中,可以以1 km的分辨率估算斯里兰卡每个部分的土壤湿度。本文力图表明土壤水分变化对水盆地特征化以及最终对自然资源管理的相关性。 Walawe盆地是斯里兰卡IWMI基准盆地之一,已被选择用于土壤水分表征和等级划分。结果显示盆地中不同区域之间的时间变化和幅度差异。当与瓦拉维的植被生长区一起编制时,土壤湿度突出了相关的土地和水管理课程。

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