Applications of microwave remote sensing of soil moisture for agricultural applications
Applications of microwave remote sensing of soil moisture for agricultural applications
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发表时间：
2009
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通讯作者：
T. Lakhankar;N. Krakauer;R. Khanbilvardi
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作者：
T. Lakhankar;N. Krakauer;R. Khanbilvardi
农业灌溉是淡水资源的最大用户（80%）。随着对淡水的需求不断增加，必须通过遥感提供的客观和准确的信息，最佳利用水资源，提高农业生产力。本文综述了微波遥感土壤水分和植被在农业上的应用潜力。微波遥感可用于估计土壤湿度的基础上，大的对比度之间存在的介电常数值的干和湿的土壤。在作物生长过程中对根区土壤水分有效性进行实时监测，可以预防水分胁迫，提高作物生产力。在田间尺度上，高分辨率土壤水分数据可以更好地用于精准农业的灌溉调度。在更大的尺度上，低分辨率土壤湿度数据可以替代植被指数用于监测和预测作物产量。由于微波能穿透云层，微波遥感可作为维斯/红外高光谱数据的一个很好的替代方法，用于监测植被分布、健康和农业用水需求。
Agricultural irrigation is the largest (80%) user of freshwater resources. With increasing freshwater demand, it is important to make optimal use of water resources with improved agricultural productivity through objective and accurate information provided by remote sensing. This paper reviews the potential of applications of microwave remote sensing of soil moisture and vegetation for agricultural application. Microwave remote sensing can be used to estimate soil moisture on the basis of large contrast that exists between the dielectric constant values for dry and wet soils. Temporal monitoring of water availability at soil root zone during growth periods of crop could prevent water stress and improve the productivity. At field scales, the high resolution soil moisture data can be better used for irrigation scheduling through precision agriculture. At larger scales, low resolution soil moisture data as alternative to vegetation index can be used to monitor and predict crop yield. Because microwaves penetrate cloud, microwave remote sensing could be a good alternative to VIS/IR hyperspectral data for monitoring vegetation distribution, health and water needs for agricultural applications.