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遥感信息在大面积土壤水分监测中具有不可替代的优势。通过对试验区域的气象数据、土壤类型数据、土壤和水体的光谱特征曲线、多时相遥感影像数据等进行预处理,提取图像信息和属性数据,并对土地利用类型和植被覆盖度进行划分。基于土壤的光谱响应机制建立像元反射光谱信息分解模型,以此计算出该区域土壤容积含水率。结果表明该方法对于低植被区的监测精度较高(理论精度89.78%),可作为土壤水分监测预警的依据。
Remote sensing information has an irreplaceable advantage in monitoring soil moisture in a large area. Through the pretreatment of meteorological data, soil type data, soil and water spectral characteristic curves, multi-temporal remote sensing image data and so on, the image information and attribute data are extracted, and the land use types and vegetation coverage are divided. Based on the spectral response mechanism of soil, a pixel degradation spectral information decomposition model was established to calculate the soil moisture content in this region. The results show that the method has a high accuracy (89.78% of theoretical accuracy) for monitoring low-vegetation areas and can be used as the basis for monitoring and forecasting soil moisture.