A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data
A Method for Estimating Soil Moisture from ERS Scatterometer and Soil Data
复制标题
DOI：
10.1016/s0034-4257(99)00036-x
复制
发表时间：
1999-11
影响因子：
13.5
通讯作者：
W. Wagner;G. Lemoine;H. Rott
中科院分区：
文献类型：
--
作者：
W. Wagner;G. Lemoine;H. Rott
研究了使用ERS散射仪数据监测乌克兰土壤水分的可能性。ERS散射计是一种C波段雷达，空间分辨率为50公里，时间采样率高。对6年的资料进行了表层土壤含水率的估算。与气象观测和辅助资料的定性比较表明，可以确定质量较好的地表湿度值。开发了一种简单的方法来将地表估计值与剖面土壤含水率联系起来。该模型需要遥感雷达数据和土壤数据作为输入，包括枯萎程度、田间持水量和孔隙度。该方法得到了乌克兰农业气象网络0-20厘米和0-100厘米层土壤水分重力测量的广泛数据集的验证。结果表明，ERS散射仪数据可以很好地区分5个土壤水分水平。
The potential of using ERS Scatterometer data for soil moisture monitoring over the Ukraine is investigated. The ERS Scatterometer is a C-band radar with a spatial resolution of 50 km and a high temporal sampling rate. An algorithm for estimating the surface soil moisture content is applied to 6 years of data. A qualitative comparison with meteorological observations and auxiliary information indicates that good-quality surface wetness values can be determined. A simple method is developed to relate the surface estimates with the profile soil moisture content. This model requires as input the remotely sensed radar data and soil data encompassing wilting level, field capacity, and porosity. The method was validated with an extensive data set of gravimetric soil moisture measurements in the 0–20 cm and 0–100 cm layers from the agrometeorological network in the Ukraine. It is found that the ERS Scatterometer data can be used to distinguish about five soil moisture levels with good confidence.