【摘要】 为了解决传统地面测量站网络不能满足大尺度土壤水分的时、空间变化的问题,而利用微波在土壤水分反演方面具有的独特优势,总结了被动微波遥感模态反演土壤湿度的规律,提出了利用双谱模型计算土壤表面的发射率的方法,并对实验区进行了成功的地表土壤水分反演,取得了理想的结果,该成果对于利用被动遥感技术反演土壤湿度具有一定的技术推广意义。更多还原

【Abstract】 Passive microwave remote sensing techniques have great potential for providing estimates of soil moisture with good temporal repetition on a daily basis and on a regional scale(~10km). The emissivity for bare soil surface is calculated based on the theoretical backscattering model BSM. Simulation result shows that it’s feasible to invert soil moisture by neural network (NN) based on BSM model. Using two kinds of emissivity data of two polarizations as the input of ANN, the inversion error of soil moisture is allowable even when there is some uncertainty on priori knowledge.更多还原