AMSR微波遥感数据进行土壤湿度的计算机反演Soil moisture inversion by AMSR-E microwave remote sensing data
郭贺彬
摘要(Abstract)：
为了有效解决大尺度区域土壤水分时、空间变化监测的问题,在总结了被动微波遥感反演土壤湿度规律的基础上,基于先进的AMSR星载被动微波遥感数据,提出了利用双谱模型计算土壤表面发射率的计算机算法。首先需要由双站散射系数计算反射率和发射率,然后应用人工神经网络反演土壤湿度,实现了在随机粗糙面状况下基于被动微波遥感的土壤表面水分反演,并在实验区进行了成功的应用。
关键词(KeyWords)： 计算机算法;微波遥感;土壤湿度;BSM模型;人工神经网络
基金项目(Foundation):
作者(Author): 郭贺彬
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