遥感监测土壤含水率模型及精度分析  

Model for monitoring soil moisture using remote sensing and its accuracy analysis

作　　者：张智韬[1] 李援农[1] 杨江涛[1] 常庆瑞[2] 

机构地区：[1]西北农林科技大学水利与建筑工程学院,杨凌712100 [2]西北农林科技大学资源环境学院,杨凌712100

出　　处：《农业工程学报》2008年第8期152-156,F0002,共6页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家高技术研究发展计划(863计划)/现代节水农业技术及新产品专项(2002AA2Z4041);国家"十一五"科技支撑计划"大型灌区节水改造工程关键支撑技术研究"(2006BAD11B05)

摘　　要：土壤含水率是决定农作物产量的最重要的因素之一。该文通过对2003年10月到2005年3月宝鸡峡二支渠灌区的土壤含水率进行实地调查,并对TM5和TM7波段数据进行归一化处理,再与参考点归一化土壤湿度指数求差后,建立遥感影像对土壤含水率的监测模型。并以2005年6月28日遥感影像为例,用建立的模型对土壤含水率进行定量反演。结果表明,反演精度可达80%以上,反演效果最好的土壤深度是0～40cm。应用此归一化土壤湿度指数模型监测土壤含水率,可以满足灌区大范围宏观监测要求。Soil moisture is very important to crop yield. Based on spot data of the soil moisture in the second branch irrigation canal of Baoji Xia, the data obtained from October, 2003 to March, 2005. Normalization processing was made for bands TM5 and TM7 of Landsat-TM, and then monitoring model for remote sensing and soil moisture by using difference value between normalized difference soil moisture index and reference normalized soil moisture index. Quantitative inversion of soil moisture based on established model and remote sensing image in June 28, 2005. The results show that inversion accuracy reach over 80%, and the best depth of soil layer is 0 -40 cm layer. The monitoring model is able to fulfill the soil moisture monitor requirements in large scale irrigation area.

关 键 词：土壤含水率 归一化土壤湿度指数 干旱监测 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]