基于生物量的区域土壤水分变化量反演  

Retrieval of regional soil water changes based on remote sensing biomass products

作　　者：苏涛[1] 王鹏新[1] 杨博[2] 刘翔舸[1] 

机构地区：[1]中国农业大学信息与电气工程学院,北京100083 [2]黑龙江农垦科学院科技情报研究所,哈尔滨150036

出　　处：《农业工程学报》2010年第5期52-58,F0002,共8页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家高技术研究发展计划课题(2007AA12Z139);国家自然科学基金项目(40871159;40571111;40371083);国家科技支撑计划课题(2006BAD10A01)

摘　　要：为了研究作物生物量与土壤含水量之间的关系,该文以黑龙江军川农场为研究区域,建立了生物量与土壤水分的动力学模型,提出了一种基于生物量的区域土壤水分变化量反演方法。选用SEBAL模型作为参考模型,对同一时期的区域土壤水分变化量的监测结果进行了对比分析。结果表明:玉米全生育期土壤水分变化量集中在-300～-35mm之间;通过对比基于生物量的监测结果与SEBAL模型的监测结果,发现二者的纹理特征和空间分布相似,分布规律几乎一致,从而验证了本方法能够较好地反映土壤水分的变化,是一种监测土壤水分变化的有效方法。In order to investigate the relation between soil moisture and crop biomass,an approach of retrieving regional soil water changes was studied by using remote sensing biomass products of maize in the Junchuan Farm,Northeast of China.The SEBAL model was used as a referenced model to explain the possibility of using the dynamic model of biomass to monitor crop and soil water status.The results showed that the soil water changes of whole growth and development period of maize ranged from-300 mm to-35 mm.The spatial distributions of the retrieved soil water changes and evapotranspiration estimated by using the SEBAL model were similar,and there were little differences between the monitoring results of the two models.These results indicate the dynamic model for retrieving regional soil water changes is a feasible approach for monitoring regional soil water status.

关 键 词：土壤含水率 模型 生物量 反演 SEBAL 

分 类 号：S152.7[农业科学—土壤学] TP79[农业科学—农业基础科学]