干旱地区农业研究2018，Vol.36Issue(3)：236-243,8.DOI:10.7606/j.issn.1000-7601.2018.03.35
应用粒子滤波同化条件植被温度指数的土壤水分估测
Soil moisture estimation by using particle filter assimilated conditional vegetation temperature index
摘要
Abstract
In order to exactly obtain the temporal-spatial information of soil moisture(0～20 cm)in main growing period of winter wheat in Guanzhong Plain during 2013 to 2015,in this paper,based on the Landsat-8 remote sensing data,inverted the conditional vegetation temperature index(CVTI),constructed the soil moisture inverting model combined with the linear correlation between CVTI and measured soil moisture.Using the particle filter(PF)algorithm was assimilated the soil moisture based on CVTI inversion and simulation of the CERES Wheat model,obtained the assimilation of the soil moisture value with daily step length.The precision of the simu-lated,inverted and assimilated soil moisture values were inspected by the field-measured soil moisture respectively.The results were indicated that: The linear correlation between CVTI and field-measured soil moisture was notable,especially at jointing stage and heading-filling stage of wheat,the relativity was achieved extremely significant(P<0.01).The linear correlation between the assimilated and measured soil moisture(r＝0.96,P<0.001)was large estimated than the correlation between the simulated and measured soil moisture(r＝0.71,P<0.01)and the corre-lation between inverted and measured soil moisture(r＝0.89,P<0.001).The root mean square errors(RMSEs)and mean relative errors(MREs)of the assimilated soil moisture was reduced 0.025 mm3·mm-3and 2.70％re-spectively compared with the simulated soil moisture,and was reduced 0.016 mm3·mm-3and 4.15％respectively compared with the inverted soil moisture.These results indicated that the assimilation process was improved estima-ting accuracy of the soil moisture time series.Therefore,based on the CVTI and PF algorithm,the soil moisture content in main growing period of wheat in Guanzhong Plain can be accurately estimated.关键词
条件植被温度指数(CVTI)/土壤含水量/小麦生育期/估测/作物生长模型/粒子滤波/关中平原Key words
conditional vegetation temperature index/soil moisture/wheat growing period/estimation/crop growth model/particle filter/Guanzhong Plain分类
农业科技引用本文复制引用
解毅,王鹏新,李俐,荀兰,张树誉..应用粒子滤波同化条件植被温度指数的土壤水分估测[J].干旱地区农业研究,2018,36(3):236-243,8.基金项目
国家自然科学基金项目(41371390) （41371390）
