摘要
利用多年极轨气象卫星遥感资料,在计算出植被条件指数和温度条件指数的基础上,计算了遥感监测土壤墒情的植被温度条件指数(TV)。通过实测土壤湿度和TV的散点图,可以得到土壤墒情遥感模型的干旱等级指标,可用于干旱等级定性监测;通过建立土壤湿度和TV的回归方程,可进行土壤墒情定量监测。该方法兼有植被条件指数和温度条件指数的优点,且计算简单,对地面气象要素依赖性小,实时性好,在作物生长旺盛期,其定量反演0~30 cm土壤墒情精度平均可达80%以上,可以替代作物缺水指数法。
Based on the calculation results of Vegetation Condition Index(VCI),Temperature Condition Index(TCI),and the multi-year remote sensing data,the Vegetation Temperature Condition Index(VT) for remote sensing of soil moisture are calculated.By means of observed soil moisture and the VT scattered chart,the drought grading indexes for the remote sensing model of soil moisture can be obtained for qualitative drought monitoring,and by means of the regression equation of soil moisture and VT,the quantitative soil m...
出处
《气象科技》
2005年第S1期148-150,共3页
Meteorological Science and Technology
基金
科技部社会公益项目(2001DIB10089
2000DIB20104)
河南省气象局项目(Z200506)资助
关键词
植被温度条件指数
土壤墒情
遥感模型
vegetation temperature condition index
soil moisture
remote sensing model
