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作 者:权文婷[1] 李红梅[1] 周辉[1] 何慧娟[1] 能佳
机构地区:[1]陕西省农业遥感信息中心,陕西西安710014 [2]中国石油长庆油田分公司,陕西西安710018
出 处:《干旱地区农业研究》2016年第3期193-197,共5页Agricultural Research in the Arid Areas
基 金:陕西省气象局科技创新基金计划项目(2014M-15)
摘 要:基于FY-3C/MERSI 1 km遥感数据,分别利用植被供水指数模型(VSWI)、归一化干旱指数模型(NDDI)、多波段干旱指数模型(MBDI),对陕西省2014年夏季的干旱过程进行动态监测,结合研究区同时段10 cm土壤相对湿度资料,对3种干旱遥感监测模型的准确性和稳定性进行评价。结果表明:3种遥感监测模型对陕西省2014年夏季干旱过程监测的准确性均有较好表现,其中VSWI的动态监测稳定性更好;MBDI与VSWI对干旱中期干旱程度的反演结果准确性相当,但对于干旱前期与后期,VSWI结果的准确性更好。基于VSWI监测结果,将陕西省分为陕北、关中和陕南地区进行讨论,结果表明FY-3C/MERSI具备对陕西省这次干旱过程进行时空动态监测的能力。Base on FY- 3C / MERSI 1 km monitoring data,the Vegetation Supply Water Index Model( VSWI),Normalized Difference Drought Index Model( NDDI),and Multiple Band Drought Index Model( MBDI)were used to monitor summer drought in Shaanxi Province in 2014. Also,the 10 cm relative soil moisture observation data were utilized to comparatively analyze the accuracy and stability of these three drought remote sensing monitoring models. The result showed that accuracy of all three remote sensing methods was acknowledged toward drought of Shaanxi in summer 2014. The result of VSWI dynamic monitoring performed better than others. The accuracies of MBDI and VSWI were at the same level during the middle term of drought period,but VSWI was better at early and late stages than MBDI. According to the VSWI monitoring result,when Shaanxi was divided into Shanbei district,Guanzhong district and Shannan district,the result indicated that FY- 3C / MERSI data was able to monitor the spatial-temporal dynamics of drought in Shaanxi Province.
关 键 词:FY-3C/MERSI数据 干旱监测 植被供水指数 归一化干旱指数 多波段干旱指数
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