中国农业机械化科学研究院集团有限公司 主管

北京卓众出版有限公司 主办

基于MODIS数据的河北省冬小麦长势及干热风灾害遥感分析

Remote Sensing Analysis of Winter Wheat Growth and Dry Hot Wind Disaster in Hebei Province Based on MODIS Data

  • 摘要: 使用MODND1D中国500 m分辨率归一化差值植被指数(NDVI)产品数据,对河北省2018年10月—2019年5月冬小麦各生育期NDVI变化进行分析,并对2019年5月22日冬小麦灌浆期河北省的一次大面积干热风过程进行分析,对比干热风发生前后NDVI变化特征。结果表明,NDVI可以较好地反映冬小麦各生育期长势情况,同时可以反映干热风对冬小麦灌浆期的影响,当干热风发生时NDVI出现明显的下降趋势,且其下降幅度随干热风灾害程度加重而增大。

     

    Abstract: Using MODND1D China′ s 500 m resolution NDVI product data,changes of NDVI in each growth period of winter wheat in Hebei Province from October 2018 to May 2019 were analyzed,and a large-area dry hot wind process in Hebei Province during winter wheat filling period on May 22,2019 was analyzed to compare changes of NDVI before and after dry hot wind.Results showed that NDVI could better reflect growth of winter wheat in each growth period and effect of dry hot wind on winter wheat filling period.When dry hot wind occurred,NDVI showed an obvious downward trend,and its downward range increased with aggravation of dry hot wind disaster.

     

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