Hyperion数据玉米叶绿素含量制图

Mapping of Maize Chlorophyll Content with Hyperion Data

采用星地同步观测方法,对Hyperion影像进行预处理并提取玉米专题信息,计算与遥感影像同步获取的玉米地面实测光谱及其一阶微分形式,作物光谱指数参量与叶绿素含量之间的相关性。结果表明:作物叶绿素含量预测指数TCARI/OSAVI与叶绿素a和叶绿素b的相关性最好,R2分别为0.5694和0.5313。采用其与叶绿素含量进行回归分析,建立叶绿素反演模型。将回归结果应用到提取的玉米区域,得出叶绿素a和叶绿素b含量的空间分布图,直观显示玉米的长势状况,为农业估产和植被长势监测提供重要的数据源。

Using satellites and ground synchronous observation method,preprocess Hyperion image and then extract corn thematic information,at the same time calculate the correlation between chlorophyll content and the true ground spectrum,its first-order differential form and spectral index of corn.The results showed that the crop chlorophyll content prediction index TCARI/OSAVI has the best correlation,which are 05694 and 05313.Use the feature to do the regression analysis with chlorophyll content,so that establish chlorophyll inversion model With the regression result to corn area of remote sensing image,obtain the spatial distribution of chlorophyll a and chlorophyll b contents.