基于HJ 星高光谱数据红边参数的冬小麦叶面积指数反演
摘要
This study intends to examine the applicability of HJ-1A HSI data to estimation of leaf area index for crop monitoring. Four red edge indices (red vale position, red edge position, red edge slop and red edge swing) were used to extract the required information from the HJ-1A HSI data with inverse Gauss model. Combined with ground measurements data in April and May in 2009, regression analyses were used to establish red edge parameters model for LAI. Red edge position, red edge slop and red edge swing were highly correlated with LAI. R 2 were 0.5592, 0.7796 and 0.8107 respectively. Validation results showed that the HJ-1A HSI data have great potential in LAI inversion.
引用本文（GB/T 7714）
XueYang CHEN, JianJun ZHU, BingFang WU, 等. 基于HJ 星高光谱数据红边参数的冬小麦叶面积指数反演[J]. Scientia Sinica Informationis, 2011.
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