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UTILIZING THE VEN(mu)S RED-EDGE BANDS FOR ASSESSING LAI IN CROP FIELDS

机译:利用VEN(MU)的红边频段进行评估在裁剪领域的LAI

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This study aims to explore the potential and advantage of using the red-edge spectral bands of the forthcoming Vegetation and Environmental New micro Spacecraft (VEN(mu)S) for assessing Leaf Area Index (LAI) in field crops. Field spectral data were collected from experimental plots of wheat and potato at the northwestern Negev, Israel. These data were resampled to the VEN(mu)S bands being used for calculating the Red-Edge Inflection Point (REIP) and the Normalized Difference Vegetation Index (NDVI), which were compared to these same indices calculated with the original wavelengths. The VEN(mu)S data were found to be as good predictor of LAI as when using the original (continuous) data. The REIP was found to be significantly better than NDVI for prediction of wheat plants LAI and therefore could potentially be applied for future monitoring field crops LAI by VEN(mu)S.
机译:本研究旨在探讨使用即将举行的植被和环境新微型宇宙飞船(HEN(MU))的红边光谱带评估野外作物中的叶片区域指数(LAI)的潜在和优势。从以色列西北地区的小麦和土豆的实验地块收集了场谱数据。这些数据重新采样到用于计算红边拐点(REIP)和归一化差异植被指数(NDVI)的HEV(MU)频带,其与用原始波长计算的这些相同的指标进行比较。当使用原始(连续)数据时,ven(mu)的数据被发现与莱的良好预测因子。发现重新恢复明显优于NDVI,用于预测小麦植物赖,因此可能适用于Ven(MU)的未来监测田间作物Lai。

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