Detection of irrigation inhomogeneities in an olive grove using the NDRE vegetation index obtained from UAV images

Abstract

We have developed a simple photogrammetric method to identify heterogeneous areas of irrigated olive groves and vineyard crops using a commercial multispectral camera mounted on an unmanned aerial vehicle (UAV). By comparing NDVI, GNDVI, SAVI, and NDRE vegetation indices, we find that the latter shows irrigation irregularities in an olive grove not discernible with the other indices. This may render the NDRE as particularly useful to identify growth inhomogeneities in crops. Given the fact that few satellite detectors are sensible in the red-edge (RE) band and none with the spatial resolution offered by UAVs, this finding has the potential of turning UAVs into a local farmer’s favourite aid tool.

Plant phenotyping relevance

UAV搭載マルチスペクトルカメラと植生指数を用いて、オリーブ園の生育不均一性・灌漑不均一性を検出する手法を開発しており、植物状態の取得方法が研究の中心である。

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