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

10.1080/22797254.2019.1572459
Incluye datos de uso desde 2022
Cita com:
hdl:2117/129062
Tipo de documentoArtículo
Fecha de publicación2019-01-01
Condiciones de accesoAcceso abierto
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Reconocimiento-NoComercial-SinObraDerivada 3.0 España
Resumen
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.
CitaciónJorge, J.; Vallbe, M.; Soler, J. Detection of irrigation inhomogeneities in an olive grove using the NDRE vegetation index obtained from UAV images. "European journal of remote sensing", 1 Gener 2019, vol. 52, núm. 1, p. 169-177.
ISSN2279-7254
Versión del editorhttps://www.tandfonline.com/doi/abs/10.1080/22797254.2019.1572459
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