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

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 sho...

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Bibliographic Details
Published in:European journal of remote sensing 2019-01, Vol.52 (1), p.169-177
Main Authors: Jorge, J., Vallbé, M., Soler, J. A.
Format: Article
Language:English
Subjects:
Agricultura de precisió
Avions no tripulats
Conreu
Crops
Drone aircraft
Enginyeria agroalimentària
Enginyeria de la telecomunicació
Inhomogeneity
Irrigation
Multispectral
Multispectral imaging
Photogrammetry
Precision agriculture
Precision farming
Radiocomunicació i exploració electromagnètica
Red edge
Spatial resolution
Teledetecció
UAV
Unmanned aerial vehicle
Unmanned aerial vehicles
Vegetation
Vegetation index
Vegetation indices
Vineyards
Àrees temàtiques de la UPC
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Summary: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.
ISSN:2279-7254
2279-7254
DOI:10.1080/22797254.2019.1572459