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

Author
Jorge, J.; Vallbé, M.; Soler, J.
Type of activity
Journal article
Journal
European journal of remote sensing
Date of publication
2019-01-01
Volume
52
Number
1
First page
169
Last page
177
DOI
https://doi.org/10.1080/22797254.2019.1572459 Open in new window
Repository
http://hdl.handle.net/2117/129062 Open in new window
URL
https://www.tandfonline.com/doi/abs/10.1080/22797254.2019.1572459 Open in new window
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 ...
Citation
Jorge, 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.
Keywords
Crops, Multispectral, Precision agriculture, Red edge, UAV, Unmanned aerial vehicle, Vegetation indices

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