Detection of irrigation inhomogeneities in an olive grove using the NDRE vegetation index obtained from UAV images
Item
Title (Dublin Core)
Detection of irrigation inhomogeneities in an olive grove using the NDRE vegetation index obtained from UAV images
Description (Dublin Core)
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.
Creator (Dublin Core)
J. Jorge
M. Vallbé
J. A. Soler
Subject (Dublin Core)
unmanned aerial vehicle
uav
precision agriculture
multispectral
red edge
vegetation indices
crops
Oceanography
GC1-1581
Geology
QE1-996.5
Publisher (Dublin Core)
Taylor & Francis Group
Date (Dublin Core)
2019-01-01T00:00:00Z
Type (Dublin Core)
article
Identifier (Dublin Core)
2279-7254
10.1080/22797254.2019.1572459
https://doaj.org/article/f4b4740f60be4b12976a91163d81455d
Source (Dublin Core)
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 169-177 (2019)
Language (Dublin Core)
EN
Relation (Dublin Core)
http://dx.doi.org/10.1080/22797254.2019.1572459
https://doaj.org/toc/2279-7254
Provenance (Dublin Core)
Journal Licence: CC BY-NC