Unmanned Aerial Vehicle (UAV) is widely used to acquire data on the biometric and spectral characteristics of olive trees through multispectral cameras. Several flight parameters and image processing techniques can be applied in order to obtain this information. The aim of this work was to study the variability of the main biometric parameters and multispectral characteristics of olive trees through multispectral images acquired from a remote platform (UAV) at three different flight altitudes (30, 50 and 70 m), in two acquisition periods, with and without the use of differential coordinate correction (RTK), also applying different image segmentation techniques. Phantom 4 Multispectral UAV platform was used for the two flight campaigns. The photogrammetric processing was carried out using the software Agisoft Photoscan Professional, version 1.7.3. The biometric and multispectral data extraction processing was carried out through the software QGIS, version 3.2. Different segmentation techniques were applied on the acquired images, starting from the main vegetation indices maps as Normalized Difference Vegetation Index (NDVI) and the Modified Soil Adjust Index (MSAVI). The results showed that the olive tree canopy can be accurately studied using the canopy spectral information obtained by the UAV multispectral system.
Catania P., Ferro M.V., Roma E., Orlando S., Vallone M. (2023). Olive Tree Canopy Assessment Based on UAV Multispectral Images. In V. Ferro, G. Giordano, S. Orlando, M. Vallone, G. Cascone, S. Porto (a cura di), AIIA 2022: Biosystems Engineering Towards the Green Deal: Improving the Resilience of Agriculture, Forestry and Food Systems in the Post-Covid Era (pp. 469-478). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-30329-6_48].
Olive Tree Canopy Assessment Based on UAV Multispectral Images
Catania P.;Ferro M. V.;Roma E.;Orlando S.
;Vallone M.
2023-01-01
Abstract
Unmanned Aerial Vehicle (UAV) is widely used to acquire data on the biometric and spectral characteristics of olive trees through multispectral cameras. Several flight parameters and image processing techniques can be applied in order to obtain this information. The aim of this work was to study the variability of the main biometric parameters and multispectral characteristics of olive trees through multispectral images acquired from a remote platform (UAV) at three different flight altitudes (30, 50 and 70 m), in two acquisition periods, with and without the use of differential coordinate correction (RTK), also applying different image segmentation techniques. Phantom 4 Multispectral UAV platform was used for the two flight campaigns. The photogrammetric processing was carried out using the software Agisoft Photoscan Professional, version 1.7.3. The biometric and multispectral data extraction processing was carried out through the software QGIS, version 3.2. Different segmentation techniques were applied on the acquired images, starting from the main vegetation indices maps as Normalized Difference Vegetation Index (NDVI) and the Modified Soil Adjust Index (MSAVI). The results showed that the olive tree canopy can be accurately studied using the canopy spectral information obtained by the UAV multispectral system.File | Dimensione | Formato | |
---|---|---|---|
Olive Tree Canopy Assessment.pdf
Solo gestori archvio
Descrizione: final paper
Tipologia:
Versione Editoriale
Dimensione
338.44 kB
Formato
Adobe PDF
|
338.44 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.