Remotely sensed imagery allows monitoring of olive tree’s cultivars with high spatial and temporal resolutions. Sensors on aircraft or UAVs can provide very high-resolution crop classification and health maps, but they are usually adopted for limited areas and low temporal frequency. The aim of this research is to analyze the temporal trend of some vegetation indices computed from satellite images on different olive cultivars in Apulia region (southern Italy) to highlight possible differences, and identify olive trees on huge areas with high temporal repeatability. Preliminary results, obtained by using Sentinel 2 data, highlight sufficient differences in the temporal trend of some Vegetation Indices among the olive cultivars investigated in Apulia region.

Vegetation Indices Time Series to Discriminate Olive Trees Cultivars

Matarrese R.
Primo
;
D'addabbo A.;
2024

Abstract

Remotely sensed imagery allows monitoring of olive tree’s cultivars with high spatial and temporal resolutions. Sensors on aircraft or UAVs can provide very high-resolution crop classification and health maps, but they are usually adopted for limited areas and low temporal frequency. The aim of this research is to analyze the temporal trend of some vegetation indices computed from satellite images on different olive cultivars in Apulia region (southern Italy) to highlight possible differences, and identify olive trees on huge areas with high temporal repeatability. Preliminary results, obtained by using Sentinel 2 data, highlight sufficient differences in the temporal trend of some Vegetation Indices among the olive cultivars investigated in Apulia region.
2024
Istituto di Ricerca Sulle Acque - IRSA - Sede Secondaria Bari
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA - Sede Secondaria Bari
979-8-3503-6032-5
Remote sensing, Vegetation Indices (VIs), Olive cultivar identification, Sentinel 2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/523512
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