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.File | Dimensione | Formato | |
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