In this experiment, Sentinel-2 data were used to create vegetation indices for commercial olive fields in Halkidiki, Northern Greece.
Nov 21, 2022 · In this experiment, Sentinel-2 data were used to create vegetation indices for commercial olive fields in Halkidiki, Northern Greece. Twelve ...
In this experiment, Sentinel-2 data were used to create vegetation indices for commercial olive fields in Halkidiki, Northern Greece. Twelve machine learning ...
In this study, we present a machine learning model (i.e., Random Forest) for the identification of abandoned olive tree groves using field observations and NDVI ...
In this experiment, Sentinel-2 data were used to create vegetation indices for commercial olive fields in Halkidiki, Northern Greece. Twelve machine learning ...
In this work, a methodology to create a detection model for olive tree stress status based on Sentinel-2 data is presented. Vegetation indices were created ...
Dec 10, 2023 · This study evaluated the use of two machine learning algorithms, Random Forest (RF) and XGBoost (XGB), in conjunction with the feature selection methods ...
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What can Sentinel 2 data be used for?
How do you detect plant stress?
Sep 1, 2023 · This work shows that commercial multispectral high-spatial resolution imagery can be used to detect intermediate and advanced Xf and Vd infection.
The aim of this work was to use Sentinel-2 derived Vegetation Indices to provide insight for stress detection in olive trees. 2 Utilized Datasets & Sampling ...
Missing: Implementing Groves.
We use images from the Sentinel-2 satellite mission from Copernicus, the European Union programme, to detect anomalies in olive groves and stress to plants.
Missing: Machine Learning