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Hazelnut Crop Mapping with Satellite Data by cds.asal.dz is a document available to read on EtoBox.
This study analyzes the hazelnut agro-industrial context in Viterbo, Italy, utilizing multi-source satellite data to accurately map and characterize hazelnut groves. By employing a Hierarchical Random Forest algorithm and integrating data from Sentinel-1 and Sentinel-2, the researchers achieved a high classification accuracy and identified distinct geographic patterns of hazelnut cultivation. The findings promote precision agriculture strategies, enhancing sustainability and yield in this growing sector.
- Author
- cds.asal.dz
- Language
- EN