Segmentation assessment in drone images for identification of majo (Oenocarpus bataua), asai (Euterpe precatoriaMart.) and common palm tree (Phoenix dactylifera) in three communities of the municipality of San Buenaventura
DOI:
https://doi.org/10.53287/oxtv8565ob98vKeywords:
image segmentation, remote sensing, palm trees, Oenocarpus bataua, Euterpe precatoriaMart., spatial distribution, conservationAbstract
The lack of information on the spatial distribution of majo (Oenocarpus bataua), asai (Euterpe precatoriaMart.) and common date palm (Phoenix dactylifera) hinders their conservation and sustainable management. This study aimed to determine said distribution through segmentation techniques, evaluating the precision of three softwares to identify the most effective tool. eCognition achieved superior geometric precision (minimum PSE: 0.021), effectively adjusting the limits of the leaf crowns, which allowed to quantify the species of majo “15 in San Silvestre, 10 in UMSA-Tumupasa and 250 in El Infierno”, asai “444 in El Infierno” and common date palm “84 in San Silvestre, 123 in UMSA-Tumupasa and 229 in El Infierno”.
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Copyright (c) 2025 Yuri Sandoval Montes, Luis Ernesto Cuenca Usmayo, Javier Nuñez Villalba
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