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

Authors

  • Yuri Sandoval Montes Carrera de Ingeniería Geográfica, Universidad Mayor de San Andrés, Bolivia. ysandoval@umsa.bo
  • Luis Ernesto Cuenca Usmayo Carrera de Ingeniería Geográfica, Universidad Mayor de San Andrés, Bolivia. ernestocuenca110@gmail.com https://orcid.org/0009-0001-5126-2137
  • Javier Nuñez Villalba *Autor de correspondencia: Carrera de Ingeniería Geográfica, Universidad Mayor de San Andrés, Bolivia. janunez@umsa.bo https://orcid.org/0000-0002-8970-3444

DOI:

https://doi.org/10.53287/oxtv8565ob98v

Keywords:

image segmentation, remote sensing, palm trees, Oenocarpus bataua, Euterpe precatoriaMart., spatial distribution, conservation

Abstract

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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Published

2025-12-26

How to Cite

Sandoval Montes, Y., Cuenca Usmayo, L. E., & Nuñez Villalba, J. (2025). 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. CIBUM SCIENTIA, 4(2), 45–59. https://doi.org/10.53287/oxtv8565ob98v

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Section

ARTÍCULOS ORIGINALES

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