Dataset: Census of individual trees of Tucunare Vichada (2020)

This dataset contains information of individual trees in Tucunare, Vichada-Colombia extracted from remote sensing imagery processed using AI models. Information from the High Resolution 1-meter Global Canopy Heights map from Meta-AI. The dataset includes a CSV file containing attributes related to t...

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Detalles Bibliográficos
Autores principales: Ruiz-Hurtado, Andres Felipe, Pérez Bolaños, Juliana, Arrechea-Castillo, Darwin Alexis, Matiz Rubio, Natalia, Costa Junior, Ciniro, Arango Mejia, Jacobo, Cardoso Arango, Juan Andres
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/163200
Descripción
Sumario:This dataset contains information of individual trees in Tucunare, Vichada-Colombia extracted from remote sensing imagery processed using AI models. Information from the High Resolution 1-meter Global Canopy Heights map from Meta-AI. The dataset includes a CSV file containing attributes related to tree dimensions and geolocation and a shapefile with polygons representing each tree Metodology:Tree information was obtained by leveraging the High-Resolution 1 m Global Canopy Height map generated by Meta's AI model, trained on a large dataset of satellite images and LIDAR data, to predict canopy heights with a mean absolute error of 2.8 meters. The map tiles were downloaded from Amazon Web Services (AWS) S3 Bucket and processed using additional steps: merging and clipping tiles to cover the region of interest of Tucunare, vectorizing, filtering, and georeferencing individual trees to derive attributes like area, perimeter, equivalent diameter, and circularity representing the visual crown of each tree, and finally applying zonal statistics to assign tree height values. The resulting vector layer contains detailed tree metrics, supporting advanced canopy analysis.