Multispectral drone imagery dataset for plus and non-plus Neltuma pallida trees in northern Peru

<i>Neltuma pallida</i> ("Algarrobo") is an endangered species native to seasonally dry forests. Preserving this species necessitates creating spatially explicit records of specimens with superior phenological traits, commonly referred to as "plus" trees, which serve as a foundation for reforestation programs. This dataset article describes a collection of multispectral images of Algarrobo trees classified as plus and non-plus, captured between January and September 2023 across the Lambayeque, Piura, and Tumbes departments in northern Peru. Sampling was conducted within forest management zones supervised by the Servicio Nacional Forestal y de Fauna Silvestre. Fieldwork included in-situ evaluation, classification, and georeferencing of specimens, followed by image acquisition using a multispectral drone at a flight altitude of 70 m. Subsequent processing isolated regions of interest corresponding to tree crowns, from which morpho-geometric parameters were extracted, summarized, and compared between tree classes. The dataset contains 500 images per class, geographically distributed across the study area, with plus trees predominantly located in Piura (70 %), Tumbes (20 %), and Lambayeque (10 %). Plus trees exhibit larger mean values for area, perimeter, and major and minor axes. The distributions of major and minor axes and equivalent diameter approximate normal distributions, differing in central tendency and dispersion between classes. However, no significant differences in roundness were observed. This database provides a foundational resource for developing classification models to distinguish between plus and non-plus <i>Neltuma pallida</i> trees, supporting conservation and reforestation efforts.

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Publication Details

Journal
Data in Brief
Published
2025-05-09
DOI
https://doi.org/10.1016/j.dib.2025.111645
Citations
1
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
1.72

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article

Multispectral drone imagery dataset for plus and non-plus Neltuma pallida trees in northern Peru

Wilson Castro, Roberto Simón Seminario Sanz, Brenda Acevedo-Juárez, William Nauray et al.
1 citations
Data in Brief
Remote Sensing in Agriculture
1.72
article

Multispectral drone imagery dataset for plus and non-plus Neltuma pallida trees in northern Peru

Wilson Castro, Roberto Simón Seminario Sanz, Brenda Acevedo-Juárez, William Nauray, Himer Ávila-George, Miguel De‐la‐Torre
article en
1 citations

Abstract

<i>Neltuma pallida</i> ("Algarrobo") is an endangered species native to seasonally dry forests. Preserving this species necessitates creating spatially explicit records of specimens with superior phenological traits, commonly referred to as "plus" trees, which serve as a foundation for reforestation programs. This dataset article describes a collection of multispectral images of Algarrobo trees classified as plus and non-plus, captured between January and September 2023 across the Lambayeque, Piura, and Tumbes departments in northern Peru. Sampling was conducted within forest management zones supervised by the Servicio Nacional Forestal y de Fauna Silvestre. Fieldwork included in-situ evaluation, classification, and georeferencing of specimens, followed by image acquisition using a multispectral drone at a flight altitude of 70 m. Subsequent processing isolated regions of interest corresponding to tree crowns, from which morpho-geometric parameters were extracted, summarized, and compared between tree classes. The dataset contains 500 images per class, geographically distributed across the study area, with plus trees predominantly located in Piura (70 %), Tumbes (20 %), and Lambayeque (10 %). Plus trees exhibit larger mean values for area, perimeter, and major and minor axes. The distributions of major and minor axes and equivalent diameter approximate normal distributions, differing in central tendency and dispersion between classes. However, no significant differences in roundness were observed. This database provides a foundational resource for developing classification models to distinguish between plus and non-plus <i>Neltuma pallida</i> trees, supporting conservation and reforestation efforts.

Data in BriefVol. 60
University of Piura (PE), Universidad de Guadalajara (MX), Centro Peruano de Estudios Sociales (PE)
Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica
Climate action
Openalex Percentile: Top 17%
Remote Sensing in Agriculture
1.72
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