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多光谱无人机图像数据集,用于秘鲁北部的Neltuma pallida树和非加分树

Wilson Castro¹, Roberto Seminario¹, William Nauray²

¹Facultad de Ingeniería de Industrias Alimentarias y Biotecnología, Sullana, 20100, Piura, Perú.

|June 11, 2025

概括

这项研究呈现了秘鲁临灭绝的阿尔加罗博树 ("加"树) 的多谱无人机图像. 这些数据有助于区分优质标本,用于保护和复林计划.

科学领域:

植物学和保护生物学植物学和保护生物学
遥感和地理空间分析
林业和生态林业和生态

背景情况:

危的阿尔加罗博树 (Neltuma pallida) 需要保护战略.
识别优越的现象特征 ("加上"树木) 对于重新造林至关重要.
为了有效管理,需要对这些树木的空间显式数据.

研究的目的:

为了创建Neltuma pallida树木多谱图像的数据集.
根据现象特征,将阿尔加罗博树分为"加"或"非加"类.
支持开发用于区分优质阿尔加罗博标本的模型.

主要方法:

多光谱无人机图像是为秘鲁北部的Neltuma pallida树获得的.
现场工作涉及树木的现场分类和地理参考.
图像处理从树冠中提取了形态几何参数.

主要成果:

数据集包括每个类别的500张图像 ("加"和"非加"树).
加树对面积,周边和大/小轴的平均值更大.
关键参数的分布在加和非加树之间有所不同,除了圆度.

结论:

该数据库提供了Neltuma pallida分类模型的基础数据.
这些发现支持对这个危物种的保护和重新造林工作.
地理空间和形态数据是识别生态恢复优质树木的关键.

关键词:

在阿尔加罗巴,你会看到阿尔加罗巴.森林砍伐森林砍伐森林砍伐多光谱图像图像多光谱图像尼尔图马帕利达 (英语:Neltuma pallida) 是一种白虫.再加上树的树.季节性干燥的森林季节性干燥的森林

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