了解地中海山区松树种植园的脱叶情况,使用树木细分和ALS时间序列
Ma Ángeles Varo-Martínez1, Rafael Ma Navarro-Cerrillo2
1Department of Forestry Engineering - University of Cordoba. Edf. Leonardo da Vinci. University of Cordoba, Crta. IV, km. 396, 14071, Córdoba, Spain.
Journal of environmental management
|November 2, 2025
概括
空载激光扫描 (ALS) 能够有效地检测气候影响导致森林逐渐减少的情况. 这项技术有助于了解森林健康状况,并支持松树种植地的适应性管理策略.
科学领域:
- 林业林业 林业 林业 林业
- 遥感 遥感 遥感 遥感
- 生态生态学 生态生态学
背景情况:
- 森林减少是越来越令人担忧的各种规模.
- 传统的遥感方法很难检测干旱或害虫等因素造成的逐渐下降.
- 森林树冠和结构的微妙变化很难监测.
研究的目的:
- 用时间序列空中激光扫描 (ALS) 数据来探索气候驱动的松树脱叶.
- 评估ALS在检测松树种植园中森林逐渐减少方面的能力.
- 确定时间脱叶趋势及其与环境驱动因素的关系.
主要方法:
- 使用了2008年,2013年和2018年的时间序列ALS数据,用于Pinus sylvestris和P. nigra种植园.
- 使用非参数方法 (k-NN, RF, NN) 来得森林属性 (树木细分,高度,脱叶).
- 使用核密度估计 (SKDE) 来分析脱叶模式和趋势.
主要成果:
- 在树木细分,高度估计和脱叶评估方面取得了高准确性.
- 确定了脱叶程度,森林属性和气候变量之间的显著关系.
- 证明ALS在捕捉逐渐森林衰退方面的有效性.
结论:
- 基于ALS的方法适用于监测微妙的森林变化和逐渐下降.
- 结果提供了对推动森林健康的生态过程的见解.
- 支持适应性森林管理策略,以增强森林在空间和时间上的弹性.
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