模拟Eucalyptus globulus在蓝尼罗河上游盆地的空间分布,使用多光谱的Sentinel-2和环境数据
Abdurohman Yimam1,2, Asnake Mekuriaw1, Dessie Assefa3,4
1Department of Geography and Environmental Studies, Addis Ababa University, Addis Ababa, Ethiopia.
Heliyon
|October 14, 2024
概括
这项研究使用Sentinel-2数据和机器学习来模拟埃塞俄比亚Eucalyptus globulus的空间分布. 随机森林模型准确地预测了树的分布,确定了关键的环境驱动因素.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 地理空间分析的研究.
背景情况:
- 树种植园在埃塞俄比亚北部普遍存在,这引发了人们对水和营养消耗的担忧.
- 了解Eucalyptus globulus的空间分布对于评估其生态和水文影响至关重要.
研究的目的:
- 开发和验证一个模型来绘制目前的Eucalyptus globulus的空间分布.
- 确定影响欧树全球分布的关键环境因素.
主要方法:
- 用 Sentinel-2 的光谱波段,植被指数和环境数据作为预测变量.
- 采用机器学习算法:随机森林,支持矢量机器和增强的回归树.
- 通过使用AUC,kappa统计,TSS,RMSE和R2.2等指标验证模型性能.
主要成果:
- 随机森林模型在预测树球体分布方面表现最高.
- 该模型成功地检测到了非树木木质植被中的树球,R2 = 0.86和RMSE = 0.31.
- 绿色规范差异植被指数,海拔和距离道路的距离被确定为重要的预测因素.
结论:
- 机器学习算法与Sentinel-2数据和环境变量相结合,有效地模拟了Eucalyptus globulus的空间分布.
- 这些发现为有关埃塞俄比亚树种植园的明智政策和管理决策提供了有价值的数据.
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