通过整合来自多源遥感的树木高度和冠状半径来改进AGB估计
Xinyi Liu1, Lili Dong2, Shitong Li3
1College of Resource Environment and Tourism, Capital Normal University, Beijing, China.
PloS one
|October 21, 2024
概括
估计森林地表生物质 (AGB) 对于碳库存评估至关重要. 这项研究表明,从遥感数据中使用树木高度和树冠半径可以提供准确的AGB估计,特别是在混合森林中.
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:
- 准确的森林地表生物质 (AGB) 估计对于生态功能和碳库存评估至关重要.
- 使用遥感直接测量乳房高度直径 (DBH) 是一个挑战.
- 为了准确的AGB估计,需要远程传感数据的替代特征.
研究的目的:
- 为了证明使用从多源遥感 (RS) 数据中提取的冠状半径 (R) 和树高度 (H) 来估计AGB的可行性.
- 为了比较使用H,R或两者用于不同森林类型的AGB估计的全度增长方程的性能.
- 建立一种可靠的方法,用于高精度,全球范围的森林AGB估计.
主要方法:
- 利用空中激光扫描 (ALS) 和地面激光扫描 (TLS) 来生成点云来提取树的高度 (H) 和冠状半径 (R).
- 应用了九种全度增长方程,以适应针叶树 (Larix principis-rupprechtii) 和宽叶树 (Fraxinus chinensis,Sophora japonica) 的森林.
- 使用单独的H,单独的R和AGB估计的组合H+R特征来比较模型性能.
主要成果:
- 包含H和R的二次多项式模型在所有植被类型中提供了最好的AGB估计.
- 在混合高矮针叶树林中,H+R模型实现了0.9282的R2和25.30公斤的RMSE (rRMSE 17.31%).
- 使用组合H和R的模型显著优于仅使用H或R的模型.
结论:
- 使用从高分辨率遥感数据获得的树冠半径和树高度来估计森林AGB是可行的和准确的.
- 综合的H+R方法为精确的AGB量化提供了可靠的方法,这对于生态和碳库存评估至关重要.
- 这种方法支持高精度,全球范围的森林AGB估计,克服传统DBH测量的局限性.
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