使用空中LiDAR提取树参数并估计碳储存
Haoyu Tai1, Chuangjiang Rao2, Xia Li2
1Yunnan Institute of Water and Hydropower Engineering Investigation, Design Co., Ltd, Kunming, Yunnan, China.
PloS one
|August 22, 2025
概括
在空中运载的激光雷达有效估计了种植园的生物质和碳库存. 一个新的模型准确地预测胸高直径 (DBH),克服了林业碳汇评估的关键限制.
科学领域:
- 森林管理
- 遥感技术
- 生态学
背景情况:
- 森林碳汇对于实现碳中和目标至关重要.
- 种植带来了生态和经济上的好处.
- 准确的数据采集和碳库存计算在种植园是具有挑战性的.
研究的目的:
- 解决空中LiDAR在测量乳房高度直径 (DBH) 的局限性.
- 开发一种准确估计种植园中的生物质和碳库存的方法.
主要方法:
- 收集了高分辨率的空中LiDAR点云数据.
- 处理的数据包括消除噪音和地面点的分类.
- 对比了四种单独的树分段方法.
- 开发了使用冠状直径估计DBH的线性回归模型.
主要成果:
- 直接点云细分实现了树识别的最高准确性.
- 提出的线性回归模型准确地估计了DBH.
- 估计的总生物量为592,770.57公斤,碳储量为278,602.17公斤.
结论:
- 空载LiDAR与拟议的DBH估计模型相结合,可以准确评估种植园中的生物质和碳库存.
- 这种方法提高了林业碳汇研究的效率.
- 这些发现有助于更好地管理种植园以缓解气候变化.
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