通过结合卫星和无人机分析来量化热带森林的碳库和树木社区组成
Kotaro Komatsu1, Ryuichi Takeshige2,3, Masanori Onishi4,5
1Graduate School of Agriculture, Kyoto University, Oiwake-cho, Kitashirakawa, Sakyo- ku, Kyoto, 606-8502, Japan. koumiwa000507@outlook.jp.
Scientific reports
|January 23, 2026
概括
无人机可以有效地估计热带森林的碳库存和生物多样性. 将无人机数据与卫星遥感集成,可显著提高监测准确性,降低成本.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 林业林业 林业 林业 林业
背景情况:
- 卫星遥感对于监测热带生态系统服务,如碳库存和生物多样性至关重要.
- 为这些服务收集地面真相数据是昂贵且耗时的.
- 无人驾驶飞行器 (UAV) 为成本效益高的数据收集提供了一个潜在的解决方案.
研究的目的:
- 开发和验证一种使用UAV-RGB图像估计地表碳 (AGC) 和生物多样性的方法.
- 评估将无人机数据纳入用于生态系统服务监测的卫星模型的影响.
- 确定无人机数据是否可以提高卫星估计的准确性,同时降低成本.
主要方法:
- 开发了一种方法来估计马来西亚森林管理单位 (FMU) 的UAV-RGB图像的AGC和生物多样性指数.
- 使用Landsat指标和在马来西亚和印度尼西亚 (395个地块) 的库存数据构建机器学习模型.
- 基于无人机的地面真相数据 (934个图表) 的添加和不添加的模型准确性比较.
主要成果:
- 没有本地库存数据的最初基于卫星的模型的准确性很低 (R2=0.43为AGC,R2=0.46为生物多样性).
- 添加基于无人机的地面真相数据显著提高了模型准确性 (R2=0.51对于AGC,R2=0.48对于生物多样性).
- 无人机数据的准确性与使用广泛的本地库存数据的模型相比较 (R2=0.53用于AGC,R2=0.60用于生物多样性).
结论:
- 整合无人机和卫星数据可以提高热带森林生态系统服务监测的准确性.
- 无人机为收集地面真相数据提供了一种具有成本效益的方法,从而降低了整体监测费用.
- 这种综合方法通过提高关键环境数据的可靠性,促进了热带森林的可持续管理.
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