通过地理空间环境和远程传感数据检测Peatland温室气体汇和来源的空间模式
Priscillia Christiani1, Parvez Rana2, Aleksi Räsänen2
1Natural Resources Institute Finland (Luke), Oulu, Finland. priscillia.christiani@luke.fi.
Environmental management
|April 2, 2024
概括
准确地绘制泥炭地中的温室气体 (GHG) 沉积点和来源,需要将地理空间环境数据与卫星遥感数据相结合. 仅仅依靠遥感数据就能为气候变化缓解努力提供不太可靠的预测.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 气候变化研究 气候变化研究
背景情况:
- 泥炭地是主要温室气体 (GHG) 的关键调节者:甲 (CH4),二氧化碳 (CO2) 和氧化 (N2O).
- 了解泥炭地中的温室气体汇和来源的空间分布对于有效的基于土地使用的气候变化缓解战略至关重要.
- 地缘空间环境数据提供了洞察力,但卫星遥感数据用于预测温室气体模式的实用性仍未得到充分探索.
研究的目的:
- 预测甲,二氧化碳和二氧化的空间分布,以及芬兰各地的氧化和来源.
- 用机器学习来比较地理空间环境数据,遥感数据和两者组合的预测准确度.
主要方法:
- 为模型培训和验证使用了143个现场测量.
- 采用MaxEnt机器学习建模来预测温室气体的空间模式.
- 将三个数据集进行比较:地理空间环境数据 (气候,地形,息地),遥感数据 (哨兵-1,哨兵-2),以及一个组合数据集.
主要成果:
- 综合数据集实现了最高的预测准确性 (平均测试AUC0.845,稳定性AUC0.928).
- 仅仅地理空间环境数据的准确性略低 (测试AUC为0.810,稳定性AUC为0.924).
- 仅远程传感数据就导致预测准确性降低 (测试AUC0.763,稳定性AUC0.927).
结论:
- 只有使用遥感数据,无法对泥炭地中的温室气体汇和来源进行可靠的估计.
- 整合多个数据源,特别是地理空间环境和遥感数据,对于准确的温室气体空间模式预测至关重要.
- 这种方法支持土地利用部门的明智气候变化缓解战略.
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