论文标题
来自开放式的多模式数据来源的主要山区水盆中的积雪估算
Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources
论文作者
论文摘要
准确地估算主要山区盆地中的积雪对于水资源经理制定影响当地和全球经济，野生动植物和公共政策的决策至关重要。目前，此估计需要多个配备LIDAR的飞机飞行或原位测量值，两者均昂贵，稀疏且偏向可访问的区域。在本文中，我们证明了来自多个，公开可用的卫星和天气数据源的空间和时间信息的融合，可以估算关键山区的积雪。我们的多源模型的表现优于单源估计值5.0英寸RMSE，并且优于稀疏的原位测量值的估计值1.2英寸RMSE。
Accurately estimating the snowpack in key mountainous basins is critical for water resource managers to make decisions that impact local and global economies, wildlife, and public policy. Currently, this estimation requires multiple LiDAR-equipped plane flights or in situ measurements, both of which are expensive, sparse, and biased towards accessible regions. In this paper, we demonstrate that fusing spatial and temporal information from multiple, openly-available satellite and weather data sources enables estimation of snowpack in key mountainous regions. Our multisource model outperforms single-source estimation by 5.0 inches RMSE, as well as outperforms sparse in situ measurements by 1.2 inches RMSE.
