利用商业卫星图像重建 3 米和每日春季雪水当量

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Justin M. Pflug, Kehan Yang, Nicoleta Cristea, Emma T. Boudreau, Carrie M. Vuyovich, Sujay V. Kumar
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引用次数: 0

摘要

由于建模和观测方面的限制,很难估算精细空间尺度(≤10 米)上的雪水当量(SWE)分布。然而,整个春季融雪季节的雪水当量分布往往与积雪消失的时间相关。在此,我们展示了由 PlanetScope 的鸽子卫星星座生成的积雪覆盖图,该图可确定加利福尼亚州和科罗拉多州七个高山地区的 3 米积雪消失日期。在 5 年时间内(2019-2023 年),积雪消失日期的平均不确定性为 3 天,即从观测到积雪覆盖的最后日期到观测到积雪消失的第一个日期之间的时间段。利用基于短波的简单融雪模型对附近的雪枕进行校准,PlanetScope 的积雪消失日期可用于重建春季的 SWE。相对于激光雷达 SWE 估计值,SWE 重建的空间相关系数为 0.75,SWE 空间变化平均偏差为 9%。然后,通过校准融雪率以跟踪 PlanetScope 观测到的部分积雪覆盖率的春季时间演变,包括整个建模域的部分积雪覆盖率以及融雪率可能不同的域分段的部分积雪覆盖率,将 SWE 重建的偏差平均改善到 0.04 米以内。这项研究证明了雪盖精细尺度和高频光学观测的实用性,以及在有季节性积雪的地区,雪盖与春季雪水资源之间简单且每年可重复的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Commercial Satellite Imagery to Reconstruct 3 m and Daily Spring Snow Water Equivalent
Snow water equivalent (SWE) distribution at fine spatial scales (≤10 m) is difficult to estimate due to modeling and observational constraints. However, the distribution of SWE throughout the spring snowmelt season is often correlated to the timing of snow disappearance. Here, we show that snow cover maps generated from PlanetScope's constellation of Dove Satellites can resolve the 3 m date of snow disappearance across seven alpine domains in California and Colorado. Across a 5-year period (2019–2023), the average uncertainty in the date of snow disappearance, or the period of time between the last date of observed snow cover and the first date of observed snow absence, was 3 days. Using a simple shortwave-based snowmelt model calibrated at nearby snow pillows, the PlanetScope date of snow disappearance could be used to reconstruct spring SWE. Relative to lidar SWE estimates, the SWE reconstruction had a spatial coefficient of correlation of 0.75, and SWE spatial variability that was biased by 9%, on average. SWE reconstruction biases were then improved to within 0.04 m, on average, by calibrating snowmelt rates to track the spring temporal evolution of fractional snow cover observed by PlanetScope, including fractional snow cover over the full modeling domain, and across domain subsections where snowmelt rates may differ. This study demonstrates the utility of fine-scale and high-frequency optical observations of snow cover, and the simple and annually repeatable connections between snow cover and spring snow water resources in regions with seasonal snowpack.
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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