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MODSNOW-Tool: an operational tool for daily snow cover monitoring using MODIS data

机译:MODSNOW-Tool:使用MODIS数据进行日常积雪监测的操作工具

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Spatially distributed snow cover information is important for the assessment of climate-related variability of water resources and for calibration and validation of hydrological models in snow-dominated regions. Near-real-time snow cover data can be valuable for short term to seasonal streamflow prediction. Such information can be extracted using remote sensing techniques with good accuracy. Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover data, meanwhile available for more than 15 years, have been shown to be useful for monitoring snow cover extent in remote areas. This data can be processed and used with only 2-day delay, which is sufficient for many water resources management purposes. However, processing remote sensing data require knowledge and computational skills to handle large amounts of data. Moreover, cloud obscuration in optical remote sensing such as MODIS may lead to data gaps. These limitations impede the use of the freely available MODIS data for water resources management in developing countries, particularly in snow-dominated mountainous regions. To overcome this, we present the all-in-one software package MODSNOW-Tool. It processes raw MODIS data and eliminates cloud cover using advanced cloud removal algorithms. The ready-to-use output of the MODSNOW-Tool is a cloud-free snow cover map and a daily report, which includes spatiotemporal snow statistics for pre-defined river basins. The accuracy of cloud-eliminated MODSNOW snow cover maps was validated for 84 almost cloud-free days in the Karadarya river basin in Central Asia, and an average accuracy of 94 % was achieved. The MODSNOW-Tool can be used in operational and nonoperational mode. In the operational mode, the tool is set up as a scheduled task on a local computer allowing automatic execution without user interaction and delivers snow cover maps on a daily basis. In the non-operational mode, the tool can be used to process historical time series of snow cover maps from MODIS.
机译:空间分布的积雪信息对于评估与气候有关的水资源变异性以及对雪域主要地区的水文模型进行标定和验证非常重要。近实时的积雪数据对于短期到季节性流量预测可能是有价值的。可以使用遥感技术以高精度提取此类信息。中分辨率成像光谱辐射仪(MODIS)的积雪数据,已有超过15年的历史,已被证明对监测偏远地区的积雪程度非常有用。可以仅延迟2天就可以处理和使用此数据,这对于许多水资源管理而言已足够。但是,处理遥感数据需要知识和计算技能来处理大量数据。此外,诸如MODIS之类的光学遥感中的云遮盖可能会导致数据缺口。这些局限性阻碍了在发展中国家,特别是在以雪为主的山区,对水资源管理使用免费的MODIS数据。为了克服这个问题,我们提供了多合一软件包MODSNOW-Tool。它处理原始的MODIS数据,并使用高级的云去除算法消除了云覆盖。 MODSNOW-Tool的即用型输出是无云的积雪地图和每日报告,其中包括针对预定义流域的时空积雪统计数据。在中亚卡拉达里亚河流域,经过84天几乎没有云的天气,消除了云的MODSNOW积雪地图的准确性得到了验证,平均准确性达到94%。 MODSNOW-Tool可以在运行和非运行模式下使用。在操作模式下,该工具被设置为本地计算机上的计划任务,无需用户干预即可自动执行,并且每天提供积雪图。在非运行模式下,该工具可用于处理来自MODIS的积雪地图的历史时间序列。

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