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首页> 外文会议>IEEE Congreso Bienal de Argentina >Wet snow detection in Patagonian Andes with Sentinel-1 SAR temporal series analysis in GEE
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Wet snow detection in Patagonian Andes with Sentinel-1 SAR temporal series analysis in GEE

机译：湿雪探测在巴塔哥尼亚州的雪橇犬和塞内尔-1 SAR时间序列分析

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摘要

Winter snow packs in the Argentinean Andes are the primary source of surface runoff and water supply in the adjacent lowlands. The socioeconomic, environmental, and recreational benefits provided by the mountain snow packs are enjoyed by over 10 million people. Monitoring the spatial and temporal changes of seasonal snow cover helps to predict and mitigate floodings, avalanches, frost damage, among other hazards. It can also help estimating the supply for human consumption fresh water, irrigation and hydropower stations, and may contribute to the improvement of weather forecasts and the understanding of the climate system. This study is a first approach for evaluating and detecting changes in Argentinean Andes snow packs through temporal series of Sentinel-1 SAR images using the data available in Google Earth Engine (GEE). Additionally, the products of applying a wet snow mapping algorithm with images obtained in GEE, and the same images but pre-processed in SNAP coregistrating the images, were compared in order to assess the commission and omission classification errors.
机译：阿根廷人冬天的雪包是邻近的低地表面径流和供水的主要来源。山地雪包提供的社会经济，环境和娱乐益处享有超过1000万人。监测季节性雪覆盖的空间和时间变化有助于预测和减轻洪水，雪崩，霜冻损伤以及其他危害。它还可以帮助估算人类消费淡水，灌溉和水电站的供应，并可能有助于改善天气预报和对气候系统的理解。本研究是通过使用Google地球发动机（GEE）中可用的数据的临时系列Sentinel-1 SAR图像进行评估和检测Argentinean Andes Snow包中的变化的第一方法。另外，比较了使用在GEE中获得的图像的湿雪地映射算法以及在SNAP COREGISTRATION的图像中获得的图像，以评估委员会和遗漏分类错误。

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