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Automatic snow extent extraction in alpine environments: short and medium term 2000-2006 analysis

机译:高山环境中的自动雪程提取:短期和中期2000-2006分析

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Water resources in Northern Italy has dramatically shortened in the past 10 to 20 years, and recent phenomena connected to the climate change have further sharpened the trend. To match the observable and collected information with this experience and find methodologies to improve the water management cycle in the Lombardy Region, University of Milan Bicocca, Fondazione Lombardia per l'Ambiente and ARPA Lombardia are currently funding a project, named "Regional Impact of Climatic Change in Lombardy Water Resources: Modelling and Applications" (RICLIC-WARM). In the framework of this project, the analysis of the fraction of water available and provided to the whole regional network by the snow cover of the Alps will be investigated by means of remotely sensed data. While there are already a number of algorithms devoted to this task for data coming from various and different sensors in the visible and infrared regions, no operative comparison and analytical analysis of the advantages and drawbacks of using different data has been attempted. This idea will pave the way for a fusion of the available information as well as a multi-source mapping procedure which will be able to exploit successfully the huge quantity of data available for the past and the even larger amount that may be accessed in the future. To this aim, a comparison on selected dates for the whole 2000/2006 period was performed.
机译:在过去的10到20年里,意大利北部的水资源大幅缩短,最近与气候变化的现象进一步提高了这一趋势。为了使可观察和收集的信息与这种经验相匹配,并找到改善伦巴第地区的水管理周期的方法,米兰Biccca大学,Condazione伦巴第,兰帕丁目前正在为项目提供资金,名为“气候的区域影响伦巴第水资源的变化:建模与应用“(Riclic-Mave)。在该项目的框架中,将通过远程感测的数据调查通过阿尔卑斯山的雪覆盖的可用水分和提供给整个区域网络的分析。虽然已经有许多致力于从可见和红外区域中的各种传感器的数据致力于此任务的算法,但没有尝试使用不同数据的优点和缺点的操作比较和分析分析。这个想法将为可用信息的融合以及多源映射过程铺平道路,这将能够成功利用过去的大量数据以及未来可能访问的更大数量。为此目的,执行整个2000/2006年期间所选日期的比较。

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