Abstract：
Floods occur yearly, with great property and human life damage worldwide due to severe climate changes. Snow cover dominates the mountainous areas in winter. Therefore, the river discharge increases significantly in spring, when the snow melts gradually and is accompanied by rain this season. This study aims to evaluate the snow parameters such as snow cover, monthly average snow cover, and snowmelt from early winter to late summer 2020 by using the Terra satellite, MODIS sensor, and the FLDAS model to estimate the amount of water equivalent to snowmelt in the Google Earth Engine system for Kan basin in Tehran province. The hydrological model HEC-HMS was used for assessing the effect of snow parameters on the amount of Kan River discharge in this study. The land use map was extracted by using the image of the Sentinel-2 satellite to acquire more accuracy in this study. Finally, Sentinel-1 radar images were used to evaluate the effect of flood on the area and monitor the changes.
摘要：
每年都会发生洪水，由于严重的气候变化，世界范围内的财产和人类生命受到巨大损害。冬季，积雪占山区的主导地位。因此,春季河流流量明显增加，当雪逐渐融化并伴随着这个季节的降雨。这项研究旨在评估雪参数，如积雪，月平均积雪量,通过使用Terra卫星，从2020年初冬到夏末融雪，MODIS传感器,和FLDAS模型来估算德黑兰省Kan盆地的GoogleEarthEngine系统中相当于融雪的水量。在本研究中，水文模型HEC-HMS用于评估积雪参数对Kan河排放量的影响。在这项研究中，使用Sentinel-2卫星的图像提取了土地利用图，以获得更高的精度。最后,Sentinel-1雷达图像用于评估洪水对该地区的影响并监测变化。
