首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Monitoring and Analysis of Changes in the Depth and Surface Area Snow of the Mountains in Iran Using Remote Sensing Data
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Monitoring and Analysis of Changes in the Depth and Surface Area Snow of the Mountains in Iran Using Remote Sensing Data

机译:遥感数据监测与分析伊朗山区深度和表面积雪的变化

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Considering the critical role of snowfall in water resources supply and its impacts on the environment, studying and measuring snow levels changes as one of the most important sources of water supply is very important. The purpose of this study is to monitor and analyse changes in surface area and depth of snow and changes in groundwater aquifers in Iran. For this purpose, TERRA-MODIS satellite image data for Iran were used. The timeframe of the selected images is between 2000 and 2019. Tips for selecting images are taken into account, with an average image of 3 months (January, February and March of winter) in each year. According to the results, the decreasing trend of groundwater aquifers is highly correlated with the amount of snow fall decrease in the study area at the level of 0.92%, and this decrease has been highly correlated since 2008. Average quarterly snow depth variations (January, February and March) in the study area fluctuated between 2000 and 2019, the most severe between 2007 and 2010 (with the 2009 snowfall of 41 cm). In general, a comparison of the changes in snow cover levels in the study area shows that 2005 has the highest rate (236,065/649 km(2)) while in 2007 and 2008 which has more snow cover than other years.
机译:考虑到降雪在水资源供应中的关键作用及其对环境的影响,学习和测量雪水平随着供水的最重要来源的变化是非常重要的。本研究的目的是监测和分析伊朗地下水含水层的表面积和深度的变化。为此,使用了伊朗的Terra-Modis卫星图像数据。所选图像的时间范围在2000和2019之间。考虑到选择图像的提示,每年有3个月(1月,2月和3月)的平均图像。根据结果​​,地下水含水层的降低趋势与研究区的降雪量高0.92%,自2008年以来,这一减少高度相关。平均季度雪深度变化(1月, 2月和3月)在2000年至2019年间的研究区波动,2007年至2010年间最严重(2009年的降雪41厘米)。一般而言,研究区内雪覆盖水平变化的比较显示,2005年的速度最高(236,065 / 649公里(2)),而2007年和2008年,其比其他年多年更多的雪盖。

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