首页> 外文期刊>Journal of Applied Remote Sensing >Application of moderate resolution imaging spectroradiometer snow cover maps in modeling snowmelt runoff process in the central Zab basin, Iran
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Application of moderate resolution imaging spectroradiometer snow cover maps in modeling snowmelt runoff process in the central Zab basin, Iran

机译:中分辨率成像分光辐射计雪盖图在伊朗中部扎布盆地融雪径流过程模拟中的应用

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摘要

Snow, as one form of precipitation, plays a very significant role in the water cycle and in water resource management. However, the spatial and temporal variations in snow cover complicate the monitoring of this role. Field measurements, especially in mountainous areas, are often impossible without the use of new technologies. In this study, moderate resolution imaging spectroradiometer (MODIS) at 500-m resolution has been used to provide a map of snow cover area (SCA) using the normalized difference snow index in the central Zab basin in West Azerbaijan, Iran. Eight-day composite data are used to minimize the effect of cloud cover and maximize the amount of useable SCA images. The importance of snow in this basin was simulated using a snowmelt runoff model (SRM) as one of the major applications of daily MODIS-8 images based on various algorithms. The location of snow gauge stations on digital elevation model (DEM) of central Zab basin extracted from advanced space borne thermal emission and reflection radiometer images by using bilinear interpolation method. The SCA index, along with spectral threshold on bands 2 and 4, provided a stable relationship for extraction of the snow cover map in the study area. The simulated flow in the water year 2010 to 2011 had a coefficient of determination (R-2) of 0.8953 and a volume difference (D upsilon) of 0.1498%, which shows a good correlation between the measured and computed runoff by using the SRM in the central Zab basin. The first results of the modeling process show that MODIS snow covered area product can be used for simulation and measuring value of snowmelt runoff in central Zab basin. The studies found that the SCA results were more reliable in the study area. (c) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication
机译:雪作为降水的一种形式,在水循环和水资源管理中起着非常重要的作用。然而,积雪的时空变化使监测这一作用变得复杂。如果不使用新技术,通常不可能进行现场测量,尤其是在山区。在这项研究中,使用伊朗西阿塞拜疆中部Zab盆地的归一化差异降雪指数,使用500 m分辨率的中分辨率成像光谱仪(MODIS)提供了积雪面积(SCA)的地图。使用八天的合成数据来最大程度地减少云层覆盖的影响并最大化可用SCA图像的数量。使用融雪径流模型(SRM)模拟流域积雪的重要性,该模型是基于各种算法的每日MODIS-8图像的主要应用之一。利用双线性插值方法从先进的星载热辐射和反射辐射计图像中提取的Zab盆地中部数字高程模型(DEM)上的雪轨站位置。 SCA指数以及频带2和4上的光谱阈值为研究区域积雪图的提取提供了稳定的关系。在2010年至2011年水域中,模拟流量的确定系数(R-2)为0.8953,体积差(D upsilon)为0.1498%,这表明通过使用扎布盆地中部。建模过程的最初结果表明,MODIS积雪区产品可用于模拟和测量Zab盆地中部融雪径流的值。研究发现,SCA结果在研究区域内更为可靠。 (c)作者。由SPIE根据Creative Commons Attribution 3.0 Unported License发布。发行或复制本作品的全部或部分,需要对原始出版物进行完全归类

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