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Development of a new thermal snow index and its relationship with snow cover indices and snow cover characteristic indices

机译:新的积雪指数的发展及其与积雪指数和积雪特征指数的关系

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In this study, we have developed a new thermal snow index viz. S3 thermal snow index (S3TS1) and determined its relationship with two existing thermal snow indices (i.e., normalized difference snow thermal index (NDSTI) and normalized difference thermal snow index (NDTSI)) and with snow cover indices (i.e., normalized difference snow index (NDSI) and S3) and snow cover characteristic indices (i.e., snow grain size index (SGI) and snow contamination index (SCI)) for two different sites such as hare snow cover and snow cover mixed with vegetation, respectively, based on Pearson's correlation coefficients. Whereas NDSTI uses blue band, NDTS1 incorporates NDSI, With this analogy, we have developed "S3TSI" by substituting S3 for NDSI since S3 better demarcates snow cover mixed with vegetation. The study was conducted in snow cover test sites of the Chenab basin, Western Himalayas using LANDSAT-8 Operational Land Imager and Thermal Infrared Sensor data of November 2013. The investigation revealed that S3TS1 exhibits considerably higher correlation with NDTSI and also with NDSI and S3 in either site except in the case of snow cover mixed with vegetation where NDTSI correlates better with NDSI. All the three thermal snow indices exhibit very high correlation with the snow cover indices in snow cover mixed with vegetation as compared to bare snow cover. However, the thermal snow indices show weak correlation with the snow cover characteristic indices as compared to the snow cover indices in either site. The findings demonstrate the significance of the new thermal snow index as compared to NDSTI and NDTSI.
机译:在这项研究中,我们开发了一种新的热雪指数viz。 S3热雪指数(S3TS1),并确定其与两个现有热雪指数(即归一化差异雪热指数(NDSTI)和归一化差异热雪指数(NDTSI))以及积雪指数(即归一化差异雪指数)之间的关系(NDSI)和S3)以及基于皮尔森(Pearson's)的两个不同地点(例如野兔积雪和混有植被的积雪)的积雪特征指数(即雪粒大小指数(SGI)和积雪污染指数(SCI))相关系数。 NDSTI使用蓝带,而NDTS1合并了NDSI,因此,我们用S3代替NDSI开发了“ S3TSI”,因为S3更好地划分了与植被混合的积雪。这项研究是在2013年11月使用LANDSAT-8实用陆地成像仪和热红外传感器数据在喜马拉雅山西纳布盆地的积雪测试地点进行的。调查显示,S3TS1与NDTSI以及与NDSI和S3的相关性更高。除雪覆盖与植被混合的情况(其中NDTSI与NDSI相关性更好)外,其他任何一个站点都可以。与裸露的积雪相比,这三种热积雪指数都与混有植被的积雪中的积雪指数具有很高的相关性。然而,与任一地点的积雪指数相比,热积雪指数与积雪特征指数之间的相关性较弱。研究结果表明,与NDSTI和NDTSI相比,新的热雪指数具有重要意义。

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