Abstract In this study, we propose a modified thresholds method for the determination of land surface emissivity (LSE) for snow covered mountainous areas. The conventional Normalized Differenced Vegetation Index (NDVI) thresholds method (NDVITHM) does not discriminate the snow covered pixels with soil pixels in assigning the LSE based on NDVI thresholds. In the proposed approach, we incorporate different thresholding rules based on the Normalized Differenced Snow Index and the S3 index for incorporating separability in the LSE for the snow covered pixels. The LSE thus derived is used to determine the land surface temperature using the Single Channel Method. The approach was evaluated for a study area around the Kullu Valley in the lower Indian Himalayas for a dataset of the winter season of Landsat-8 multispectral data. The observed coefficient of determination values indicated that the proposed method yielded better results with respect to the conventional NDVITHM approach.

中文翻译：

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使用 Landsat-8 数据评估印度 Kullu 地区周围喜马拉雅地区冬季地表温度

摘要 在这项研究中，我们提出了一种改进的阈值方法，用于确定积雪山区的地表发射率 (LSE)。传统的归一化差分植被指数 (NDVI) 阈值方法 (NDVITHM) 在基于 NDVI 阈值分配 LSE 时不区分积雪像素和土壤像素。在所提出的方法中，我们结合了基于归一化差分雪指数和 S3 指数的不同阈值规则，以在雪覆盖像素的 LSE 中结合可分离性。由此导出的 LSE 用于使用单通道方法确定地表温度。该方法针对印度喜马拉雅山脉下部库鲁​​谷周围的研究区域进行了评估，以获取 Landsat-8 多光谱数据冬季数据集。