期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：1
期号：6
页码：282-285
出版社：International Journal of Soft Computing & Engineering
摘要：Existing methods and newly developed method of monitoring snow-covered areas by optical remote sensing were evaluated using the ASTER Satellite data of Satopanth and Bhagirathi Kharak Glaciers, and Landsat satellite data of Gangotri glacier, one of the largest ice bodies in the Indian Himalayas. Snow-covered areas were identified using two methods: (1) Normalized Difference Snow Index (NDSI) which uses visible and shortwave-infrared reflectance’s, and (2) a newly proposed snow index called NDSTI which uses visible, thermal-infrared reflectance’s. NDSTI can be achieved by the ratioing of significantly distinguishing bands and normalizing those values to a standardized range will provide a sensitive and comparable test of thermal character. The NDSTI is useful for the identification of snow and ice and for separating snow/ice and most water bodies. The NDSTI is a measure of the relative magnitude of the characteristic reflectance difference between the visible and TIR reflectance of snow. A comparison between NDSI vs. NDSTI has been attempted in current investigation.
