Extraction and analysis of snow covered area from high resolution satellite imageries using K-means clustering

Numerous environmental issues are being faced by the world today as a result of unfavorable climate changes brought on by global warming and other man-made factors, as well as natural earth imbalances. Consequently, the temperature is rising every day, and as a result of the melting of land, snow, or ice sheets, the world's sea levels are rising. One of the largest difficulties we have is the rising rates of melting of land-based snow and ice sheets, which we must regulate or address as soon as feasible. So, utilizing a few digital image processing techniques and a few other geospatial techniques applied to high resolution snow-covered satellite photos, an effort is made in this work to research and build a system that can extract the snow-covered area using K-means clustering. Using temporal satellite imageries, this work went further to investigate and comprehend changes in snow-covered Himalayan ranges from the years 1984 to 2022.