River Path Change Detection using Satellite Images

River path change detection is an important task in environmental monitoring and analysis. Traditional methods of detecting changes in river paths have relied on manual inspection of satellite images, which is time-consuming and prone to errors. The paper presents a computer vision-based approach for the dataset of USGS Earth Explorer is used for statistical analysis of the Krishna River path changes over 30 years from 1994 to 2023. In this study, the region of the riverbed is segmented using OTSU’s thresholding and color contour detection. Statistical features such as contour length, area, perimeter, and centroid are utilized to analyze the geographical changes and possible impact on irrigation needs.