River extraction from satellite image

Satellite image processing plays a cr ucial role for the research developments in many fields of study including Astronomy, Remote Sensing, GIS, Agriculture Monitoring and Disaster Management. The remote sensing images are utilized in many of the researches with the aim of predicting natural disasters so that essential precautions can be taken to protect the environment. Besides the other, the water resource analysis plays a vital role in these researches. Traditionally, lots of methods are utilized for the analysis and determine some resources like water which are becoming extinct in nature. In this work, the methods like edge detection, thresholding, image erosion and other color and feature extraction algorithms are presented to extract water content (river). The algorithms used here includes, K means clustering algorithm, Hill Climbing Algorithm, Color histogram and image thresholding. Here, the condition of river like normal, drought or flood is also predicted by visual inspection of the processed satellite image.