Detection of Water Level in Lakes using Satellite Images

Volume 4 Issue 1 January - March 2017

Research Paper

Detection of Water Level in Lakes using Satellite Images

S. Priyanka*, M. Narayana**

* PG Student, Department of Electronics and Communication Engineering, Jayaprakash Narayan College of Engineering, Telangana, India.

** Professor & Head, Department of Electronics and Communication Engineering, Jayaprakash Narayan College of Engineering, Telangana, India.

Priyanka, S., and Narayana, M. (2017). Detection of Water Level in Lakes using Satellite Images. i-manager’s Journal on Image Processing, 4(1), 23-32. https://doi.org/10.26634/jip.4.1.13521

Abstract

The objective is to estimate change in water level of lakes using satellite images. High resolution images provided by Landsat satellites are collected and passed through an image processing stage for calculating the lake properties such as Area and Perimeter. The images used in this paper are obtained from the USGS website. All the selected images are cloud free. In this paper, changes in water level are observed by calculating the areas and perimeters of four different lakes in two different times, using satellite images. These satellite images were acquired by Thematic Mapper on the Landsat5 and the Operational Land Imager (OLI) on Landsat 8. To detect the changes, image is classified into two classes, namely land and water. Thus, lake surface and surrounding ground were precisely separated. Then Perimeter (boundary) and Area of the lake are calculated. Area is computed by enumerating black colored pixels and Perimeter by enumerating edges of the lake, i.e. image gradient vector, gives the perimeter of the lake. The Area and Perimeter of the lake change as the water level changes.