HYBRID TECHNIQUE FOR DETECTION OF WATER USING SATELLITE IMAGES

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Published: Aug 28, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i7.4361
Keywords:
Remote sensing, image processing, water detection, k-means clustering, morphological segmentation

Main Article Content

HIMANSHU RANA
Punjabi University, Patiala, Punjab.
Nirvair Neeru

Abstract

The use of Satellites in remote sensing has been increased to the extent that now it becomes possible to retrieve information about changes occurring in any activity over the Earth. Remote sensing can be defined as a process of gathering and clarifying information about an object, area or phenomenon without having a physical contact with it. Meteorology, Glaciology, Geology, Agriculture, Land planning, etc. are various fields that deploy remote sensing. Presently, water detection using satellite images is one of the interesting research areas. In this research, firstly the review of the basics of remote sensing and its use for water detection has been done. A Hybrid method has been proposed which consists of k-means clustering and morphological segmentation techniques for water detection. The MATLAB tool was used to implement both techniques. The performance of proposed technique has been evaluated in terms of accuracy, specificity, and sensitivity. It has been observed that the proposed technique shows the better results.

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Vol. 8 No. 7 (2017): July-August 2017
Section
Articles

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Author Biography

HIMANSHU RANA, Punjabi University, Patiala, Punjab.

Research Scholar in Department of Computer Engineering

References

Mueller, N., Lewis, A., Roberts, D., Ring, S., Melrose, R., Sixsmith, J., Ip, A. (2016). Water observations from space: Mapping surface water from 25years of Landsat imagery across Australia. Remote Sensing of Environment, 174, 341-352. doi:10.1016/j.rse.2015.11.003

Klemas, V., & Pieterse, A. (2015). Using Remote Sensing to Map and Monitor Water Resources in Arid and Semiarid Regions. The Handbook of Environmental Chemistry, 33-60. doi:10.1007/978-3-319-14212-8_2

Madhavan, S., Qu, J. J., & Hao, X. (2017). Saharan dust detection using multi-sensor satellite measurements. Heliyon, 3(2), e00241. doi:10.1016/j.heliyon.2017.e00241

Arvind, C., Vanjare, A., Omkar, S., Senthilnath, J., Mani, V., & Diwakar, P. (2016). Flood Assessment using Multi-temporal Modis Satellite Images. Procedia Computer Science, 89, 575-586. doi:10.1016/j.procs.2016.06.017

Baeye, M., Quinn, R., Deleu, S., & Fettweis, M. (2016). Detection of shipwrecks in ocean color satellite imagery. Journal of Archaeological Science, 66, 1-6. doi:10.1016/j.jas.2015.11.006

Gierach, M. M., Holt, B., Trinh, R., Jack Pan, B., & Rains, C. (2016). Satellite detection of wastewater diversion plumes in Southern California. Estuarine, Coastal and Shelf Science. doi:10.1016/j.ecss.2016.10.012

Ovakoglou, G., Alexandridis, T. K., Crisman, T. L., Skoulikaris, C., & Vergos, G. S. (2016). Use of MODIS satellite images for detailed Lake Morphometry: Application to basins with large water level fluctuations. International Journal of Applied Earth Observation and Geoinformation, 51, 37-46. doi:10.1016/j.jag.2016.04.007

Rokni, K., Ahmad, A., Solaimani, K., & Hazini, S. (2015). A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques. International Journal of Applied Earth Observation and Geoinformation, 34, 226-234. doi:10.1016/j.jag.2014.08.014

Gupta, R., & Panchal, P. (2015). Cloud detection and its discrimination using Discrete Wavelet Transform in the satellite images. 2015 International Conference on Communications and Signal Processing (ICCSP). doi:10.1109/iccsp.2015.7322699

Sarp, G., & Ozcelik, M. (2016). Water body extraction and change detection using time series: A case study of Lake Burdur, Turkey. Journal of Taibah University for Science. doi: 10.1016/j.jtusci.2016.04.005

Saylam, K., Brown, R. A., & Hupp, J. R. (2017). Assessment of depth and turbidity with airborne Lidar bathymetry and multiband satellite imagery in shallow water bodies of the Alaskan North Slope. International Journal of Applied Earth Observation and Geoinformation, 58, 191-200. doi: 10.1016/j.jag.2017.02.012

Gerhards, M., Rock, G., Schlerf, M., & Udelhoven, T. (2016). Water stress detection in potato plants using leaf temperature, emissivity, and reflectance. International Journal of Applied Earth Observation and Geoinformation, 53, 27-39. doi:10.1016/j.jag.2016.08.004

Klemas, V. V. (n.d.). Sensors and Techniques for Observing Coastal Ecosystems. Lecture Notes in Geoinformation and Cartography, 17-44. doi:10.1007/978-3-540-88183-4_2

Yucel, D. S., Yucel, M. A., & Baba, A. (2014). Change detection and visualization of acid mine lakes using time series satellite image data in geographic information systems (GIS): Can (Canakkale) County, NW Turkey. Environmental Earth Sciences, 72(11), 4311-4323. doi:10.1007/s12665-014-3330-6

Haq, M., Akhtar, M., Muhammad, S., Paras, S., & Rahmatullah, J. (2012). Techniques of Remote Sensing and GIS for flood monitoring and damage assessment: A case study of Sindh province, Pakistan. The Egyptian Journal of Remote Sensing and Space Science, 15(2), 135-141. doi:10.1016/j.ejrs.2012.07.002

H. Rana and N. Neeru, "Water Detection using Satellite Images Obtained through Remote Sensing," Advances in Computational Sciences and Technology, vol. 10, no. 6, pp. 1923-1940, 2017.

H. Foord Owen, N. Pettorelli and C. Duncan, "Testing the water: detecting artificial water points using freely available satellite data and open source software," Remote Sensing in Ecology and Conservation published by John Wiley & Sons Ltd on behalf of Zoological Society of London, pp. 61-72, 2015.

V. Prinet, "Water Body Extraction from Multi-Source Satellite Images," Conference Paper, pp. 3970-3972, 2003.

Ö. Gürsoy, A. Birdal, F. Özyonar and E. Kasaka, "Determining and Monitoring the Water Quality of Kizilirmak River of Turkey: First Results," ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. -73, pp. 1469-1474, 2015.

J. Domínguez, C. Alonso, and A. Alonso, "Remote Sensing as a Basic Toolbox for Monitoring Water Quality Parameters and as a System of Surveillance f Cyanobacterial Harmful Algae Blooms ((SCyanoHABs)," IEEE, pp. 886-889, 2008.

Y. Wu, B. Zhang, J. Li, H. Zhang, Q. Shen and D. Wu, "A First Approach to Automatic Monitoring Procedure of Case II Water Quality From HJ-1 Satellite Images", IEEE, pp. 444-447, 2009.

A. Fernandes, "Identification of Oceanic Eddies in Satellite Images," ISVC, pp. 65-74, 2008.

M. Ijaz, A. Siyal, R. Mahar, W. Ahmed, and M. Anjum, "Detection of Hydro Morphologic Characteristics of Indus River Estuary, Pakistan, Using Satellite and Field Data," Arabian Journal for Science and Engineering, vol. 42, no. 6, pp. 2539-2558, 2017.

C. Selvi and S. Sathya, "Flood Identification Using Satellite Images," International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 3, no. 1, pp. 6497-6504, 2014.