Home   >   CSC-OpenAccess Library   >    Manuscript Information
Water-Body Area Extraction From High Resolution Satellite Images-An Introduction, Review, and Comparison
Rajiv Kumar Nath, Swapan Kumar Deb
Pages - 353 - 372     |    Revised - 20-01-2010     |    Published - 20-02-2010
Volume - 3   Issue - 6    |    Publication Date - January 2010  Table of Contents
MORE INFORMATION
KEYWORDS
Feature extraction, multi-resolution satellite image, remote sensing, water body
ABSTRACT
Water resources play an important role in region planning, natural disaster, industrial and agricultural production and so on. Surveying of water-bodies and delineate its features properly is very first step for any planning, especially for places like India, where the land-cover is dominated by water-bodies. Recording images, such as from satellite, sometimes does not reflect the distinguished characteristics of water with non-water features, e.g. shadows of super structures. Image of water body is confused easily with the shadow of skyscraper, since calm water surface induces mirror reflection when it gives birth to echo wave. Over the past decade, a significant amount of research been conducted to extract the water body information from multi-resolution satellite image. The objective of this paper is to review methodologies applied for water body extraction using satellite remote sensing. First, studies on water body detection are treated. Methodological issues related to the use of these methods were summarized. Results from empirical studies, applying water-body extraction techniques are collected and discussed. Important issues for future research are also identified and discussed.
CITED BY (42)  
1 Xie, C., Huang, X., Zeng, W., & Fang, X. (2016). A novel water index for urban high-resolution eight-band WorldView-2 imagery. International Journal of Digital Earth, 1-17.
2 Salas, E. A. L., Boykin, K. G., & Valdez, R. (2016). Multispectral and Texture Feature Application in Image-Object Analysis of Summer Vegetation in Eastern Tajikistan Pamirs. Remote Sensing, 8(1), 78.
3 Yang Shuwen, Li Yijun, Liu Tao, Yao Flower & piano (2015) A new method based on image SPOT5 automatic extraction of water body of Wuhan University: Information Science, 40 (3), 308-314.
4 Nsubuga, F. W., Botai, J. O., Olwoch, J. M., deW Rautenbach, C. J., Kalumba, A. M., Tsela, P., ... & Mearns, K. F. (2015). Detecting changes in surface water area of Lake Kyoga sub-basin using remotely sensed imagery in a changing climate. Theoretical and Applied Climatology, 1-11.
5 Sayyed, N., Joshi, P., & Wagh, C. Novel Approaches of Image Segmentation for Water Bodies Extraction.
6 Singh, H., Singh, A., & Litoria, P. K. Creation of Wetland Inventory of Kapurthala district in Punjab using Geoinformatics.
7 Arsanjani, T. J., Javidan, R., Nazemosadat, M. J., Arsanjani, J. J., & Vaz, E. (2015). Spatiotemporal monitoring of Bakhtegan Lake's areal fluctuations and an exploration of its future status by applying a cellular automata model. Computers & Geosciences, 78, 37-43.
8 Jawak, S. D., Kulkarni, K., & Luis, A. J. (2015). A Review on Extraction of Lakes from Remotely Sensed Optical Satellite Data with a Special Focus on Cryospheric Lakes. Advances in Remote Sensing, 4(03), 196.
9 Ganesan, P., Rajini, V., Sathish, B. S., & Shaik, K. B. (2015). Segmentation and Comparison of Water Resources in Satellite Images Using Fuzzy-Based Approach. In Intelligent Computing, Communication and Devices (pp. 685-692). Springer India.
10 Sharmila, T. S., Ramar, K., & Raja, T. S. R. (2014). Impact of applying pre-processing techniques for improving classification accuracy. Signal, Image and Video Processing, 8(1), 149-157.
11 Kalaivani, R. (2014). Certain investigations on the application of neural networks for river water level prediction from satellite images.
12 Senaras, C., Gedik, E., & Cetin, Y. Y. (2014, April). A new dynamic thresholding method for detection of water regions in multispectral VHR images. In Signal Processing and Communications Applications Conference (SIU), 2014 22nd (pp. 1512-1515). IEEE.
13 Xiao, X., Wdowinski, S., & Wu, Y. (2014). Improved Water Classification Using an Application-oriented Processing of Landsat ETM+ and ALOS PALSAR. International Journal of Control & Automation, 7(11).
14 Tyagi, P., & Bhosle, U. (2014). A New Comparative Study of Radiometric Correction on Satellite Images Using Kalman Filter and Levenberg Marquardt Algorithm. Advances in Image and Video Processing, 2(4), 53-65.
15 Heine, I., Francke, T., Rogass, C., Medeiros, P. H., Bronstert, A., & Foerster, S. (2014). Monitoring Seasonal Changes in the Water Surface Areas of Reservoirs Using TerraSAR-X Time Series Data in Semiarid Northeastern Brazil. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 7(8), 3190-3199.
16 Shareef, M. A., Toumi, A., & Khenchaf, A. (2014, October). Prediction of water quality parameters from SAR images by using multivariate and texture analysis models. In SPIE Remote Sensing (pp. 924319-924319). International Society for Optics and Photonics.
17 Abraham, L., & Sasikumar, M. (2014). Analysis of satellite images for the extraction of structural features. IETE Technical Review, 31(2), 118-127.
18 Song, C., Huang, B., Ke, L., & Richards, K. S. (2014). Remote sensing of alpine lake water environment changes on the Tibetan Plateau and surroundings: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 26-37.
19 Mendela, M., & Borkowski, A. (2013). Identyfikacja zbiorników wodnych, jako obiektów BDOT10K, w zbiorze danych lotniczego skaningu laserowego z wykorzystaniem algorytmu alpha shape. Acta Scientiarum Polonorum. Geodesia et Descriptio Terrarum, 12(4).
20 Deb, S. K., & Yasin, M. A. Soft Computing Techniques in Real World Situations.
21 Pegado, R. S., Barp, A. R. B., de Lima, A. M. M., Blanco, C. J. C., Roehrig, J., Coutinho, E. G., & Tostes, W. S. (2013). Geotechnologies applied to survey of river water basins in urban areas: case in Tucunduba (Belem-Para-Brazil). Water Practice & Technology, 8(2).
22 Kalaivani, R., & Thangaraj, P. (2013). An effective technique to identify a river's stage through satellite images by means of RBFNN. The Imaging Science Journal, 61(3), 279-291.
23 Raja, R. T. Sree Sharmila, K. Ramar & T. Sree.
24 Tiagrajah, V., & Win, K. (2013). SOM based segmentation method for water region detection in satellite images. World Journal of Engineering, 10(1), 95-100.
25 Gedik, E., Çinar, U., Karaman, E., Yardimci, Y., Halici, U., Pakin, K., & Ergezer, H. (2013, April). Automatic water canal detection in multispectral satellite images. In Signal Processing and Communications Applications Conference (SIU), 2013 21st (pp. 1-4). IEEE.
26 Abraham, L., & Sasikumar, M. Structural Feature Extraction from Satellite Images.
27 Arvind, C. S., Vanjare, A., Omkar, S. N., Senthilnath, J., Mani, V., & Diwakar, P. G. (2013). Multi-temporal Satellite Image Analysis Using Unsupervised Techniques. In Advances in Computing and Information Technology (pp. 757-765). Springer Berlin Heidelberg.
28 Thangaswamy, S. S., Kadarkarai, R., & Thangaswamy, S. R. R. (2013). Developing an efficient technique for satellite image denoising and resolution enhancement for improving classification accuracy. Journal of Electronic Imaging, 22(1), 013013-013013.
29 Kleine, I., Rogass, C., Medeiros, P. H., zu Erpen, N. M., Francke, T., Bronstert, A., & Förster, S. (2013, October). Comparison of approaches for water surface area segmentation using high resolution TerraSAR-X data for reservoir monitoring in a large semi-arid catchment in northeastern Brazil. In SPIE Remote Sensing (pp. 88870C-88870C). International
30 Wan, C. Y. (2013). The impact of shadow enhancement algorithms on remotely sensed images of complex urban environments (Doctoral dissertation, The Hong Kong Polytechnic University).
31 Basos, N. (2013). GIS as a tool to aid pre-and post-processing of hydrodynamic models. Application to the Guadiana estuary (Doctoral dissertation).
32 Kharbouche, S., & Clavet, D. (2013). A tool for semi-automated extraction of waterbody feature in SAR imagery. Remote Sensing Letters, 4(4), 381-390.
33 Güneralp, I., Filippi, A. M., & Hales, B. U. (2013). River-flow boundary delineation from digital aerial photography and ancillary images using Support Vector Machines. GIScience & Remote Sensing, 50(1), 1-25.
34 Kailasrao, D. N. Automatic Open Space Area Extraction and Change Detection from High Resolution Urban Satellite Images.
35 Khurshid, M. H., & Khan, M. F. (2012, October). River extraction from high resolution satellite images. In Image and Signal Processing (CISP), 2012 5th International Congress on (pp. 697-700). IEEE.
36 Basos, N., Martins, F., & Rodrigues, J. I. GIS methods to improve numerical model grids and bathymetries.
37 Choung, Y. J., Park, H. C., & Jo, M. H. Extraction of rivers and streams on the satellite images.
38 Sree Sharmila, T., & Ramar, K. (2012). Change Detection of Water-Body in Synthetic Aperture Radar Images. International Journal of Image Processing (IJIP), 6(4), 233.
39 Barry, O. (2011). Semi-Automatic Extraction of Information from Satellite Images.
40 Dasu, M. V., Anitha, V. R., Shaik, F., & Rahim, B. A. (2011). Feature Extraction of Satellite Images Using Decorrelation Stretching and Color Scatter Plots. Digital Image Processing, 3(14), 873-877.
41 Hou, B., Yang, W., Wang, S., & Jiao, L. C. (2011, September). A new visual attention-based method for water detection in SAR images. In Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on (pp. 1-2). IEEE.
42 Janahiraman, T. V. (2011). SOM based segmentation method to identify water region in LANDSAT images. International Journal of Electronics, Computer and Communications Technologies, 2(1), 13-18.
1 Google Scholar 
2 ScientificCommons 
3 Academic Index 
4 CiteSeerX 
5 refSeek 
6 iSEEK 
7 Socol@r  
8 ResearchGATE 
9 Bielefeld Academic Search Engine (BASE) 
10 OpenJ-Gate 
11 Scribd 
12 WorldCat 
13 SlideShare 
14 PDFCAST 
15 PdfSR 
A Gandhe, V Venkateswarlu and R N Gupta. “Extraction of coal under a surface water body – a Strata Control Investigation”. Journal of Rock Mech. Rock Engg vol. 38 (5), pp. 399–410, 2005.
A. G. Dekker, T. J. Malthus, M. M. Wijnen and E. Seyhan. “Remote sensing as a tool for assessing water quality in Loosdrecht lakes”. Journal of Hydrobiologia, vol. 233, pp. 137- 159, 1992.
A. Prakash and R. P. Gupta. “Land-use mapping and change detection in a coal mining area - a case study in the Jharia coalfield, India”. International Journal of Remote Sensing, vol. 19(3), pp. 391 - 410, Feb 1998.
Alecu Corina, Oancea Simona, and Bryant Emily. “Multi-resolution analysis of MODIS and ASTER satellite data for water classification”. In Proceedings of the SPIE, the International Society for Optical Engineering, San Jose CA, ETATS-UNIS 2006.
Ana Carolina Nicolosi da Rocha Gracioso, Fábio Fernando da Silva, Ana Cláudia Paris and Renata de Freitas Góes. “Gabor filter applied in supervised classification of remote sensing images”. In Symposium Proceeding of the SIBGRAPI 2005.
C. Yang, R. Duraiswami, D. DeMenthon and L. Davis. Mean-Shift Analysis Using Quasi- Newton Methods. In Proceeding of the IEEE International Conference on Image Processing, pages 447 - 450, vol.3, 2003.
C. Yang, R. Duraiswami, N. Gumerov and L. Davis. Improved Fast Gauss Transform and Efficient Kernel Density Estimation. In Proceeding of the IEEE International Conference on Computer Vision, pages 464-471, 2003.
Célia Gouveia and Carlos DaCamara. “Continuous mapping of the Alqueava region of Portugal using satellite imagery”. In Proceeding of the EUMETSAT Meteorological Satellite Conference, Helsinki, Finland, 12 - 16 June 2006.
Chulhee Lee, David Landgrebe. “Feature Extraction And Classification Algorithms For High Dimensional Data”. School of Electrical Engineering Purdue University West Lafayette, Indiana 47907-1285, TR-EE 93-1, January 1993.
Costas Armenik and Florin Savopol. “Image processing and GIS tools for feature and change extraction”. In Proceeding of the ISPRS Congress Geo-Imagery Bridging Continents, Istanbul, Turkey, July 12-13, 2004, pp. 611-616.
Cunjian Yang Cunjian Yang Rong He Siyuan Wang. “Extracting water-body from Beijing-1 micro-satellite image based on knowledge discovery”. In the Proceeding of the IEEE International Geoscience & Remote Sensing Symposium, Boston, Massachusetts, U.S.A, July 6-11, 2008.
F. M. Henderson. “Environmental factors and the detection of open surface water areas with X-band radar imagery”. International Journal of Remote Sensing, vol. 16(13), pp. 2423 – 2437, September 1995.
G M Petrie, G.E. Wukelic, C.S. Kimball,K.L. Steinmau and, D.E. Beaver. “Responsiveness of satellite remote sensing and image processing technologies for monitoring and evaluating 1993 Mississippi River flood development using ERS-1 SAR, LANDAST, and SPOT digital data”. In Proceeding of the ASPRS/ACSM, Reno, NV, 1994.
Gidudu Anthony, Hulley Greg and Marwala Tshilidzi. “Classification of images using support vector machines”. arXiv: 0709.3967v1, Cornell University, Library, 2007.
Gregg Petrie, Brain Moon, and Karen Steinmaus. “Semi-automated stream extraction at PNNL”. In proceeding of the Overwatch Geospatial Users Conference, 2008.
H. Sundar, D. Silver, N. Gagvani, S. Dickinson. “Skeleton Based Shape Matching and Retrieval”. In Proceedings of the Shape Modeling International 2003, p.130, May 12-15, 2003.
Habibullah U Abbasi, Mushtaq A Baluch and Abdul S Soomro. “Impact assessment on Mancher lake of water scarcity through remote sensing based study”. In Proceeding of GIS, Saudi Arabia.
Hafeez MM, Chemin Y, Van De Giesen, and Bouman B A M. “Field Evaporation in Central Luzon, Philippines, using different sensors: Landsat 7 ETM+, Terra Modis and Aster”. In Proceeding of the Symposium on Geospatial Theory, Processing and Applications, Ottawa, 2002.
HU Zhuowei , Gong Huili and Zhu Liying. “Fast flooding information extraction in emergency response of flood disaster”. ISPRS Workshop on Updating Geo-spatial Databases with Imagery & The 5th ISPRS Workshop on DMGISs, Urumchi, Xingjiang, China, August 28-29, 2007.
Janke, R., R. Murray, J. Uber, R. Bahadur, T. Taxon and W. Samuels, 2007. “Using TEVA to assess impact of model skeletonization on contaminant consequence assessment and sensor placement design”. In Proceeding of the World Environmental and Water Resources Congress, Tampa, FL, May 15-19.
Jean-Francois Cayula and Peter Cornillon. “Edge detection algorithm for SST algorithm”. Journal of Atmospheric and Oceanic Technology, vol. 9, pp 67-80, 1992.
Jenny M. McCarthy, Thomas Gumbricht, Terence McCarthy, Philip Frost, Konrad Wessels, and Frank Seidel. “Flooding patterns of the Okavango wetland in Botswana between 1972 and 2000”. AMBIO: A Journal of the Human Environment, vol. 32(7), pp. 453-457, November, 2003.
Kaichang Di, Ruijin Ma, Jue Wang, Ron Li. “Automatic shoreline extraction from highresolution IKONOS satellite imagery”. In Proceedings of the 2003 annual national conference on Digital government research, Boston, MA, vol.130, pp 1 – 4,2003.
Kaichang Di, Ruijin Ma, Jue Wang, Ron Li., “Coastal mapping and change detection using high-resolution IKONOS satellite imagery”. In Proceedings of the 2003 annual national conference on Digital government research, Boston, MA, vol.130, pp 1 – 4,2003.
Kefei Wand and Yifeng Zhu. “Recognition of Water Bodies from Remotely Sensed Imagery by Using Neural Network”. UNIVERSITY OF NEBRASKA - LINCOLN, CSE873 COMPUTER VISION.
L.M. Fuller, T.R. Morgan, and S.S. Aichele. “Wetland delineation with IKONOS highresolution satellite imagery, Fort Custer Training Center, Battle Creek, Michigan, 2005”. Scientific Investigations Report 2006–5051.
Leen-Kiat Soh and Costas Tsatsoulis. “Segmentation of satellite imagery of natural scenes using data mining”. IEEE Transactin On GeoScience and Remote Sensing, vol. 37(2), pp. 1086-1099, 2005.
Leif G. Olmanson, Steve M. Kloiber Patrick L. Brezonik and Marvin E. Bauer. “Use of satellite imagery for water clarity assessment of Minnesota’s 10,000 Lakes”. University of Minnesota.
Linda V. Martin Traykovski and Heidi M. Sosik. “Optical classification of Northwest Atlantic water types based on satellite ocean color data”. Biology Department, MS 32, Woods Hole Oceanographic Institution, Woods Hole, MA 02543.
Magsud Mehdiyev, Ryuzo Yokoyama and Lal Samarakoon. “DETECTION OF WATERCOVERED AREAS BY USING MODIS IMAGERY”. In Proceeding of the GeoInfo Conference, ACRS2004, Chiang Mai, Thailand, October 25-30, 2004.
Mariana Tsaneva, Doyno Petkov. “RECOGNITION OF OBJECTS ON THE EARTH'S SURFACE THROUGH TEXTURE ANALYSIS OF SATELLITE IMAGES”. In Proceeding of the Third Scientific Conference with International Participation SPACE, ECOLOGY, NANOTECHNOLOGY, SAFETY 27–29 June 2007, Varna, Bulgaria.
MARIE-CATHERINE MOUCHOT, THOMAS ALFOLDI, DANIEL DE LISLE and GREG McCULLOUGH. “Monitoring the Water Bodies of the Mackenzie Delta by Remote Sensing Methods”. ARCTIC, VOL. 44, SUPP. 1 (1991), PP. 21-28.
Nandish M. Mattikalli and Keith S. Richards. “Estimation of surface water quality changes in response to land use change: application of the export coefficient model using remote sensing and geographical information system”. Journal of Environmental Management vol. 48, pp. 263–282, 1996.
Noble I. M. Apps, R. Houghton, D. Lashoff, W. Makundi, D. Murdiyarso, B. Murray, W. Sombroek, R. Valentini, R. Lal et al. 2000. Implications of different definitions and generic issues. In: “Land Use, Land Use Change and Forestry”. IPCC Special Report, Washington, D.C., 377 pp.
O S Mudenda and E Nkonde. “The man-made satellite; an instrument of opportunity”. In CD-ROM Proceeding of the WMO Technical Conference on Meteorological and Environmental Instruments and Methods of Observation (TECO-2005) Bucharest, Romania, 4-7 May.
Ojaswa Sharma, Darka Mioc and François Anton. “Feature extraction and simplification from color images based on color image segmentation and skeletonization using the quadedge data structure”. In Proceeding of the 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2007.
Panu Nuangjumnong , Ramphing Simking. “Automatic Extraction of Road and Water Surface from SPOT-5 Pan-Sharpened Image”. In Proceeding of the Conference Map Asia, 2009.
Patricia G. Foschi, Deepak Kolippakkam, Huan Liu and Amit Mandvikar. “Feature extraction for image mining”. In Proceeding of the Multimedia Information Systems Conf., pp. 103-109, 2002.
Patrick Brezonik, Kevin D. Menken and Marvin Bauer. “Landsat-based remote sensing of lake water quality characteristics, including chlorophyll and colored dissolved organic matter (CDOM)”. Journal of Lake and Reservoir Management 21(4), pp. 373-382, 2005.
T Van de, W De Genst, F Canters, N Stephens, E Wolf, and M Binard. “Extraction of Land Use/ Land Cover-Related Information from very High Resolution Data in Urban and Suburban areas”. In proceeding of the 23rd EARSeL Annual Symposium on June 3, 2003.
Xie Chunxi , Zhang Jixian , Huang Guoman , Zhao Zheng and Wang Jiaoa. “Water body information extraction from high resolution airborne synthetic aperture radar image with technique of imaging in different directions and object-oriented”. In Proceeding of the ISPRS Congress Silk Road for Information from Imagery, Beijing, 2008, pp. 165-168.
Young-Joon Jeon, Jae-Gark Choi, and Jin-Il Kim. “A study on supervised classification of remote sensing satellite image by bayesian algorithm using average fuzzy intracluster distance”. R. K lette and J. Žunic (Eds.): IWCIA 2004, LNCS 3322, pp. 597–606, 2004.
Yuanzhi Zhang, Jouni T. Pulliainen, Sampsa S. Koponen, and Martti T. Hallikainen. “Water quality retrievals from combined Landsat TM data and ERS-2 SAR data in the Gulf of Finland”. IEEE Transaction on GEOSCIENCE AND REMOTE SENSING, 0196-2892, 2003.
Zhang Qiuwen, Wang Cheng, Shinohara Fumio, Yamaoka Tatsuo, “Automatic extraction of water body based on EOS/MODIS remotely sensed imagery”. In Proceedings of the SPIE, Volume 6786, pp. 678642, 2007.
Zhang Zhaohui, Veronique Prinet and MA Songde. “Water body extraction from multisource satellite images”. IEEE, 0-7803-7929-2/03, 2003.
Mr. Rajiv Kumar Nath
IIT Delhi - India
rajivknath@gmail.com
Dr. Swapan Kumar Deb
Department of Civil Engineering - India


CREATE AUTHOR ACCOUNT
 
LAUNCH YOUR SPECIAL ISSUE
View all special issues >>
 
PUBLICATION VIDEOS