Skip to main content

Mapping and Monitoring of Water Bodies Using Sentinel 1A Images

  • Conference paper
  • First Online:
Advanced Computational Paradigms and Hybrid Intelligent Computing

Abstract

Remote sensing is widely used for environmental monitoring including water bodies, forests and glaciers. Remote sensing technology has significant potential in the study of water bodies in terms of monitoring the distribution, change detection, and detection of contaminants. Since water resources has direct influence on various economic and developmental activities at regional and global level and further the global climatic change has prompted the regular monitoring and maintenance of water resources. Thus it is imperative to regularly monitor the spatial and temporal, changes and degradations in the water bodies. The main focus of this study is to monitor the seasonal dynamics of selected water bodies of the rural Bengaluru region with the help of Synthetic Aperture Radar (SAR) imagery of medium spatial and temporal resolution. The paper presents the processing of S-1A SAR imagery for water body mapping, extraction and determining the water surface area. The seasonal changes in water catchment area observed from the data could be correlated and validated with rainfall data and prevailing weather conditions during the period.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Usali, N., Ismail, M.H.: Use of remote sensing and GIS in monitoring water quality. J. Sustain. Dev. 3 (2010)

    Google Scholar 

  2. Swain, A.K., Das, B.: Monitoring the declination of inland water bodies of Bhubaneswar city: a geospatial approach. Int. J. Adv. Innov. Res. 6 (2019)

    Google Scholar 

  3. Musa, Z., Popescu, I., Mynett, A.: A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation. Hydrol. Earth Syst. Sci. 12, 4857–4878 (2015)

    Google Scholar 

  4. Stimson, G.W.: Introduction to Airborne Radar, 2nd ed. SciTech Publishing, Inc, USA (2014)

    Google Scholar 

  5. Du, Y., Zhang, Y.: Water bodies’ mapping from sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the SWIR band. J. Remote Sens. 8(4) (2016)

    Google Scholar 

  6. Lu, S., Wu, B., Yan, N., Wang, H.: Water body mapping method with HJ-1A/B satellite imagery. Int. J. Appl. Earth Obs. Geoinformation 13, 428–434 (2011)

    Google Scholar 

  7. Verpoorter, C., Kutser, T., Tranvik, L.: Automated mapping of water bodies using Landsat multispectral data. Limnol. Oceanogr. Methods 10(2012), 1037–1050 (2012)

    Article  Google Scholar 

  8. https://scihub.copernicus.eu/dhus/#/home

  9. Duy, N.B.: Automatic detection of surface water bodies from Sentinel 1 SAR images using valley emphasis method. Vietnam J. Earth Sci. 37, 328–343 (2015)

    Google Scholar 

  10. DeVries, W.H.B., Huang, C., Lang, M.W., Jones, J.W., Creed, I.F., Carroll, M.L.: Automated extraction of surface water extent from Sentinel-1 data. Remote Sens. 10, 797 (2018)

    Article  Google Scholar 

  11. Bioresita, F., Puissant, A., Stumpf, A., Malet, J.-P.: A method for automatic and rapid mapping of water surfaces from Sentinel-1 imager. Remote Sens. 10, 217 (2018). http://doi.org/10.3390/rs10020217

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T. R. Manjula .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Manjula, T.R., Sruthi Samyuktha, S., Navya, G., Priyanka, S., Prakash Reddy, M., Garudachar, R. (2022). Mapping and Monitoring of Water Bodies Using Sentinel 1A Images. In: Gandhi, T.K., Konar, D., Sen, B., Sharma, K. (eds) Advanced Computational Paradigms and Hybrid Intelligent Computing . Advances in Intelligent Systems and Computing, vol 1373. Springer, Singapore. https://doi.org/10.1007/978-981-16-4369-9_20

Download citation

Publish with us

Policies and ethics