Skip to main content

Advertisement

SpringerLink
Log in

Three Decades of Indian Remote Sensing in Coastal Research

  • Review Article
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

The launch of the first Indian Remote Sensing Satellite in 1988 ushered in a new era of utilization of satellite data and technology in natural resources monitoring, coastal area management, disaster mitigation, weather and climate change studies. India with its very long coast line, areal extent, resources and population would have been a huge challenge to the coastal researchers and administrators if not for the Indian Remote Sensing satellite data that provided the much needed temporal, thematic information for effective mapping, monitoring and management of the coastal areas. The country’s large and diverse coastal regions  are economically important and ecologically rich but also extremely vulnerable and highly prone to natural and anthropogenic hazards. Through the last three decades, the Indian remote sensing programme has contributed immensely to our understanding of the coast and ocean processes, coastal ecosystems, habitats, marine pollution and the vulnerability of the coast to natural hazards. IRS-1C with its improved spatial resolutions, additional spectral band, improved repetitively ushered in a new era of research specifically in the management of coastal areas and resources. Availability of spatial data at various resolutions, low cost, advances in technology resulted in new applications for management coastal areas. IRS-1C also can be aptly termed as the precursor for thematic satellite series such as OCEANSAT, RESOURCESAT and CARTOSAT, thereby setting the environs for thematic research in coastal areas. Integrated utilization of remote sensing data, numerical models, GIS and GPS has paved the way for the development of operation systems for management of coastal areas, thereby realizing the vision of Dr. Vikram Sarabhai, the father of Indian Space Programme, of building a self-reliant and indigenous Space Programme for the betterment of quality of life of the common people.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • An integrated approach to assess the biophysical vulnerability of coastal areas (Andhra Pradesh, Odisha, Maharastra)—a fesibility study. (2016). submitted to UNDP, National Centre for Coastal Research, Ministry of Earth Sciences.

  • Bahuguna, A., & Nayak, S. (1998). Remote sensing applications for monitoring coral reefs. In Proceedings of the symposium on status and protection of coral reefs (STAPCOR), pp. 11–13.

  • Bahuguna, A., Nayak, S., & Roy, D. (2008). Impact of the tsunami and earthquake of 26th December 2004 on the vital coastal ecosystems of the Andaman and Nicobar Islands assessed using RESOURCESAT AWiFS data. International Journal of Applied Earth Observation and Geoinformation, 10(2), 229–237.

    Article  Google Scholar 

  • Chauhan, P., & Nayak, S. (1995). Shoreline change—mapping from space: A case study on the Indian Coast. In International Workshop on International Mapping from Space, IRS & ISPRS WG IV/2, pp. 130–140.

  • Chauhan, P., Nagur, C. R. C., Mohan, M., Nayak, S. R., & Navalgund, R. R. (2001). Surface chlorophyll-a distribution in Arabian Sea and Bay of Bengal using IRS-P4 Ocean Colour Monitor satellite data. Current Science, 80(2), 127–129.

    Google Scholar 

  • Chauhan, P., Sahay, A., Rajawat, A. S., & Nayak, S. (2003). Remote sensing of diffuse attenuation coefficient (K490) using IRS-P4 Ocean Colour Monitor (OCM) sensor. Indian Journal of Geo-Marine Sciences, 32(4), 279–284.

    Google Scholar 

  • Chauhan, P., & Raman, M. (2017). Satellite remote sensing for ocean biology: an Indian perspective. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 87(4), 629–640. https://doi.org/10.1007/s40010-017-0439-5

    Article  Google Scholar 

  • CRZ Gazette, Retrieved February 13, 2021 from http://egazette.nic.in/WriteReadData/2019/195679.pdf

  • Desai, P. S., Narain, A., Nayak, S. R., Manikiam, B., Adiga, S., & Nath, A. N. (1991). IRS-1A applications for coastal and marine resources. Current Science, 61(3), 204–208.

    Google Scholar 

  • Fingas, M., & Brown, C. E. (2018). A review of oil spill remote sensing. Sensors, 18(1), 91.

    Google Scholar 

  • Ghosh, S., & Nayak, S. (2019). Development of India’s first integrated expert urban flood forecasting system for Chennai. Current Science, 117(5), 741–745.

    Google Scholar 

  • Hafeez, S., Wong, M. S., Abbas, S., Kwok, C. Y., Nichol, J., Lee, K. H., & Pun, L. (2018). Detection and monitoring of marine pollution using remote sensing technologies. Monitoring of Marine Pollution. IntechOpen.

  • Hegde, V. S., Nayak, S., Honne Gowda, H., Ganesh Raj, K., Kishore, R. N., Jayaraman, V., & Chandrasekhar, M. G. (1997). The contribution of IRS-IC to coastal monitoring and ocean dynamic studies. United Nations Programme on Space Applications, 8, 113.

    Google Scholar 

  • IUCN. (1976). Regional Meeting on the Creation of a Coordinated System of National Parks and Reserves in Eastern Africa, Proceedings of 1974 meeting published by IUCN.

  • Iyyappan, M., Usha, T., Ramakrishnan, S. S., Raju, K. S., Gopinath, G., Selvan, S. C., & Mishra, P. (2018). Evaluation of tsunami inundation using synthetic aperture radar (SAR) data and numerical modeling. Natural Hazards, 92(3), 1419–1432.

    Article  Google Scholar 

  • Jayanthi, M., Thirumurthy, S., Samynathan, M., Manimaran, K., Duraisamy, M., & Muralidhar, M. (2020). Assessment of land and water ecosystems capability to support aquaculture expansion in climate-vulnerable regions using analytical hierarchy process based geospatial analysis. Journal of Environmental Management, 270, 110952.

    Article  Google Scholar 

  • Jayanthi, M., Ravisankar, T., Nagaraj, G., Thirumurthy, S., Muralidhar, M., & Saraswathy, R. (2019). Is aquaculture abandonment a threat to sustainable coastal resource use?–a case study of Andhra Pradesh, India, with options for reuse. Land Use Policy, 86, 54–66.

    Article  Google Scholar 

  • Jayanthi, M., Thirumurthy, S., Muralidhar, M., & Ravichandran, P. (2018). Impact of shrimp aquaculture development on important ecosystems in India. Global Environmental Change, 52, 10–21.

    Article  Google Scholar 

  • Jayanthi, M., Nila Rekha, P., Kavitha, N., & Ravichandran, P. (2006). Assessment of impact of aquaculture on Kolleru Lake (India) using remote sensing and Geographical Information System. Aquaculture Research, 37(16), 1617–1626.

    Article  Google Scholar 

  • Kankara, R. S., Selvan, S. C., Rajan, B., & Arockiaraj, S. (2014). An adaptive approach to monitor the Shoreline changes in ICZM framework: a case study of Chennai coast. Indian Journal of Geo-Marine Sciences, 43(7), 1266–1271.

    Google Scholar 

  • Kankara, R. S., Selvan, S. C., Markose, V. J., Rajan, B., & Arockiaraj, S. (2015). Estimation of long and short term shoreline changes along Andhra Pradesh coast using remote sensing and GIS techniques. Procedia Engineering, 116, 855–862.

    Article  Google Scholar 

  • Kankara, R. S., Ramanamurthy, M. V., & Rajeevan, M. (2018). National Assessment of Shoreline changes along Indian Coast: Status report for 26 years 1990–2016. https://www.indiaspend.com/wp-content/uploads/2018/11/National-Assessment-of-Shoreline-Changes-NCCR-report.pdf

  • Kankara, R. S., Ramana Murthy, M. V., & Rajeevan, M. (2018). National assessment of shoreline changes along Indian Coast—a status report for 1990–2016, NCCR Publication, 2018, Available at NCCR Web site http://www.nccr.gov.in

  • Kumar, T. S., Mahendra, R. S., Nayak, S., Radhakrishnan, K., & Sahu, K. C. (2010). Coastal vulnerability assessment for Orissa State, east coast of India. Journal of Coastal Research, 263, 523–534.

    Article  Google Scholar 

  • Kumar, A. S., Aparna, N., & Nayak, S. R. (2020). Remembering IRS-1C mission: the “game changer” of Indian earth observation program. Journal of the Indian Society of Remote Sensing, 49(2), 1–14.

    Google Scholar 

  • Madeswaran, P., Ramana Murthy, M. V., Rajeevan, M., Ramanathan, V., Sivaji, P., Sivasdas, S. K., Boopathi, T., Durga Bharathi, M., Anuradha, V., & Muthukumar, C. (2018). Status report: seawater quality at selected locations along Indian Coast. NCCR Publication, 2018, p.177, Available at NCCR’s Web site at http://www.nccr.gov.in

  • Mishra, P., Usha, T., & Ramanamurthy, M. V. (2014). Evaluation of tsunami vulnerability along northeast coast of India. Continental Shelf Research, 79, 16–22.

    Article  Google Scholar 

  • Misra, T. (2017). Indian remote sensing sensor system: current and future perspective. Proceedings of the National Academy of Sciences, India Section A Physical Sciences, 87, 473–486.

    Article  Google Scholar 

  • Nayak, S. (2017). Coastal zone management in India—present status and future needs. Geo-spatial Information Science, 20(2), 174–183.

    Article  Google Scholar 

  • Navalgund, R. R. (2006). Indian earth observation system: an overview. Asian Journal of Geoinformatics, 6(1), 17–25.

    Google Scholar 

  • Nayak, S. (2020). Remote sensing for national development: the legacy of Dr. Vikram Sarabhai. Journal of the Indian Society of Remote Sensing, 48, 1101–1120.

    Article  Google Scholar 

  • Nayak, S., & Bahuguna, A. (2008). Application of remote sensing for damage assessment of coastal ecosystems in India due to the December 2004 tsunami. Remote sensing and GIS technologies for monitoring and prediction of disasters (pp. 37–56). Springer, Berlin, Heidelberg.

  • Nandy, S., & Kushwaha, S. P. S. (2011). Study on the utility of IRS 1D LISS-III data and the classification techniques for mapping of Sunderban mangroves. Journal of Coastal Conservation, 15(1), 123–137.

    Article  Google Scholar 

  • Nayak, S. R., & Sahai, B. (1985). Coastal morphology: a case study of the Gulf of Khambhat (Cambay). International Journal of Remote Sensing, 6(3–4), 559–567.

    Article  Google Scholar 

  • Nayak, S. R., Bahuguna, A., Shaikh, M. G., Chauhan, H. B., & Rao, R. S. (1992). Application of IRS data for brackish water aquaculture site selection. Proceedings of the National Symposium on Remote Sensing for Sustainable Development (pp. 395–399).

  • Nayak, S., Chauhan, P., Chauhab, H. B., Bahuguna, A., & Narendra Nath, A. (1996). IRS-1C applications for coastal zone management. Current Science, 70(7), 614–618.

    Google Scholar 

  • Nayak, S., Usha, T., Kankara, R. S., & Reddy, N. T. (2012). Tsunami inundation modeling and mapping using ALTM-and CARTOSAT-derived coastal topographic data. Marine Geodesy, 35(4), 429–440.

    Article  Google Scholar 

  • Nayak, S., Bahuguna, A., Deshmukh, B., Shah, D. G., Dhargalkar, V. K., Jagtap, T. G., & Patel, B. H. (2003). Eco-morphological zonation of selected coral reefs of India using remotely sensed data (p. 109). Scientific Note.

    Google Scholar 

  • Nayak, S. R., Bahuguna, A., Shah, D. G., Dhargalkar, V. K., Jagtap, T. G., Rout, D. K., Behera, G., Bhattacharya, S., Bandopadhyay, T., Raman, A. V., & Sounderajan, R. (2003). Community zonation of selected mangrove habitats of India using satellite data. Scientific note, space applications centre, Ahmedabad, July 2003, p. 108. SAC/RESIPA/MWRG/MSCED/SN/17.

  • Praveen, S. S., Kurian, N. P., & Hameed, T. S. S. (2013). Tsunami inundation modelling for the Coast of Kerala, India. Marine Geodesy, 36(1), 86–97.

    Article  Google Scholar 

  • Ramanamurthy, M. V., Sundaramoorthy, S., Pari, Y., Rao, V. R., Mishra, P., Bhat, M., Usha, T., Venkatesan, R., & Subramanian, B. R. (2005). Inundation of sea water in Andaman and Nicobar Islands and parts of Tamil Nadu coast during 2004 Sumatra tsunami. Current Science, 88(11), 1736–1740.

    Google Scholar 

  • Ramana Murthy, M. V., Usha, T., Pari, Y., & Reddy, N. T. (2011). Tsunami vulnerability assessment of Cuddalore using numerical model and GIS. Marine Geodesy, 34(1), 16–28.

    Article  Google Scholar 

  • Ramesh, C. H., Koushik, S., Shunmugaraj, T., & Murthy, M. V. R. (2020). Seasonal studies on in situ coral transplantation in the Gulf of Mannar Marine Biosphere Reserve, Southeast coast of Tamil Nadu India. Ecological Engineering, 152, 105884.

    Article  Google Scholar 

  • Sarabhai, V. (1974). Remote Sensing in the service of developing countries. Science policy and national development—Vikram Sarabhai (pp. 66–81). Macmillan.

  • Sathasivam, S., Rasheed, K., Kankara, R. S., Muthusamy, M., Samykannu, A., & Boopati, R. (2015). SSC analysis of south Maharashtra coast: a case study from Vengurla coastal region. Aquatic Procedia, 4, 19–24.

    Article  Google Scholar 

  • Seawater quality at selected locations along Indian Coast- status report (1990–2015). (2018). National Centre for Coastal Research, Ministry of Earth Sciences.

  • Selvan, S. C., & Kankara, R. S. (2016). Tsunami model simulation for 26 December 2004 and its effect on Koodankulam region of Tamil Nadu Coast. The International Journal of Ocean and Climate Systems, 7(2), 62–69.

    Article  Google Scholar 

  • Selvan, S. C., Kankara, R. S., Markose, V. J., Rajan, B., & Prabhu, K. (2016). Shoreline change and impacts of coastal protection structures on Puducherry, SE coast of India. Natural Hazards, 83(1), 293–308.

    Article  Google Scholar 

  • Shunmugaraj, T., Usha, T., Sanjeevan, V. N., & Subramanian, B. R. (2011). The Ecosystem, biodiversity and Resource Information system. In J. R. Bhatt et al. (Eds.), The IUCN publication “towards conservation and management of mangrove ecosystems in India”. ISBN 978-2-8317-1263-5.

  • Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., & Ergul, A. (2009). The Digital Shoreline Analysis System (DSAS) version 4.0-an ArcGIS extension for calculating shoreline change (No. 2008-1278). US Geological Survey.

  • Usha, T., Murthy, M. R., Reddy, N. T., & Murty, T. S. (2009). Vulnerability assessment of Car Nicobar to tsunami hazard using numerical model. Science of Tsunami Hazards, 28(1), 15.

    Google Scholar 

  • Usha, T., Murthy, M. R., Reddy, N. T., & Mishra, P. (2012). Tsunami vulnerability assessment in urban areas using numerical model and GIS. Natural Hazards, 60(1), 135–147.

    Article  Google Scholar 

  • Velloth, S., Mupparthy, R. S., Raghavan, B. R., & Nayak, S. (2014). Coupled correction and classification of hyperspectral imagery for mapping coral reefs of Agatti and Flat Islands, India. International Journal of Remote Sensing, 35(14), 5544–5561.

    Article  Google Scholar 

Download references

Acknowledgements

This research work was carried out by the Ministry of Earth Sciences, Government of India under Coastal Research scheme implemented by National Centre for Coastal Research (NCCR), Chennai. We thank Dr. M Rajeevan, Secretary, MoES, for his constant encouragement and support to carry out the work. Our thanks are also due to Dr. Shailesh Nayak, Director, NIAS, for his guidance in all our research activities.

Author information

Authors and Affiliations

  1. National Centre for Coastal Research, MoES, Govt. of India, Chennai, India

    M. V. Ramana Murthy, Tune Usha & R. S. Kankara

Authors
  1. M. V. Ramana Murthy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tune Usha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. S. Kankara
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tune Usha.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Murthy, M.V.R., Usha, T. & Kankara, R.S. Three Decades of Indian Remote Sensing in Coastal Research. J Indian Soc Remote Sens 50, 599–612 (2022). https://doi.org/10.1007/s12524-021-01342-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12524-021-01342-5

Keywords

Search

Navigation