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Remembering IRS-1C Mission: The “Game Changer” of Indian Earth Observation Program

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Abstract

India’s second-generation earth observation satellite series started with the launch of IRS-1C in December 1995, twenty-five years ago. It is considered to be a “game changer” for Indian earth observation program. With a 5.8 m panchromatic (PAN) camera onboard, IRS-1C became the highest spatial resolution civilian operational satellite at the time of launch and maintained this status till the launch of IKONOS satellite in 1999. IRS-1C also had a unique feature of 3-tier imaging geometry that drew the attention of global remote sensing user community. Other than the PAN camera, the 23.5 m multispectral camera including a shortwave infrared band and the high repetitive coarse-resolution two-band camera facilitated many newer applications and scientific investigations. Commercially, it was one of the most successful missions of the IRS program. The lessons learnt from this mission were even more significant, as these have led to many dedicated theme-missions subsequently.

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References

  • Bahuguna, I. M., Kulkarni, A. V., Nayak, S., Rathore, B. P., Negi, H. S., & Mathur, P. (2007). Himalayan glacier retreat using IRS-1C PAN stereo data. International Journal of Remote Sensing, 28(2), 437–442.

    Google Scholar 

  • Bazyar, M., Bonyad, A., & Kafaki, S. B. (2018). Study of most element of forest destruction by used IRS-1C and Landsat image in the Southern Zagros forest. International Journal of Advanced Biological and Biomedical Research, 6(3), 135–143.

    Google Scholar 

  • Benediktsson, J. A., Pesaresi, M., & Arnason, K. (2003). Classification and feature extraction for remote sensing images from urban areas based on morphological transformations. IEEE Transactions on Geosciences and Remote Sensing, 41(9), 1940–1949.

    Google Scholar 

  • Jayaraman. V. & Chandrasekhar, M. G. (1992). Second generation Indian remote sensing satellites—IRS 1C & 1D. In 43rd Congress of the international astronautical federation, Washington, DC, USA, pp. 52–60.

  • Dadhwal, V. K., Parihar, J. S., Medhavy, T. T., Rahul, D. S., Jarwal, S. D., & Khera, A. P. (1996). Comparative performance of thematic mapper middle infrared bands in crop discrimination. Journal of Indian Society of Remote Sensing, 17(9), 1727–1734.

    Google Scholar 

  • Dasgupta, A. R., Mukund Rao, M., & Gopalan, A. K. S. (2000). The national (natural) resources information system. International Archives on Photogrammetry and Remote Sensing. Vol. XXXIII, Amsterdam, 131–138.

  • Dwivedi, R. S., Ramana, K. V., Thammappa, S. S., & Singh, A. N. (2001). The utility of IRS-1C LISS-III and PAN-merged data for mapping salt-affected soils. Photogrammetric Engineering and Remote Sensing, 67(10), 1167–1175.

    Google Scholar 

  • Edwards, D. T., & Cary, T. (1996). International marketing of IRS-1C data. Current Science, 70(7), 638–641.

    Google Scholar 

  • Falkenstrom, H. (1999). “Evaluation of IRS-1C LISS-III satellite data for Norway spruce defoliation assessment”—Rapport, IVL, Publications service, Stockholm, Sweden. Last accessed April 25, 2020.

  • Gopinath, G., & Seralathan, P. (2004). Identification of groundwater prospective zones using IRS-1D LISS-III and pump test methods. Journal of Indian Society of Remote Sensing, 32(4), 329–342.

    Google Scholar 

  • Hebbar, J. K., Majumder, K. L., Palsule, S. S., Rao, K. M. M., Murthy, J. D., Patel, V. H., et al. (1996a). Data processing system of IRS-1C and data quality evaluation. Current Science, 70(7), 543–550.

    Google Scholar 

  • Hebbar, J. K., Murthy, J. D., Rao, K. M. M., Lakshmi, B., Reddy, V. V., Arokiadas, R. J., et al. (1996b). IRS-1C data products generation and dissemination. Current Science, 70(7), 551–561.

    Google Scholar 

  • Hegde, V. S., Nayak, S. R., Gowda, H. H., Raj, K. G., Kishore, R. N., Jayaraman, V., Chandrasekhar, M. G. (1996) Contribution of IRS-1C to coastal monitoring and Ocean dynamics studies. In UN/ESA/EC symposium, space technology applications for the benefit of developing countries’, pp: 113–125, 9–12 September 1996, in Feuz, Austria (last accessed April 10, 2020).

  • Jacobsen, K. (1998). Calibration of IRS-1C PAN camera. https://www.ipi.uni-hannover.de/fileadmin/ipi/publications/IRS1CKa.pdf. ISPRS Commission I, Bangalore. Last accessed 30 April 2020.

  • Jacobsen, K. (2018). Geometric processing: optical sensor modelling and calibration. In Data processing and analysis methodology, pp. 3–32, Vol. 2, Ed. M. Crawford): Comprehensive Remote Sensing (S. Liang, Editor-in-chief), Elsevier, Amsterdam. Last accessed 30 April 2020.

  • Jayaprasad, P., Arjum, M., Narender, B., Ritesh, A., Pathan, S. K., Ajai, (2006). Terrain parameter retrieval using IRS-1C/D stereo data in conjunction with differential GPS measurements. https://www.isprs.org/proceedings/XXXVI/part4/WG-IV-9-10.pdf. Accessed on 2 April 2020.

  • Jayaraman, V. (2003). Indian Remote Sensing Satellite, IRS-1C—looking beyond. In: Seminar on IRS 1C completes 8 years in Orbit, ISTRAC, ISRO, Bangalore, https://doi.org/10.13140/rg.2.1.3047.7286. Last accessed 23 April 2020.

  • Jayaraman, V. (2011). India’s earth observation: Institutionalisation, achievements and challenges. In Structured training programme on remote sensing applications (pp. 1–15), NRSC, Hyderabad.

  • Jayaraman, V., Chandrasekhar, M. G., & Rao, U. R. (1997). Managing the natural disasters with space technology inputs. Acta Astronautica, 40(2), 291–325.

    Google Scholar 

  • Jayaraman, V., Parihar, J. S., & Srivastava, S. K. (2008). Rejuvenation of agriculture in India: Cost benefits in using EO products. Acta Astronautica, 63(1–4), 493–502.

    Google Scholar 

  • Jayaraman, V., Srivastava, S. K., Raju, D. K., & Rao, U. R. (2000). Total solution approach using IRS-1C and IRS-P3 data. IEEE Transactions on Geosciences and Remote Sensing, 38(1), 587–604.

    Google Scholar 

  • Joseph, G. (2016). India’s journey towards excellence in building Earth observation cameras, Notion Press.

  • Joseph, G., Iyengar, V. S., Rattan, R., Nagachenchaiah, K., Kiran Kumar, A. S., Aradhye, B. V., et al. (1996). Cameras for Indian remote sensing satellite IRS-1C. Current Science, 70(7), 510–515.

    Google Scholar 

  • Joseph, G., & Jeganathan, C. (2018). Fundamentals of remote sensing (3rd ed.). Hyderabad: University Press.

    Google Scholar 

  • Kalyanaraman, S., & Rajangam, R. (1996). Advanced features and specifications of IRS-1C spacecraft. Current Science, 70(7), 501–509.

    Google Scholar 

  • Kasturirangan, K., Aravamudan, R., Deekshatulu, B. L., Joseph, G., & Chandrasekhar, M. G. (1996). Indian remote sensing satellite (IRS)-1C: The beginning of a new Era. Current Science, 70(7), 495–500.

    Google Scholar 

  • Kasturirangan, K., Rao, M., Jayaraman, V., & Sridharamurthy, K. R. (2001). The Indian EO Programme—national and global drivers. Acta Astronautica, 48(5), 799–808.

    Google Scholar 

  • Kiran Kumar, A. S., Jayaraman, V., Chandrasekhar, M. G. (1992). Wide field Sensors (WiFS), presented in: 43rd Congress of the International Astronautical Federation, Washington DC, USA.

  • Krishnamurthy, J., Mani, A., Jayaraman, V., & Manivel, M. (2000). Groundwater resources development in hard-rock terrain: An approach using remote sensing and GIS techniques. International Journal of Applied Earth Observation and Geoinformation, 2(3), 204–215.

    Google Scholar 

  • Kumar, A. S. (2018). Capacity building support to Asia-Pacific and UN role. In CEOS: Working group on capacity building and data democracy, annual meeting, Dehradun. http://ceos.org/document_management/Working_Groups/WGCapD/Meetings/WGCapD-8-2019/Day2_Items20-43/23_Kumar_WGCapD-8_Mar2019.pptx. Last accessed 5 April 2020.

  • Kumar, Senthil A., Kartikeyan, B., & Majumder, K. L. (2000). Merging multispectral and MTF corrected IRS imagery using wavelet transformation. International Journal of Remote Sensing, 21, 581–594.

    Google Scholar 

  • Kumar, A., & Sarma, T. C. (1996). Data reception system for IRS-1C. Current Science, 70(7), 534–542.

    Google Scholar 

  • Kumar, A. S., Srinivas, V., Manjunath, A. S., Kumar, A. S. K., & Jayaraman, V. (2010). Cross calibration of wide field sensors of IRS-1C, IRS-1D and IRS-P6 using near-synchronous matching scenes. Journal of Applied Remote Sensing, 4(1), 043542.

    Google Scholar 

  • Mahapatra, A., Ramachandran, R., & Krishnan, R. (2004). Modelling the uncertainty in orientation of IRS-1C/1D with a rigorous photogrammetric model. Photogrammetric Engineering and Remote Sensing., 70(8), 939–946.

    Google Scholar 

  • Manjunath, K. R. (2014). Remote sensing of applications in agriculture: present prospects and future needs. In ISRO-NASA NISAR workshop, Ahmedabad, November 17–18.

  • McInerney, D. O., Mingueiz, J. S., Valbuena, R., & Nieuwenhuis, M. (2010). Forest canopy height retrieval using LiDAR data, medium-resolution satellite imagery and kNN estimation in Aberfoyle, Scotland. Forestry, 83(2), 195–206.

    Google Scholar 

  • Mustak, S., Baghmar, N. K., & Singh, S. K. (2016). Correction of atmospheric haze of IRS-1C LISS-III multispectral satellite imagery: an empirical and semi-empirical based approach. Landscape & Environment, 10(2), 63–74.

    Google Scholar 

  • Navalgund, R. R. (2006). Indian Earth observation programme towards societal benefits: GEOSS perspective. In GEOSS and next-generation sensors and missions, proceedings of SPIE, vol 6407, 640701.

  • Navalgund, R. R., Jayaraman, V., Kumar, A. S. K., Sharma, T., Mathews, K., & Mohanty, K. K. (1996a). Remote Sensing data acquisition, platforms and sensor requirements. Journal of Indian Society of Remote Sensing, 24(4), 209–237.

    Google Scholar 

  • Navalgund, R. R., & Kasturirangan, K. (1983). The Indian remote sensing satellite: A programme overview. Proceedings of the Indian Academy of Sciences, 6(4), 313–336.

    Google Scholar 

  • Navalgund, R. R., Parihar, J. S., & Rao, P. P. N. (1991). Crop inventory using remotely sensed data. Current Science, 61(3), 161–171.

    Google Scholar 

  • Navalgund, R. R., Parihar, J. S., Venkataratnam, L., Rao, M. V. K., Panigrahy, S., Chakraborty, M. C., et al. (1996b). Early results from crop studies using IRS-1C data. Current Science, 70(7), 568–574.

    Google Scholar 

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

    Google Scholar 

  • Negi, H. S., Thakur, N. K., & Ganju, A. (2012). Monitoring Gangotri glacier using remote sensing and ground observations. Journal of Earth System Science, 121(4), 855–866.

    Google Scholar 

  • Pal, S. K., Majumdar, T. J., & Bhattacharya, A. K. (2007). ERS-2 SAR and IRS-1C LISS-III data fusion: A PCA approach to improve remote sensing based geological interpretation. ISPRS Journal of Photogrammetry and Remote Sensing, 61, 281–297.

    Google Scholar 

  • Panigrahy, S., & Parihar, J. S. (1992). Role of middle infrared bands of Lnadsat thematic mapper in determining the classification accuracy of rice. International Journal of Remote Sensing, 13(15), 2943–2949.

    Google Scholar 

  • Parmar, R. M., Arora, R. K., Rao, M. V., & Thyagarajan, K. (2006). Oceansat 2: Mission and its applications. In GEOSS and next-generation sensors and missions, proceedings of SPIE, vol. 6407, 64070C.

  • Parveen, R., Kulkarni, S., & Mytri, V. D. (2019). Vegetation discrimination and change analysis using multi-temporal IRS-1C LISS-III imagery. Acta Scientific Agriculture, 3(4), 163–171.

    Google Scholar 

  • Raghavaswamy, V., Pathan, S. K., Mohan, P. R., Bhanderi, R. J., & Priya, P. (1996). IRS-1C applications in urban planning and development. Current Science, 70(7), 582–586.

    Google Scholar 

  • Rajendran, S., Arumugam, M., Chandrasekaran, V.A. (2002). Potential use of high-resolution IRS-1C satellite data and detection of urban growth in and around Tiruchirapalli city, Tamil Nadu State, India. In IG XXII International Congress Washington, D.C. USA, April 19–26. Last accessed 20 April 2020.

  • Ramakrishnan, R., Moorthi, S. M., Padmanabhan, N., & Gupta, P. (2004). An automated seamless mosaicking system of multi-charge coupled devices of panchromatic data. Journal of Indian Society of Remote Sensing, 32(1), 103–113.

    Google Scholar 

  • Rao, D. P. (2000). Role of remote sensing and GIS in sustainable development. International Archives on Photogrammetry and Remote Sensing, Vol. XXXIII, Amsterdam, 1231–1251.

  • Rao, D. P., Bhattacharya, A., & Reddy, P. R. (1996a). Use of IRS-1C data for geological and geomorphological studies. Current Science, 70(7), 619–623.

    Google Scholar 

  • Rao, D. P., & Chandrasekhar, M. G. (1996c). Integrated mission for sustainable development (IMSD): A holistic approach to land and water resources development. In Proceedings of 47th international astronautical congress, October 7–11, Beijing, China.

  • Rao, D. P., Gautam, N., Nagaraja, R., & Mohan, P. R. (1996b). IRS-1C applications in land use mapping and planning. Current Science, 70(7), 575–581.

    Google Scholar 

  • Rao, V. M., Prakash, O., Sharma, A., Hermon, R. R., Rao, P. K., Prasad, N. S. R., Kumar, T. P., Kumar, S. S. R. S. S. (2008). Agro-climatic planning and information bank (APIB) for Uttarakhand state, India. International Archives on Photogrammetry and Remote Sensing, Vol. XXXVII, Beijing, pp. 1451–1455.

  • Ray, S. S., Mamata, N. S., & Gupta, S. (2014). Use of remote sensing in crop forecasting and assessment of impact of natural disasters: Operational approaches in India. In FAO expert meeting on crop monitoring for improved food security, Vientiane, Lao PDR, pp. 1–12. Accessed on 12 April 2020.

  • Reddy, P. R., Vinod Kumar, K., & Seshadri, K. (1996). Use of IRS-1C data in groundwater studies. Current Science, 70(7), 600–605.

    Google Scholar 

  • Roy, P. S., Dutt, C. B. S., Jadhav, R. N., Ranganath, B. K., Murthy, M. S. R., Gharai, B., et al. (1996). IRS-1C data utilisation for forestry applications. Current Science, 70(7), 606–613.

    Google Scholar 

  • Sanjeevi, S., Vani, K., & Lakshmi, K. (2001). Comparison of conventional and wavelet transform techniques for fusion of IRS-1C LISS-III and PAN images. In The 22nd asian conference on remote sensing, 5–9 November, Singapore. Last accessed 2 April 2020.

  • Savopol, F., Armenakis, C. (1998). Modelling of the IRS-1C satellite PAN stereo imagery using DLT approach. In ISPRS commission IV symposium on GISbetween visions and applications, Stuttgart, Germany, (Eds.), ‘IAPRS’, Vol. 32/4, 512–514.

  • Saxena, R. K., Verma, K. S., Chary, G. R., Srivastava, R., & Barthwal, A. K. (2000). IRS-1C data application in watershed characterisation and management. International Journal of Remote Sensing, 21(17), 3197–3208.

    Google Scholar 

  • Sharma, S. A., & Bhatt, H. P. (1995). Oil seed crop discrimination selection of optimal bands and role of middle infrared. ISPRS Journal of Photogrammetry and Remote Sensing, 50(5), 25–30.

    Google Scholar 

  • Shiva Kumar, S. K., Sarma, K. S., Nagarajan, N., Raykar, M. G., Rao, H. R., Prabhu, K. V. S. R., et al. (1996). IRS-1C mission planning, analysis and operations. Current Science, 70(7), 516–523.

    Google Scholar 

  • Srinivas, P., Das, B. K., Saibaba, J., & Krishnan, R. (2012) Application of distance based vegetation index for agricultural crops discrimination. https://www.isprs.org/proceedings/xxxv/congress/comm7/papers/215.pdf. Last accessed 30 April 2020.

  • Srivastav, P. K., & Alurkar, M. S. (1997). Inflight calibration of IRS-1C imaging geometry for data products. ISPRS Journal of Photogrammetry and Remote Sensing, 52, 215–221.

    Google Scholar 

  • Thiruvendagadachari, S., Jonna, S., Hakeem, K. A., Raju, P. V., Bhanumurthy, V., Rao, G. S., et al. (1996). Improved water management: IRS-1C contribution. Current Science, 70(7), 589–599.

    Google Scholar 

  • Tomppo, E., Nilsson, M., Rosengren, M., Aalto, P., & Kennedy, P. (2002). Simultaneous use of Landsat-TM and IRS-1C WiFS data in estimating large area tree stem volume and aboveground biomass. Remote Sensing of Environment, 82(1), 156–171.

    Google Scholar 

  • Vani, K., Shanmugavel, S., Marruthachalam, M. (2001). Fusion of IRS LISS- III and PAN images using different resolution ratios. Presented in: 22nd Asian conference on remote sensing, 5–9 November, Singapore. Last accessed 2 April 2020.

  • Wang, G., Holopainen, M. & Lukkarinen, E. (2000). Data fusion of Landsat TM and IRS images in forest classification. https://www.nrs.fs.fed.us/pubs/gtr/gtr_nc212/gtr_nc212_654.pdf. Last accessed 2 April 2020.

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Acknowledgements

We are indebted to Dr. George Joseph, Editor-in-chief, JISRS and Dr. R. R. Navalgund for their constant encouragement, guidance and also for their critical comments on the draft manuscript. We thankfully acknowledge Dr. V. Jayaraman for sharing many important references and useful suggestions while preparing this manuscript. Thanks are due to anonymous reviewers for their insightful comments and suggestions. The incorporation of their suggestions has improved the quality of the paper significantly.

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Senthil Kumar, A., Aparna, N. & Nayak, S.R. Remembering IRS-1C Mission: The “Game Changer” of Indian Earth Observation Program. J Indian Soc Remote Sens 49, 9–22 (2021). https://doi.org/10.1007/s12524-020-01183-8

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