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Potential of RISAT-1 SAR Data in Detecting Palaeochannels in Parts of the Thar Desert, India


Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
 

In the present study, we have demonstrated the potential of RISAT-1 Synthetic Aperture Radar (SAR) data to detect palaeochannels in parts of Thar Desert, India, which may be utilized as one of the guides of geoarchaeological exploration, besides forming groundwater prospective zones. Palaeochannels have been detected using RISAT-1 SAR MRS datasets in the southern parts of Jaisalmer and northeastern parts of Barmer districts, Rajasthan. These palaeochannels of length varying between 14 and 36 km and width varying between 20 and 65 m are present within parabolic sand dune complexes. Palaeochannels have been detected as distinct dark tone on RISAT-1 SAR data compared to feeble expression on corresponding LANDSAT-OLI FCC datasets. This is due to sand-filled valleys, acting as radar smooth surface and absorbing the radar energy with negligible backscatter and enhanced topography due to side-looking capability of RISAT-1 SAR. High-resolution Cartosat DEM has been utilized to prepare topographical profiles, supporting the geomorphological interpretation. Merging of RISAT-1 SAR and LANDSAT ETM datasets using PCA techniques led to enhancements of palaeochannels on merged FCC data products. Like polarization of RISAT-1, SAR data could further enhance and aid in detecting palaeochannels. The entire region was flooded in August 2006 and water had flown through these palaeochannels, which subsequently dried up and facilitated their easy detection; they are otherwise difficult to interpret using pre-flood images. Analysis of sequential post-flood images has been taken up for detailed study of the area, as there is scope to detect additional hitherto unknown palaeochannels.

Keywords

Desert, Geoarchaeological Exploration, Palaeochannels, Synthetic Aperture Radar Data.
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  • Elachi, C., Roth, L. E. and Schaber, G. G., Spaceborne radar sub-surface imaging in hyperarid regions. IEEE Trans. Geosci. Remote Sensing, 1984, 22(4), 383–388.

  • El-Baz, F., Space age archaeology. Sci. Am., 1997, 277, 60–65.

  • Robinson, C. A., Potential and applications of radar data. In Egypt. EJRS, 1998, 6, 25–56.

  • McCauley, J. F. et al., Subsurface valleys and geoarcheology of the eastern Sahara revealed by shuttle radar. Science, 1982, 218, 1004–1020.

  • McCauley, J. F. et al., Paleodrainages of the eastern Sahara – the radar rivers revisited (SIR-A/B implications for a Mid-Tertiary Trans-African Drainage System). IEEE Trans. Geosci. Remote Sensing, 1986, 4, 624–648.

  • McHugh, W. P., McCauley, J. F., Haynes, C. V., Breed, C. S. and Schaber, G. G., Paleorivers and geoarchaeology in the southern Egyptian Sahara. Geoarchaeology, 1988, 3(1), 1–40.

  • McHugh, W. P., Schaber, G. G., Breed, C. S. and McCauley, J. F., Neolithic adaptation and the Holocene functioning of Tertiary palaeodrainages in southern Egypt and northern Sudan. Antiquity, 1989, 63(239), 320.

  • Moore, E. H. and Freeman, A., The application of microwave scattering mechanism to the study of early Ankorean water Management. In Paper presented at the European Association of Southeast Asian Archaeologists, 6th International Conference, Leiden, 1996, pp. 1–13.

  • Adams, R. E., Swamps, canals, and the locations of ancient Maya cities. Antiquity, 1980, 54(212), 206–214.

  • Pope, K. O. and Dahlin, B. H., Ancient Maya wetland agriculture: new insights from ecological and remote sensing research. J. Field Archaeol., 1989, 16(1), 87–106.

  • Sever, T. L., Validating prehistoric and current social phenomena upon the landscape of the Peten, Guatemala. In People and Pixels: Linking Remote Sensing and Social Science, National Academy Press, Washington DC, 1998, pp. 145–163.

  • Sever, T. L. and Irwin, D. E., Landscape archaeology: remote-sensing investigation of the ancient Maya in the Peten rainforest of northern Guatemala. Ancient Mesoam., 2003, 14(1), 113–122.

  • Holcomb, D. W., Imaging radar and archaeological survey: an example from the Gobi Desert of southern Mongolia. J. Field Archaeol., 2001, 28(1–2), 131–141.

  • Blom, R. G., Crippen, R. E. and Elachi, C., Detection of subsurface features in SEASAT radar images of means Valley, Mojave Desert, California. Geology, 1984, 12(6), 346–349.

  • Kar, A., drainage desiccation, water erosion and desertification in northwest India. In Desertification in Thar, Sahara and Sahel Regions (eds Sen, A. K. and Amal Kar), Scientific Publisher, Jodhpur, 1993, pp. 49–72.

  • Kar, A., Geomorphology of arid western India. Mem. Geol. Soc. India, 1995, 32, 168–190.

  • Radhakrishna, B. P. and Merh, S. S., Vedic Sarasvati, evolutionary history of a lost river of northwestern India. Mem. Geol. Soc. India, 1999, 42, 329.

  • Valdiya, K. S., Sarasvati, the River that Disappeared, University Press, Hyderabad, 2002, p. 116.

  • Rajawat, A. S., Verma, P. K. and Nayak, S., Reconstruction of palaeodrainage network in northwest India: retrospect and prospects of remote sensing based studies. Proc. Indian Natl. Sci. Acad. Part A, 2003, 69(2), 217–230.

  • Gupta, A. K., Sharma, J. R. and Sreenivasan, G., Using satellite imagery to reveal the course of an extinct river below the Thar desert in Indo-Pak region. Int. J. Remote Sensing, 2011, 32(18), 5197–5216.

  • Rajawat, A. S. et al., Potentials of radar (ERS-1/2, SAR) and high resolution IRS-1C data for reconstructing palaeodrainage network of western Rajasthan. Mem. Geol. Soc. India, 1999, 42, 245–258.

  • KAR, A., A hitherto unknown palaeodrainage system from radar imagery of Southeastern Thar desert and its significance. Mem. Geol. Soc. India, 1999, 42, 229–236.

  • Rajawat, A. S., Reconstruction, evolution and significance of palaeodrainage network in Western Rajasthan: an investigation based on multisensor satellite data and geographic information system (GIS), Ph D Thesis, Vikram University, Ujjain, 2005, p. 331.

  • Rajani, M. B., Bhattacharya, S. and Rajawat, A. S., Synergistic application of optical and radar data for archaeological exploration in the Talakadu region, Karnataka. J. Indian Soc. Remote Sensing, 2011, 39(4), 519–527.

  • Singh, S. K., Rajawat, A. S., Rathore, B. P., Bahuguna, I. M. and Chakraborty, M., Detection of glacier lakes buried under snow by RISAT-1 SAR in the Himalayan terrain. Curr. Sci., 2015, 109(9), 1728–1732.

  • Misra, T. et al., Synthetic aperture radar payload on-board RISAT-1: configuration, technology and performance. Curr. Sci., 2013, 104(4), 446–461.

  • Chakraborty, M. et al., Initial results using RISAT-1 C-band SAR data. Curr. Sci., 2013, 104(4), 490–501.

  • Lee, J. S. and Jurkevich, I., Segmentation of SAR images. IEEE Trans. Geosci. Remote Sensing, 1989, 27(6), 674–680.

  • Lee, J. S., Digital image enhancement and noise filtering by use of local statistics. IEEE Trans. Pattern Anal. Mach. Intell., 1980, 2(2), 165–168.

  • Kuan, D. T., Sawchuk, A. A., Strand, T. C. and Chavel, P., Adaptive noise smoothing filter for images with signal-dependent noise. IEEE Trans. Pattern Anal. Mach. Intell., 1985, 7(2), 165–177.

  • Baraldi, A. and Parmiggiani, F., A refined Gamma MAP SAR speckle filter with improved geometrical adaptivity. IEEE Trans. Geosci. Remote Sensing, 1995, 33(5), 1245–1257.

  • Frost, V. S., Stiles, J. A., Shanmugan, K. S. and Holtzman, J. C., A model for radar images and its application to adaptive digital filtering of multiplicative noise. IEEE Trans. Pattern Anal. Mach. Intell., 1982, 4(2), 157–166.

  • Richards, J. A., Thematic mapping from multitemporal image data using the principal components transformation. Remote Sensing Environ., 1984, 16(1), 35–46.

  • Yesou, H., Besnus, Y. and Rolet, J., Extraction of spectral information from Landsat TM data and merger with SPOT panchromatic imagery – a contribution to the study of geological structures. ISPRS J. Photogramm. Remote Sensing, 1993, 48(5), 23–36.

  • Yesou, H., Besnus, Y., Rolet, J., Pion, J. C. and Aing, A., Merging Seasat and SPOT imagery for the study of geological structures in a temperate agricultural region. Remote Sensing Environ., 1993, 43(3), 265–279.

  • Laul, V. P. and Laul, V., Floods in Barmer and other Tertiary terrains in Rajasthan, Curr. Sci., 2007, 92(5), 568.

  • Joshi, J. P. and Bisht, R. S., India and the Indus Civilization, National Museum Institute, New Delhi, 1994.

  • Mughal, M. R., The geographical extent of the Indus Civilization during the Early, Mature and Late Harappan times, In South Asian Archaeological Studies (ed. Possehl, G. L.), Oxford and IBH, New Delhi, 1992, pp. 123–143.

  • Joshi, J. P., Bala, M. and Ram, J., The Indus civilization: a reconsideration on basis of distribution maps. In Frontiers of the Indus Civilization (eds Lal, B. B. and Gupta, S. P.), Books and Books, New Delhi, 1984, pp. 511–539.


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  • Potential of RISAT-1 SAR Data in Detecting Palaeochannels in Parts of the Thar Desert, India

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Authors

Hrishikesh Kumar
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
A. S. Rajawat
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India

Abstract


In the present study, we have demonstrated the potential of RISAT-1 Synthetic Aperture Radar (SAR) data to detect palaeochannels in parts of Thar Desert, India, which may be utilized as one of the guides of geoarchaeological exploration, besides forming groundwater prospective zones. Palaeochannels have been detected using RISAT-1 SAR MRS datasets in the southern parts of Jaisalmer and northeastern parts of Barmer districts, Rajasthan. These palaeochannels of length varying between 14 and 36 km and width varying between 20 and 65 m are present within parabolic sand dune complexes. Palaeochannels have been detected as distinct dark tone on RISAT-1 SAR data compared to feeble expression on corresponding LANDSAT-OLI FCC datasets. This is due to sand-filled valleys, acting as radar smooth surface and absorbing the radar energy with negligible backscatter and enhanced topography due to side-looking capability of RISAT-1 SAR. High-resolution Cartosat DEM has been utilized to prepare topographical profiles, supporting the geomorphological interpretation. Merging of RISAT-1 SAR and LANDSAT ETM datasets using PCA techniques led to enhancements of palaeochannels on merged FCC data products. Like polarization of RISAT-1, SAR data could further enhance and aid in detecting palaeochannels. The entire region was flooded in August 2006 and water had flown through these palaeochannels, which subsequently dried up and facilitated their easy detection; they are otherwise difficult to interpret using pre-flood images. Analysis of sequential post-flood images has been taken up for detailed study of the area, as there is scope to detect additional hitherto unknown palaeochannels.

Keywords


Desert, Geoarchaeological Exploration, Palaeochannels, Synthetic Aperture Radar Data.

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DOI: https://doi.org/10.18520/cs%2Fv113%2Fi10%2F1899-1905