UTILISATION OF HYBRID POLARIMETRIC SAR DATA FOR NATURAL RESOURCE MONITORING – A NEW DIMENSION

Authors

  • P. V. Jayasri National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad
  • Manoj Joseph National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad
  • H.S.V. Usha Sundari Ryali National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad
  • E.V.S. Sita Kumari National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad
  • A.V.V. Prasad National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad

DOI:

https://doi.org/10.25175/jrd/2018/v37/i2/129700

Keywords:

SAR, IDL, RISAT, Polarimetric Analysis Natural Resource Management.

Abstract

Natural resource mapping and its monitoring are the key elements for sustainable rural development. Satellite based remote sensing with Synthetic Aperture Radar (SAR) is widely accepted for natural monitoring because of its synoptic view and better temporal coverage due to its unique capabilities to provide day and night measurements, almost independent of atmospheric/climatic conditions. ISRO’s Radar Imaging Satellite (RISAT-1) with hybrid polarimetry added a new dimension to explore its utilisation for various applications including natural resource monitoring and further to its management with the inclusion of Geographical Information System. A pilot study has been carried out by considering hybrid polarimetric single look complex SAR datasets acquired over Annaram village in Mahabubnagar district. In the current work, hybrid polarimetric data from RISAT-1 have been analysed and processed for different standard radar targets like corner reflectors and various land cover features using Stokes parameter based decomposition techniques like M-delta, M-chi and M-alpha. The importance of Stokes vector and its derived value added parameter based decompositions are well demonstrated statistically as they aid in characterising target properties based on dominant basic scattering mechanism. Derived Stokes Polarimetric parameters that are decomposed from hybrid polarimetric data are elucidated as the essential basis for better target discrimination and classification. The preliminary results and experience gained in implementation of different emerging hybrid polarimetric decompositions for deriving characteristics of scattering mechanism involved in natural and man-made targets towards sustainable rural development are discussed in this paper.

Downloads

Download data is not yet available.

Downloads

Published

2018-04-02

How to Cite

Jayasri, P. V., Joseph, M., Usha Sundari Ryali, H., Sita Kumari, E., & Prasad, A. (2018). UTILISATION OF HYBRID POLARIMETRIC SAR DATA FOR NATURAL RESOURCE MONITORING – A NEW DIMENSION. Journal of Rural Development, 37(2), 355–364. https://doi.org/10.25175/jrd/2018/v37/i2/129700

References

Stokes G.G. (1852), On the composition and resolution of streams of polarized light from different sources, Trans Cambridge Philos, Soc., 9, 399-416.

J.C. Souyris, P. Imbo, R. Fjortoft, S. Mingot and J.S. Lee (2005), Compact polarimetry based on symmetry properties of geophysical media: the ð/4 mode, IEEE Transactions on Geoscience and Remote Sensing Vol.43, No.3, pp.634-646.

T.L. Ainsworth, M. Preiss, N. Stacy, M. Nord and J.S. Lee (2007), “Analysis of compact polarimetric SAR imaging modes,†Proc. POLINSAR, ESAESRIN, Frascati, Italy, p7, 22-26 Feb.

Boerner, W-M., H. Mott, E. Luneburg, C. Livingstone and J.S. Paterson (1998), Polarimetry in remote sensing: basic and applied concepts, principles and applications of imaging radar.

Raney R.K. (2011), A perspective on compact polarimetry, IEEE Geoscience and Remote Sensing, Newsletter, Vol.160, pp.12-18, sep 2011.

F. Charbonneau ,R. Touzi, Requirements on the calibration of Hybrid –compact SAR, IGARSS 2014, PROC., Quebec, Canada, July 2014.

R. Touzi, “Compact-hybrid versus linear-dual and fully polarimetric SARâ€, PolInSAR 2009’, 26-30 January 2009, Frascati, Italy (ESA SP-668, April 2009).

Tapan Misra, S.S. Rana, N.M. Desai, D.B. Dave, Rajeevjyoti, R.K. Arora, C.V.N. Rao, B.V. Bakori, R. Neelakantan, J.G.Vachchani 2013, “Current Scienceâ€, Vol 104, No.4, Feb 2013.