Discrimination of Scatterer Responses on Tailings Deposition Zone Using Radar Polarimetry
- 82 Downloads
Mining waste is becoming one of the major issues in environmental management. Continuous monitoring is essential to ensure proper remediation activities. Polarimetric radar plays an important role in providing useful information about the conditions of tailings in cloud-prone areas such as Indonesia. This paper discusses the possibility of monitoring the wetness of tailings in the deposition zone, in order to support land reclamation. We discover that an acceptable level of accuracy is provided by a Mahalanobis classifier on linear polarisation C- and L-band radar data. Taking into account the recent launch of the Envisat radar sensor, we assess the possibility of using partial polarimetric radar data. Interestingly, we attain comparable accuracies on quad and dual polarimetric data. It suggests that partial polarimetric data can be useful and efficient for this specific purpose.
KeywordsRadar Polarimetry Tailings Indonesia
Bambang Trisasongko thanks AusAID through Australian Partnership Scholarship for financial support and AirSAR team (Jet Propulsion Laboratory) for provision of CM6826 data. Fruitful discussion with Dyah Panuju and Annisa Palupi is greatly acknowledged.
- 1.Paull, D., Banks, G., Ballard, C., & Gillieson, D. (2006). Monitoring the environmental impact of mining in remote locations through remotely sensed data. Geocarto International, 21(1), 33–42.Google Scholar
- 4.Shang, J. (2005). Mapping mine tailings using airborne geophysical and hyperspectral remote sensing data. Dissertation, University of Waterloo, 152 p.Google Scholar
- 6.van Zyl, J. J. (1985). On the importance of polarization in radar scattering problems. Dissertation, California Institute of Technology, 152 p.Google Scholar
- 7.Zebker, H. A., van Zyl, J. J., & Held, D.N. (1987) Imaging radar polarimetry from wave synthesis. Journal of Geophysical Research, 92(B1), 683–701.Google Scholar
- 9.Richards, J. A., & Jia, X. (1999). Remote sensing digital image analysis: An introduction. Berlin: Springer, pp. 363.Google Scholar