Identification and mapping of high-potential iron ore alteration zone across Joda, Odisha using ASTER and EO-1 hyperion data

ABSTRACT

Identification and mapping of high-potential Iron Ore indicative alteration zone is important for new prospects. Here we have performed same through ASTER and Hyperion data by considering the in-situ and reported spectral signatures and Band Ratio techniques. The Minimum Noise Fraction and Pixel Purity Index have been applied for the noise reduction and pure pixel extraction from the Hyperion data. Spectral Angle Mapper algorithm has been used to identify the Hematite and Goethite exposures based on the spectral assembling. On the other hand, Ferric Iron, Ferrous Iron, Ferrous Silicates, and Ferric Oxide index have been applied on ASTER VNIR and SWIR data for demarcating alteration zones indicating subsurface occurrence of iron ore. Thereafter, the consistency index has been established between the ground truth/field observations and classified alteration through kappa statistics demonstrates the accurate identification and remote mapping of Iron Ore alteration zone in and around Joda region.

KEYWORDS:

• High-potential iron ore indicative alteration zone
• multi- and hyper-spectral
• FLAASH-MNF- PPI-SAM-band ratio
• Singhbhum shear zone

Acknowledgments

We greatly appreciate the tremendous support received from the Editorial Board of JSS during the review process. The anonymous reviewers critically examined the manuscript and suggesting several valuable changes that greatly helped in bringing up the manuscript to its present shape with enhanced quality and scientific exposition. The Editor in Chief Prof. G. L. Wright also critically examined the manuscript and suggested several valuable changes that helped in scientific value addition and greater exposition.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by ISIRD (SRIC, IIT Kharagpur).