@fmuniversity.nic.in
Guest Faculty
F.M. University, Balasore
PhD in Remote Sensing and Earth Science
Msc. Tech in Applied Geology
Mineral exploration, Remote Sensing, Geographical Information System, Structural Mapping, Lithology Mapping, Alteration study and their applications. Hydrothermal alteration mapping using Remote Sensing, GIS and Field study and their application for Mineral Exploration.
Scopus Publications
Pankajini Mahanta and Sabyasachi Maiti
Elsevier BV
Pankajini Mahanta and Sabyasachi Maiti
Springer Science and Business Media LLC
Arnab Sengupta, Manik Das Adhikari, Sabyasachi Maiti, Soumya Kanti Maiti, Pankajini Mahanta, and Siddhartha Bhaumick
Informa UK Limited
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.
Pankajini Mahanta and Sabyasachi Maiti
Elsevier BV