Processing of Multispectral ASTER Data to Delineate Bauxite Abundant Zones and its Geochemical Characterisation Deposited over Deccan Traps of Central India in Mainpat Plateau, Surguja District, Chhattisgarh

• Published in: Journal of the Geological Society of India Vol. 98; no. 9; pp. 1301 - 1307
• Main Authors: Balabantaray, Sanjay Kumar, Aravindan, S., Baunthiyal, Taanya, Ravi, R.
• Format: Journal Article
• Language: English
• Published: New Delhi Geological Society of India 01.09.2022; Springer Nature B.V
• Subjects: Accuracy; ASTER (radiometer); Atmospheric correction; Bauxite; Bayer process; Earth and Environmental Science; Earth Sciences; Emission analysis; Exploitation; Geochemistry; Geological mapping; Geological surveys; Geology; Hydrogeology; Image processing; Lithology; Mineral resources; Natural resources; Original Article; Pixels; Purity; Radiometers; Remote sensing; Resource exploitation; Spectral signatures; Surveying; Surveys; Target recognition; Thermal emission; India
• ISSN: 0016-7622; 0974-6889
• DOI: 10.1007/s12594-022-2166-z

The current study deals with the application of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral data to delineate bauxite deposits over Mainpat plateau, Surguja district, Chhattisgarh, India. Application of specific band combinations help to delineate bauxite in the (SWIR) region (2.16–2.33 µm) and visible near infrared (VNIR) band (0.4–1.0 µm) of multispectral ASTER data. Various image processing techniques like atmospheric correction, minimum noise fraction, pixel purity index, n-dimensional visualiser, and spectral angle mapper were applied to ASTER image to delineate bauxite rich zones. The pure pixels were differentiated from the mixed pixels using pixel purity index which were further subjected to n-dimensional visualiser to identify the target end-members. The presence of bauxite was confirmed by comparing the spectral signatures of end-members with in-built spectral plots of United States Geological Survey spectral libraries and categorized as bauxite and ferruginous bauxite. Finally, the end-members were categorised as bauxite and ferruginous bauxite and mapped using spectral angle mapper. The result obtained was further compared with the lithological map provided by Geological Survey of India for accuracy. Then XRF analysis was carried out for the collected samples to confirm the presence of bauxite and ferruginous bauxite. Geochemical analysis also categorized the samples as bauxite and ferruginous bauxite that added accuracy to the results obtained from remote sensing technique. This study might be considered as a time saving eco-friendly exploitation of natural resources and finally the potential of multispectral ASTER data for mapping mineral resources.