Analysis of ASTER data for mapping bauxite rich pockets within high altitude lateritic bauxite,Jharkhand, India |
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| Institution: | 1. School of Information Science and Engineering, Shandong University, 72 Binhai Road, Qingdao, 266237, China;2. National Mobile Communications Research Laboratory, Southeast University, 2 Sipailou, Nanjing, 210096, China;3. School of Journalism and Communication, Shandong University, 27 Shanda Nanlu, Jinan, 250100, China;4. College of Automation and Electrical Engineering, Qingdao University, 308 Ningxia Road, Qingdao, 266071, China;1. Universidade de Brasília (UnB), Campus Darcy Ribeiro, Brasília, Brazil;2. Serviço Geológico do Brasil (CPRM), Residência Rondônia (REPO), Porto Velho, Brazil;3. Exploração Mineral de Ferrosos, Vale S.A., CTF - Miguelão, Fazenda Rio de Peixe, s/no, Nova Lima, MG, Brazil;1. University of Dschang, Faculty of Science, Department of Earth Science, PO Box 67, Dschang, Cameroon;2. Institute of Agricultural Research for Development (IRAD), PO Box 2067, Yaoundé, Cameroon;3. International Institute of Tropical Agriculture (IITA), ASB Partnership REALU Project, PO Box 2008, Messa, Yaoundé, Cameroon;4. Aix-Marseille Université, CNRS, IRD, CEREGE UM34, 13545 Aix-en-Provence, France |
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| Abstract: | Bauxite deposits of Jharkhand in India are resulted from the lateritization process and therefore are often associated with the laterites. In the present study, ASTER (Advanced Space borne Thermal Emission and Reflection Radiometer) image is processed to delineate bauxite rich pockets within the laterites. In this regard, spectral signatures of lateritic bauxite samples are analyzed in the laboratory with reference to the spectral features of gibbsite (main mineral constituent of bauxite) and goethite (main mineral constituent of laterite) in VNIR–SWIR (visible-near infrared and short wave infrared) electromagnetic domain. The analysis of spectral signatures of lateritic bauxite samples helps in understanding the differences in the spectral features of bauxites and laterites. Based on these differences; ASTER data based relative band depth and simple ratio images are derived for spatial mapping of the bauxites developed within the lateritic province. In order to integrate the complementary information of different index image, an index based principal component (IPC) image is derived to incorporate the correlative information of these indices to delineate bauxite rich pockets. The occurrences of bauxite rich pockets derived from density sliced IPC image are further delimited by the topographic controls as it has been observed that the major bauxite occurrences of the area are controlled by slope and altitude. In addition to above, IPC image is draped over the digital elevation model (DEM) to illustrate how bauxite rich pockets are distributed with reference to the topographic variability of the terrain. Bauxite rich pockets delineated in the IPC image are also validated based on the known mine occurrences and existing geological map of the bauxite. It is also conceptually validated based on the spectral similarity of the bauxite pixels delineated in the IPC image with the ASTER convolved laboratory spectra of bauxite samples. |
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| Keywords: | ASTER Bauxite Lateritic bauxite Index based principal component Topography |
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