AG
ARINDAM GUHA
Indian Space Research Organisation Kolkata, Indian Space Research Organisation, Andhra University, Indian Institute of Technology Bombay, Geological Survey of India Central Region
Employment
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Indian Space Research Organisation Kolkata Head , Applications2023 - 2025
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Indian Space Research Organisation Scientist SG2021 - 2023
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Indian Space Research Organisation2005 - 2016
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Geological Survey of India Central Region2002 - 2005
Education
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Andhra University Ph.D2011 - 2015
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Indian Institute of Technology Bombay M.Sc2000 - 2002
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Indian Institute of Technology Kharagpur M.Tech2000 - 2002
Projects & Funding
Projects & funding information is unavailable.
Publications (59)
- Earth observation approach for targeting stratiform deposit of manganese in central India Save
- Implementation of orthogonal subspace projection on ASTER data for exploring phosphorite -a study in Chhatarpur, Madhya Pradesh, India Save
- Airborne hyperspectroscopy using AVIRIS- NG data for detecting surface signatures of kimberlite and kimberlite clan of rocks in Bundelkhand Craton, India Save
- Airborne imaging spectroscopy of igneous layered complex and their mapping using different spectral enhancement conjugated support vector machine models Save
- Combined use of band shape algorithm, linear spectral un-mixing on Clementine & Moon Mineralogy Mapper data for identifying the imprints of magmatic differentiation – A study around Aristarchus Plateau Save
- Comparative analysis of AVIRIS-NG and Landsat-8 OLI data for lithological mapping in parts of Sittampundi layered complex, Tamil Nadu, India Save
- Eigen vector based analysis of Landsat OLI principal components and constrained energy minimization maps for discriminating iron enriched zones in banded iron formation (BIF) in Sidhi, Madhya Pradesh Save
- New insights on Kimberlite emplacement around the Bundelkhand Craton using integrated satellite-based remote sensing, gravity and magnetic data Save
- Support vector machine-based integration of AVIRIS NG hyperspectral and ground geophysical data for identifying potential zones for chromite exploration – A study in Tamil Nadu, India Save
- Multi-sensor datasets-based optimal integration of spectral, textural, and morphological characteristics of rocks for lithological classification using machine learning models Save