GEOLOGY &
MINERAL
RESOURCES GROUP
·
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Adjunct, CET, the University of Western Australia
Associate Editor, Ore Geology Reviews
Associate Editor, Arabian Journal of Geosciences
Editorial Advisor, Natural Resources Research
aporwal@iitb.ac.in; alok.porwal@gmail.com
+91 (0)22 2576 7673
Awarded IIT Bombay's Professor SP Sukhatme
Award for Excellence in Teaching 2017
PROFESSIONAL
service
I provide training and consultancy to mining and exploration industry,
government and intergovernmental agencies in the field of prospectivity
modelling and mineral exploration targeting. Previous and present clients
include BHP Billiton, AREVA, Regalpoint Uranium, AusGold, Geoscience Australia, Council of Geosciences -
South Africa and IAEA.
Teaching
and Research
Masters/PhD courses
- GNR 603 Principles of remote
sensing
- GNR 628 Spectroscopy of planetary
material
- GNR 633 Remote sensing and GIS
for mineral and petroleum exploration
- GNR 627 Natural resource
potential modelling
-GNR 648 Thermal Infrared Remote
Sensing
- GNR 653 Data Analysis Methods for
Geospatial Applications
Current Research interests
- GIS-based Mineral prospectivity
modelling
- Uranium, gold and nickel mineral
systems
- Geologic remote sensing
- Machine learning and artificial
intelligence
- Planetary remote sensing
- Field spectroscopy of geologic
material
Training workshops/short-term courses
- Mineral prospectivity modeling
- Machine learning and artificial
intelligence
Academic
service
Guest editorship, Special volumes of Ore Geology Reviews 2010; 2015;
2016 (in progress); 2018 (in progress)
National coordinator, 36th International Geological Congress, New Delhi
Conference convener in international conferences
1.
Geomatrix 12,
Mumbai, India, Feb 2012
2.
GIS in mining and
exploration, Perth, Dec 2012
3.
Geomatrix 19,
Mumbai, India, Feb 2019
Session convener in international conferences
1.
Session on Quantitative
Approaches to Hydrothermal Systems at European Geoscience Union (EGU) General
Assembly, Vienna, Austria, April 2009.
2.
Session on Structural
Controls on Mineralization, Conceptual targeting and Prospectivity/endowment analysis
at the Society for Geology Applied to Mineral Deposits (SGA) meeting,
Townsville, Australia, August 2009.
3.
Session on Quantitative
Approaches to Hydrothermal Systems at European Geoscience Union (EGU) General
Assembly, Vienna, Austria, May 2010.
4.
Session on mineral
prospectivity modelling at 34th IGC, Brisbane, Australia, August, 2012.
5.
Sessions on mineral
prospectivity modelling and mineral systems paradigm at 35th IGC, Cape Town,
South Africa, August, 2016.
Conference chair in international conferences
GIS in mining and exploration, Perth,
Dec 2012
Session chair in international conferences
1.
Session III in the VII
International Symposium on Mineral Exploration (ISME): Application of Neural
Networks to the Earth Sciences, NASA Moffett Field, California, USA, Aug 2002.
2.
Session on Quantitative
approaches to hydrothermal systems at European Geoscience Union (EGU) General
Assembly, Vienna, Austria, April 2009.
3.
Session on Quantitative
approaches to hydrothermal systems at European Geoscience Union (EGU) General
Assembly, Vienna, Austria, May 2010.
4.
Session on mineral
prospectivity modelling at 34th IGC, Brisbane, Australia, August, 2012
5.
Sessions on mineral
prospectivity modelling and mineral systems paradigm at 35th IGC, Cape Town,
South Africa, August, 2016.
International workshops/courses conducted
1.
Mineral prospectivity
analysis and quantitative resource assessments, Australian Earth Science
Convention, Perth, Australia, July 2008.
2.
GIS-based spatial
mathematical modeling for uranium prospectivity mapping, AFMECO Mining &
Exploration (a subsidiary of the French Nuclear Group Areva),
Adelaide, Australia, November 2008.
3.
Computer-aided
exploration targeting: module on GIS-based prospectivity mapping, CET, the
University of Western Australia, 2009, Perth, Australia, July 2009.
4.
Mapping Mineral
Prospectivity Using GIS, Conference on GIS in Mining and Exploration 2010,
September 2010.
5.
GIS-based mineral
prospectivity mapping, Geoscience Australia, Canberra, 7-8 Dec 2010.
6.
Mineral prospectivity
mapping with GIS: A masterclass, in the international conference on GIS in
mining and exploration, Brisbane, Australia, 7-8 March 2011.
7.
Computer-aided
exploration targeting: module on GIS-based prospectivity mapping, CET, the
University of Western Australia, 2009, Perth, Australia, July 2011.
8.
Using GIS-based Soft
Computation and Artificial Intelligence Techniques in Mineral Exploration: A
masterclass, GIS in mining and exploration, Perth, Australia, September, 2011.
9.
IAEA workshop on
Uranium prospectivity modeling, Beijing Research Institute of Uranium Geology,
China National Nuclear Corporation, November, 2011.
10. GIS-based
mineral prospectivity modeling, GIS in mining and exploration conference,
Brisbane, Australia, Dec 2012
11. IAEA
workshop on Uranium prospectivity modeling, Sri Lankan Bureau of Mines and
Geology, Colombo, September, 2013.
12. Computer-aided
exploration targeting: module on GIS-based prospectivity mapping, CET, the University
of Western Australia, Perth, Australia, Oct 2013.
13. IAEA
National workshop on Uranium modeling, Nanchang, China, Nov 2014.
14. Training
workshop on mineral prospectivity modeling, Council of Geoscience, Pretoria,
South Africa, Feb 2016
15. IAEA
National workshop on Uranium modeling, Nanchang, China, Dec 2017
16. Workshop
on machine learning and best practice in mineral prospectivity modeling, Perth
and Santiago, BHP Billiton. June 2018
Research
supervision
- PhD
2 completed + 7 on-going
- MSc
10 completed + 1 on-going
- Honors
1 completed
Publications
International journals guest editorship
1.
Gonzalez-Alvarez, I., Stoppa, F., Yang, X., Porwal, A. (Guest Editors), Insights
on Carbonatites and their Mineral Exploration approach: A Challenge towards
Resourcing Critical Metals. Ore Geology Reviews (2018)
2.
Porwal, A. and
Gonzalez-Alvarez, I. (Guest Editors), Geologic remote sensing and spectroscopy,
Ore Geology Reviews (2018)
3.
Porwal, A. and
Carranza, E.J.M., (Guest Editors), GIS-based mineral prospectivity modeling,
Ore Geology Reviews. (2016)
4.
Kreuzer, O.P. and
Porwal, A. (Guest Editors), Prospectivity Analysis, Special issue on mineral
prospectivity mapping, quantitative assessment, Ore Geology Reviews (2010)
International monographs/bulletin/technical
reports/book chapters
1.
Thakur, S., Porwal, A.,
Chudasama, B. Global grade tonnage modelling of uranium deposits, in: Fairclough, M. (ed.), Quantitative and spatial modelling of
uranium resources. IAEA TechDoc (Accepted)
2.
Kreuzer, O.P.,
Chudasama, B., Thakur, S., Porwal, A., Surficial uranium systems in Western
Australia: prospective tracts and undiscovered endowment, in: Fairclough, M. (ed.), Quantitative and spatial modelling of
uranium resources. IAEA TechDoc (Accepted)
3.
Jaireth,
S., Porwal, A. Spatial and quantitative modeling of uranium resources. in: Fairclough, M. (ed.), Quantitative and spatial modelling of
uranium resources. IAEA TechDoc (Accepted)
4.
Xiao, K., Li, N.,
Porwal, A., Holden, E. J., Bagas, L., & Lu, Y.
(2016). Research on GIS-Based 3D Prospectivity Mapping and a Case Study of Jiama Copper-Polymetallic Deposit in Tibet, China. In Geostatistical and Geospatial Approaches for the
Characterization of Natural Resources in the Environment (pp. 735-740).
Springer International Publishing.
5.
Joly, A., Dentith, M, Porwal, A, Spaggiari,
CV, Tyler, IM, McCuaig, TC. (2013) An integrated geological and geophysical
study of the west Arunta Orogen and its mineral prospectivity. Geological
Survey of Western Australia Special Bulletin, 89 pp.
6.
Porwal, A., Carranza,
E.J.M., and Hale, M. (2011), Mathematical models for mapping the potential of
mineral deposits. In: Ed. P. Ghosh, Numerical Methods and Models in Earth
Science, New India Publishing Agency, New Delhi, India, 99-117
7.
Porwal A. and Carranza,
E.J.M. (2008), Classifiers for modeling of mineral potential, In: Bayesian Belief
Networks: A Practical Guide to Applications, Eds. Olivier Pourret,
Patrick Naim and Bruce G. Marcot,
John Wiley & Sons, p. 149-171.
8.
Markwitz,
V., Porwal, A. and Kreuzer, O. (2008), Regalpoint
Uranium - CET Collaborative Research Project: Uranium models for exploration
targeting, conceptual and empirical prospectivity analyses. CET technical
report, the University of Western Australia, 166 pp.
9.
Kreuzer, O.P., Porwal,
A.K., and Markwitz, V., (2007), The Regalpoint Uranium research project: objectives, approach
and results. Confidential report to Transcontinental Group, Australia, 42 p.,
13 maps, and 1 CD-ROM.
10. Kreuzer,
O.P., Porwal, A.K., and Markwitz, V., (2007), Uranium
prospectivity analysis: Northern Territory, Queensland, South Australia and
Western Australia. Confidential Report to Transcontinental Group, Australia, 18
p., 7 maps, and 1 CD-ROM.
11. Kreuzer,
O.P., Porwal, A.K., and Markwitz, V., (2007), The Regalpoint Uranium research project: objectives, approach
and results. Confidential report to Transcontinental Group, Australia, 42 p.,
13 maps, and 1 CD-ROM.
12. Kreuzer,
O.P., Porwal, A.K., and Markwitz, V., (2007), Uranium
prospectivity analysis: Northern Territory, Queensland, South Australia and
Western Australia. Confidential Report to Transcontinental Group, Australia, 18
p., 7 maps, and 1 CD-ROM.
International peer-reviewed journal papers
1.
Chudasama, B., Porwal,
A., Gonzalez-Alvarez, I., Thakur, S., Wilde, A., Kreuzer, O. P. (2018)
Surficial uranium systems in Western Australia: Prospectivity modelling and
quantitative estimates of resources. Part 1: Origin of uranium deposits in
surficial environments: A review. Ore Geology Reviews. (available on-line)
2.
Chudasama, B., Porwal,
A., Gonzalez-Alvarez, I., Thakur, S., Kreuzer, O. P. (2018) Surficial uranium
systems in Western Australia: Prospectivity modelling and quantitative
estimates of resources. Part 2: Prospectivity modelling and exploration
targets. Ore Geology Reviews. (available on-line)
3.
Chudasama, B., Thakur
S., Muralikrishnan, L., Porwal, A., Gonzalez-Alvarez,
I., Kreuzer, O. P. (2018) Surficial uranium systems in Western Australia:
Prospectivity modelling and quantitative estimates of resources. Part 3: Quantitative
estimation of undiscovered resources. Ore Geology Reviews. (available on-line)
4.
P. V. Arun, K. M.
Buddhiraju and A. Porwal (2018) CNN based Sub-pixel Mapping for Hyperspectral
Images. Neurocomputing (available on-line)
5.
Sarkar, R., Edgett, K. S., Singh, P., & Porwal, A., (2017) The
light-toned stratified sedimentary rock exposures in western Juventae Chasma,
Mars, in context. Icarus. https://doi.org/10.1016/j.icarus.2018.04.010
6.
Singh, P., Sarkar, R.
and Porwal, A. (2018). Orbital Remote Sensing of Impact-Induced Hydrothermal
Systems on Mars," Ore Geology Reviews, Available on-line
7.
Pal, M.K. and Porwal,
A. (2017). Evaluation and modelling across-track illumination variation in
Hyperion images using quadratic regression," International Journal of Remote
Sensing,,Vol. :, 2017,
pp.6790--6815,
8.
P. V. Arun, K. M. Buddhiraju and A.
Porwal (2018). Integration of Contextual Knowledge in Unsupervised Subpixel
Classification: Semivariogram and Pixel-Affinity Based Approaches, "IEEE
Geoscience and Remote Sensing Letters, pp. 262-266,
9.
Guha,
A., Rani, K., Kumar, V.K., Porwal, A., Sahoo, K.C.,
Kumar, A., Singhraju, S.R., Singh, V.R.P., Khandelwal, M.K., Diwakar, P.G.
(2018) Reflectance spectroscopy and ASTER based mapping of rock-phosphate in
parts of Paleoproterozoic sequences of Aravalli Craton, Rajasthan, India, Ore
Geology Reviews, (Available on-line)
10. Acharya,
D., Porwal, A., & Bhattacharya, A. (2016). Remote detection of geological
structures: an application to the Aravalli region, western India. Geocarto International, 1-17.
11. Chudasama,
B., Porwal, A., Kreuzer, O. P., & Butera, K.
(2016). Geology, geodynamics and orogenic gold prospectivity modelling of the
Paleoproterozoic Kumasi Basin, Ghana, West Africa. Ore Geology Reviews,78,
692-711.
12. Porwal,
A., Das, R. D., Chaudhary, B., Gonzalez-Alvarez, I., & Kreuzer, O. (2015).
Fuzzy inference systems for prospectivity modeling of mineral systems and a
case-study for prospectivity mapping of surficial Uranium in Yeelirrie Area,
Western Australia. Ore Geology Reviews, 71, 839-852.
13. Porwal,
A., & Carranza, E. J. M. (2015). Introduction to the Special Issue:
GIS-based mineral potential modelling and geological data analyses for mineral
exploration. Ore Geology Reviews, 71, 477-483.
14. Asadi,
H. H., Porwal, A., Fatehi, M., Kianpouryan,
S., & Lu, Y. J. (2015). Exploration feature selection applied to hybrid
data integration modeling: Targeting copper-gold potential in central Iran. Ore
Geology Reviews, 71, 819-838.
15. Mohan,
B. K., & Porwal, A. (2015). Hyperspectral image processing and analysis.
CURRENT SCIENCE, 108(5), 833.
16. Pal,
M. K., & Porwal, A. (2015). A Local Brightness Normalization (LBN)
algorithm for destriping Hyperion images. International Journal of Remote
Sensing, 36(10), 2674-2696.
17. Joly,
A., Porwal, A., McCuaig, T. C., Chudasama, B., Dentith,
M. C., & Aitken, A. R. (2015). Mineral systems approach applied to
GIS-based 2D-prospectivity modelling of geological regions: Insights from
Western Australia. Ore Geology Reviews, 71, 673-702.
18. Xiao,
K., Li, N., Porwal, A., Holden, E. J., Bagas, L.,
& Lu, Y. (2015). GIS-based 3D prospectivity mapping: A case study of Jiama copper-polymetallic deposit in Tibet, China. Ore
Geology Reviews, 71, 611-632.
19. Bhattacharya,
A., Porwal, A., Dhingra, S, De, S., Venkataraman, G. (2015) Remote estimation of dielectric
permittivity of lunar surface regolith using compact polarimetric
synthetic aperture radar data, Advances in Space Research vol. 56, no.11, pp.
2439-2448.
20. Lisitsin,
V. A., Porwal, A., & McCuaig, T. C. (2014). Probabilistic fuzzy logic
modeling: quantifying uncertainty of mineral prospectivity models using Monte
Carlo simulations. Mathematical Geosciences, 46(6), 747-769.
21. Lisitsin,
V., Gonzalez-Alvarez, I., Porwal, A. (2013) Regional prospectivity analysis for
hydrothermal-remobilised nickel mineral systems in
western Victoria, Australia. Ore Geology Reviews Special Issue 52, 100-112.
22. Yu,
L., Porwal, A., Holden, E. J., & Dentith, M. C.
(2012). Towards automatic lithological classification from remote sensing data
using support vector machines. Computers & Geosciences, 45, 229-239.
23. Joly,
A., Porwal, A., & McCuaig, T. C. (2012). Exploration targeting for orogenic
gold deposits in the Granites-Tanami Orogen: mineral system analysis, targeting
model and prospectivity analysis. Ore Geology Reviews,48, 349-383.
24. Yu,
L., Porwal, A., Holden, E. J., & Dentith, M. C.
(2011). Suppression of vegetation in multispectral remote sensing images.
International journal of remote sensing, 32(22), 7343-7357.
25. Markwitz,
V., Maier, W. D., Gonzalez-Alvarez, I., McCuaig, T. C., & Porwal, A.
(2010). Magmatic nickel sulfide mineralization in Zimbabwe: Review of deposits
and development of exploration criteria for prospectivity analysis. Ore Geology
Reviews, 38(3), 139-155.
26. Koek,
M., Kreuzer, O. P., Maier, W. D., Porwal, A. K., Thompson, M., & Guj, P. (2010). A review of the PGM industry, deposit
models and exploration practices: Implications for Australia's PGM potential.
Resources Policy,35(1), 20-35.
27. Mamuse,
A., Porwal, A., Kreuzer, O., & Beresford, S. (2010). Spatial statistical
analysis of the distribution of komatiite-hosted nickel sulfide deposits in the
Kalgoorlie terrane, western Australia: clustered or
not? Economic Geology, 105(1), 229-242.
28. Porwal,
A., Gonzalez-Alvarez, I., Markwitz, V., McCuaig, T.
C., & Mamuse, A. (2010). Weights-of-evidence and logistic regression
modeling of magmatic nickel sulfide prospectivity in the Yilgarn Craton,
Western Australia. Ore Geology Reviews, 38(3), 184-196.
29. Bai,
J., Porwal, A., Hart, C., Ford, A., & Yu, L. (2010). Mapping geochemical
singularity using multifractal analysis: Application to anomaly definition on
stream sediments data from Funin Sheet, Yunnan,
China. Journal of Geochemical Exploration, 104(1), 1-11.
30. Kreuzer,
O.P., Markwitz, V., Porwal, A., McCuaig, T.C.M.
(2010), A Continent-Wide Study of Australia's Uranium Potential. Part I:
GIS-Assisted ("Manual") Prospectivity Analysis. Ore Geology Reviews,
Available online 20 August 2010, ISSN 0169-1368, DOI: 10.1016/ j.oregeorev.2010.08.003
31. Porwal,
A. K., & Kreuzer, O. P. (2010). Introduction to the special issue: mineral
prospectivity analysis and quantitative resource estimation. Ore Geology
Reviews, 38(3), 121-127.
32. Fallon,
M., Porwal, A., & Guj, P. (2010). Prospectivity
analysis of the Plutonic Marymia Greenstone Belt,
Western Australia. Ore Geology Reviews, 38(3), 208-218.
33. Gonzalez-Alvarez,
I., Porwal, A., Beresford, S. W., McCuaig, T. C., & Maier, W. D. (2010).
Hydrothermal Ni prospectivity analysis of Tasmania, Australia. Ore Geology
Reviews, 38(3), 168-183.
34. Mamuse,
A., Beresford, S., Porwal, A., & Kreuzer, O. (2010). Assessment of
undiscovered nickel sulphide resources, Kalgoorlie Terrane, Western Australia: Part 1. Deposit and
endowment density models. Ore Geology Reviews, 37(3), 141-157.
35. Koek,
M., Kreuzer, O.P., Maier, W.D., Porwal, A., Thompson, M., and Guj, P. (2009), A review of the PGM industry, deposit
models and exploration practices: Implications for Australian PGM potential.
Resource Policy, v. 34 (3), p. 121-132.
36. Mamuse,
A., Porwal, A. and Kreuzer, O. (2009), A new method for spatial centrographic analysis of mineral deposit clusters. Ore
Geology Reviews, v. 36(4), p. 292-305.
37. McCuaig,
T.C.M., Porwal, A. and Gessner, K. (2009), Fooling ourselves: recognizing uncertainty
and bias in exploration targeting, CET Quarterly Newsletter, v 2(7), p. 1-8.
38. Gessner,
K. and Porwal, A. (2008), Tectonic controls on ore deposits in hot continental
crust: thermal models and spatial analyses, CET Quarterly Newsletter, v 1(5),
p. 9-11.
39. Porwal,
A. (2008), GIS-based mineral prospectivity mapping using hybrid neuro-fuzzy
models, CET Quarterly Newsletter, v 1(5), p. 1-7.
40. Porwal,
A. (2007), Base-metal prospectivity mapping of the Aravalli Province, western
India - A spatial mathematical approach. SGEG Newsletter, Geological Society of
Australia, v. 4, p. 3-19
41. Porwal,
A., Carranza, E.J.M., and Hale, M. (2006), Bayesian network classifiers for
mineral potential mapping. Computers & Geosciences, v. 32(1), p. 1-16.
42. Porwal,
A., Carranza, E.J.M., and Hale, M. (2006), Tectonostratigraphy
and base-metal mineralization controls, Aravalli province (western India): new
interpretations from geophysical data analysis. Ore Geology Reviews, v.
29(3-4), p. 287-306.
43. Porwal,
A., Carranza, E.J.M., and Hale, M. (2006), A hybrid fuzzy weights of evidence
model for mineral potential mapping. Natural Resources Research, v. 15(1),
p.1-14.
44. Porwal,
A., Carranza, E.J.M., and Hale, M. (2004), A hybrid neuro-fuzzy model for
mineral potential mapping. Mathematical Geology, v. 36(7), 803-826.
45. Porwal,
A., Carranza, E.J.M., and Hale, M. (2003), Artificial neural networks for
mineral potential mapping. Natural Resources Research, v. 12(3), 1-15.
46. Porwal,
A., Carranza, E.J.M., and Hale, M. (2003), Extended Weights-of-evidence modeling
for predictive mapping of base-metal deposit potential in Aravalli Province,
Western India. Exploration and Mining Geology, v. 10(4), 155-163.
47. Porwal,
A., Carranza, E.J.M., and Hale, M. (2003), Knowledge-driven and data-driven
fuzzy models for mineral potential mapping. Natural Resources Research, v.
12(1), 1-25.
48. Porwal,
A., Carranza, E.J.M., Hale, M. (2002), Artificial neural networks for mineral
potential mapping. Abstracts of Internal Symposium on Mineral Exploration, p.
18.
International peer-reviewed conference proceeding
papers
1.
P. V. Arun, K. M. Buddhiraju and A.
Porwal (2018), inversion of deep networks for modelling variations in spatial
distributions of land cover classes across scales, In Geoscience and Remote
Sensing Symposium (IGARSS), 2017 IEEE International, pp. 5658-5661. IEEE, 2017.
2.
Sarkar, R., Singh, P., Edgett, K. S., Ghosh, D., Porwal, A., 2018. Structural
Characterization of Juventae Chasma and the Light-Toned Mounds Proceedings of
the 49th Lunar and Planetary Science Conference, Houston, Texas, Abstract
#2241.
3.
Singh, P., Sarkar, R.,
Porwal, A., & Phartiyal, B., 2017. The Diverse
Channel Networks of Juventae Chasma, Mars. Proceedings of the 48th Lunar and
Planetary Science Conference, Houston, Texas, Abstract #2603
4.
Sarkar, R., Edgett, K. S., Singh, P., & Porwal, A., 2017.
Reappraisal of the Stratigraphic Position of Light Toned Materials in Juventae
Chasma, Mars. Proceedings of the 48th Lunar and Planetary Science Conference,
Houston, Texas, Abstract #2170
5.
Porwal, A., Lisitsin. V. "Uncertainty mapping in GIS-based
prospectivity modelling," Target Conference, 2017, Perth,
6.
Pal, M. K., and A.
Porwal. 2017. Topographic correction using brightness normalization approach
from hyperspectral remote sensing images. In Geoscience and Remote Sensing
Symposium (IGARSS), 2017 IEEE International, pp. 5658-5661. IEEE, 2017.
7.
Chudasama B., Lisitsin V. A., and Porwal A. (2017) Uncertainties in
prospectivity analysis ofsurficial uranium mineral
systems in Western Australia., Mineral Prospectivity Conference: Current
approaches and future innovations, Orleans, France
8.
Chudasama B., Porwal,
A., Thakur, S., Muralikrishnan, L., Kreuzer, O., Wilde,
A. Surficial uranium systems in Western Australia: genesis, prospective tracts
and undiscovered endowment. Target Conference, 2017, Perth
9.
Amrutkar,
R., Parakh, K., Chudasama, B., Thakur, S., Aranha, M., & Porwal, A. (2016). Laboratory-based,
field-based, and satellite-borne spectroscopy for lithological discrimination.
In SPIE Asia-Pacific Remote Sensing (pp. 98801P-98801P). International Society
for Optics and Photonics. (Poster)
10. Parakh,
K., Thakur, S., Chudasama, B., Tirodkar, S., Porwal,
A., & Bhattacharya, A. (2016). Machine learning and spectral techniques for
lithological classification. In SPIE Asia-Pacific Remote Sensing (pp.
98801P-98801P). International Society for Optics and Photonics. (Poster)
11. Thakur,
S., Chudasama, B., Porwal, A., & Gonzalez-Alvarez, I. (2016). Sub-surface paleochannel detection in DeGrussa
area, Western Australia, using thermal infrared remote sensing. In SPIE
Asia-Pacific Remote Sensing (pp. 98772C-98772C). International Society for
Optics and Photonics. (Poster)
12. Ahluwalia,
A., Manickam, S., Bhattacharya, A., & Porwal, A.
(2016). Urban area mapping from polarimetric SAR data
using fuzzy inference system. In SPIE Asia-Pacific Remote Sensing (pp.
987721-987721). International Society for Optics and Photonics. (Poster)
13. Pal,
MK, Porwal, A (2016) Dimensionality Reduction of
Hyperspectral Data: Band Selection Using Curve Fitting, SPIE Asia-Pacific
Remote Sensing, 4 - 7 April 2016, New Delhi, India. (Poster)
14. Pal
M. K., Porwal A. (2016) Vegetation Suppression for Unveiling of Surface
Lithology from Hyperspectral Images Using Linear Spectral Unmixing Approach,
2016 IEEE International Geoscience and Remote Sensing Symposium, 10 July - 15
July 2016, Beijing, China (accepted). (Oral)
15. Pal
M. K., Porwal A., 2016. Optimizing Classification Using Multi-Classifiers for Spaceborne Hyperspectral Dataset, WHISPERS-2016, 21 st -24 th August 2016, Los
Angeles, California, USA (accepted).
16. Sarkar,
R., Singh, P., Porwal,A., 2016. Origin of Mass Wasting Features In
Juventae Chasma, Mars. R. Sarkar, P. Singh, Ganesh. I, A. Porwal Proceedings of
the 47th Lunar and Planetary Science Conference, Houston, Texas, Abstract #1876
(Poster)
17. Singh,
P., Sarkar, R., Ganesh. I., Porwal, A., 2016. Origin of Fluvial Channels in the
Walls of Juventae Chasma: evidences of groundwater sapping? Proceedings of the
47 th Lunar and Planetary Science Conference,
Houston, Texas, Abstract #1878 (Poster)
18. Chudasama,
B., Porwal, A., Kreuzer, O.P. (2015) Modelling gold prospectivity in the
Paleoproterozoic Kumasi Basin, Ghana, West Africa, using fuzzy inference
systems (FIS), Mineral Resources. In A Sustainable World, 13th SGA Biennial
Meeting 2015. Proceedings, Volume 4, pp. 1583-1586 (Poster)
19. Porwal,
A., Chudasama, B., Das, R. D., Kreuzer, O.P. (2015) Surficial uranium targeting
model and prospectivity mapping of the Yeelirrie Area, Western Australia,
Mineral Resources. In A Sustainable World, 13th SGA Biennial Meeting 2015.
Proceedings, Volume 5, pp. 1871- 1874 (Poster)
20. Sarkar,
R., Singh, P., Porwal, A., 2015. Identification of Aqueous Minerals and
Subsurface/Interstitial Ice Signatures from a Crater in Thaumasia, Mars.
Proceedings of the 46th Lunar and Planetary Science Conference, Houston, Texas,
Abstract #1784 (Oral)
21. Sarkar,R.,
Singh, P., Porwal,A., 2015. Ductile and Brittle Deformational
Features Within the Light Toned Mounds of Juventae Chasma, Mars. Proceedings of
the 46th Lunar and Planetary Science Conference, Houston, Texas, Abstract #1788
(Poster)
22. Pal
M. K., Porwal A., 2015. Spectral noise reduction and smoothing using local
cubic least square regression from Hyperion reflectance data, 2015 IEEE 2nd
International Conference on Signal Processing and Integrated Networks, pp.
752-755, 19-20 February, 2015, Amity University, Noida, Uttar Pradesh, India.
(Oral)
23. Pal
M. K., Porwal A., 2015. Destriping of Hyperion Images Using Low-Pass- Filter
and Local-Brightness- Normalization, 2015 IEEE International Geoscience and
Remote Sensing Symposium, 26 July - 31 July 2015, Milan, Italy. (Poster)
24. Sarkar,
R., Porwal A., 2014. Light toned layers in a crater in Thaumasia, Mars.
Proceedings of the 11th Annual Meeting Asia Oceania Geoscience Society,
Sapporo, Japan,p. 336 (Oral)
25. Joly,
A., Aitken, A., Dentith, M., McCuaig, T. C., Porwal,
A., Smithies, H., ... & Evans, S. (2012). Architecture and evolution of the
West Musgrave Province, and implications for mineral prospectivity. ASEG
Extended Abstracts, 2012(1), 1-4. (Oral)
26. Koek,
M., Kreuzer, O.P., Maier, W.D., Porwal, A., Thompson, M., and Guj, P. (2009), A review of the PGM industry,
deposit models and exploration practices: Implications for Australian PGM
potential. SGA meeting, Townsville, Australia.
27. Fallon,
M., Guj, P. and Porwal, A. (2009), Prospectivity
Analysis of the Plutonic Marymia Greenstone
Belt, Western Australia. SGA meeting, Townsville, Australia.
28. Gonzalez-Alvarez,
I., Joly, A., McCuaig, T.C., Porwal, A. (2009), Potential Greenstone
Belt Continuity Undercover, Zimbabwe. Eos Trans. AGU, 88(52), Fall Meet.
Suppl., 2009.
29. Porwal,
A., Gonzalez-Alvarez, I., Markwitz,
V., McCuaig, T.C., Mamuse, A. (2009), Regional-scale nickel sulfide
prospectivity mapping of the Yilgarn Craton, Western Australia. SGA meeting,
Townsville, Australia.
30. Markwitz,
V., Gonzalez-Alvarez, I., Maier, W., McCuaig, T.C., Porwal, A. (2009),
Nickel Deposits in Archaean Greenstone Belts in Zimbabwe: Review and
Prospectivity Analysis. SGA, Townsville, Australia.
31. Porwal,
A., (2008), Bayesian Network Classifiers for GIS-based mineral prospectivity
mapping. Australian Earth Science Convention Abstracts p. 203.
32. Porwal,
A., (2008), Spatial mathematical models for mineral prospectivity
mapping. Australian Earth Science Convention Abstracts p. 203.
33. Porwal,
A. and Hale, M. (2000), GIS-based weights-of-evidence analysis for predictive
mineral mapping: a case study from Aravalli province, western India,
Proceedings of XIV International Conference on Applied Geologic Remote Sensing,
Las Vegas, p. 377-384.
34. Porwal,
A. and Sides, E.J. (2000), A predictive model for base metal
exploration in a GIS environment. International Archives of Photogrammetry and
Remote Sensing, v. XXXIII, part B7, Amsterdam, 1178-1184
SPONSORED
RESEARCH PROJECTS (MAJOR PROJECTS)
1.
Fluvial valley networks
in the southeastern Thaumasia highlands of Mars: 3D Morphometry, nature and
sources, Sponsored by Indian Space Research Organization (2016-19).
2.
Compositional
variability of lunar mare basalts in eastern Oceanus Procellarum
over space and time: Insights from Chandrayaan I Hyperspectral Imaging Camera (HySi) and Terrain Mapping Camera (TMC) data, Sponsored by
Indian Space Research Organization (2016-19).
3.
Origin of interior
layered deposits of Juventae Chasma, Mars: Insights from detailed
mineralogical, structural and stratigraphic mapping. Sponsored by Indian Space
Research Organization (2016-19).
4.
3D crustal modeling and
resource potential mapping of deep-seated mineral deposits in the Aravalli
province, India, Sponsored by IIT Bombay (2011-16).
5.
Mineral prospectivty modeling of Myanmar. Sponsored by Petro Gold,
Dubai (2012-13).
6.
Prospectivity modelling
of greenfields regions in Western Australia. Sponsored by Geological Survey of
Western Australia (2009-2012).
7.
Orogenic gold
prospectivity mapping of Granite-Tanami Orogen, Western Australia. Sponsored by
Tanami Gold NL. (2008-09).
8.
Orogenic gold
prospectivity mapping of Plutonic-Marymia Greenstone
Belt (PGMB), Western Australia. Sponsored by Barrick Gold (2008-09).
9.
Continent-wide uranium
prospectivity analysis of Australia. Sponsored by Regalpoint
Uranium (2007-2008).
10. Global
nickel prospectivity analysis. Sponsored by TRG Australia (2007-08).
11. Gold
prospectivity analysis of Australia. Sponsored by AusGold
Ltd (2007).