Alok Porwal

Dr

  • The University of Western Australia (M006), 35 Stirling Highway,

    6009 Perth

    Australia

  • 773 Citations
  • 14 h-Index
20032019
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Research Output 2003 2019

  • 773 Citations
  • 14 h-Index
  • 22 Article
  • 6 Conference paper
  • 1 Edited book/Anthology
  • 1 Editorial
2019

Bedrock topography modeling and calcrete-uranium prospectivity analysis of Central Erongo Region, Namibia

Chudasama, B., Porwal, A., Wilde, A., González-Álvarez, I., Aranha, M., Akarapu, U., Hirsch, M. & Becker, E., 1 Nov 2019, In : Ore Geology Reviews. 114, 103109.

Research output: Contribution to journalArticle

calcrete
Uranium
Geology
Uranium deposits
Topography

Geologic Remote Sensing

Porwal, A. (ed.) & Gonzalez-Alvarez, I. (ed.), 2019, Netherlands: Elsevier. 158 p.

Research output: Book/ReportEdited book/Anthology

Introduction to special issue on geologic remote sensing Preface

Porwal, A. & González-Álvarez, I., 1 Feb 2019, In : Ore Geology Reviews. 105, p. 216-222 7 p.

Research output: Contribution to journalEditorial

Remote sensing
remote sensing
science and technology
Satellites
air

Reflectance spectroscopy and ASTER based mapping of rock-phosphate in parts of Paleoproterozoic sequences of Aravalli group of rocks, Rajasthan, India

Guha, A., Vinod Kumar, K., Porwal, A., Rani, K., Sahoo, K. C., Aneesh Kumar, S. R., Singaraju, V., Singh, R. P., Khandelwal, M. K., Raju, P. V. & Diwakar, P. G., 1 May 2019, In : Ore Geology Reviews. 108, SI, p. 73-87 15 p.

Research output: Contribution to journalArticle

phosphate rock
Radiometers
radiometer
reflectance
Phosphates
2018
1 Citation (Scopus)
Uranium deposits
calcrete
Uranium
Vanadate minerals
Groundwater
9 Citations (Scopus)

Monitoring surface mining belts using multiple remote sensing datasets: A global perspective

Yu, L., Xu, Y., Xue, Y., Li, X., Cheng, Y., Liu, X., Porwal, A., Holden, E. J., Yang, J. & Gong, P., 1 Oct 2018, In : Ore Geology Reviews. 101, p. 675-687 13 p.

Research output: Contribution to journalArticle

Open pit mining
global perspective
Remote sensing
remote sensing
land cover
2017
1 Citation (Scopus)

Evaluation and modelling across-track illumination variation in hyperion images using quadratic regression

Pal, M. K. & Porwal, A., 2017, In : International Journal of Remote Sensing. 38, 23, p. 6790-6815 26 p.

Research output: Contribution to journalArticle

14 Citations (Scopus)

Random Forest-Based Prospectivity Modelling of Greenfield Terrains Using Sparse Deposit Data: An Example from the Tanami Region, Western Australia

Hariharan, S., Tirodkar, S., Porwal, A., Bhattacharya, A. & Joly, A., Oct 2017, In : Natural Resources Research. 26, 4, p. 489–507 19 p.

Research output: Contribution to journalArticle

modeling
gold
minority
parameter
sampling technique
2016
8 Citations (Scopus)

Geology, geodynamics and orogenic gold prospectivity modelling of the Paleoproterozoic Kumasi Basin, Ghana, West Africa

Chudasama, B., Porwal, A., Kreuzer, O. P. & Butera, K., 2016, In : Ore Geology Reviews. 78, p. 692-711

Research output: Contribution to journalArticle

Geodynamics
Gold deposits
Fuzzy inference
Geology
Gold

Laboratory-based, field-based, and satellite-borne spectroscopy for lithological discrimination

Amrutkar, R., Parakh, K., Chudasama, B., Thakur, S., Aranha, M. & Porwal, A., 2016, Proceedings of SPIE: Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI. Larar, A. M., Chauhan, P., Suzuki, M. & Wang, J. (eds.). India: S P I E - International Society for Optical Engineering, Vol. 9880. 98801P

Research output: Chapter in Book/Conference paperConference paper

ASTER
spectroscopy
geological mapping
infrared spectroscopy
rock

Machine learning and spectral techniques for lithological classification

Parakh, K., Thakur, S., Chudasama, B., Tirodkar, S., Porwal, A. & Bhattacharya, A., 2016, Proceedings of SPIE: Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI. Larar, A. M., Chauhan, P., Suzuki, M. & Wang, J. (eds.). USA: S P I E - International Society for Optical Engineering, Vol. 9880. 98801Z

Research output: Chapter in Book/Conference paperConference paper

ASTER
pegmatite
amphibolite
mica
schist
1 Citation (Scopus)

Sub-surface paleochannel detection in DeGrussa area, Western Australia, using thermal infrared remote sensing

Thakur, S., Chudasama, B., Porwal, A. & Gonzalez-Alvarez, I., 2016, Proceedings of SPIE: Land Surface and Cryosphere Remote Sensing III. Khanbilvardi, R., Ganju, A., Rajawat, A. S. & Chen, J. M. (eds.). India: S P I E - International Society for Optical Engineering, Vol. 9877. 98772C

Research output: Chapter in Book/Conference paperConference paper

paleochannel
emissivity
remote sensing
fill
temperature
2015
5 Citations (Scopus)

A Local Brightness Normalization (LBN) algorithm for destriping Hyperion images

Pal, M. K. & Porwal, A., 2015, In : International Journal of Remote Sensing. 36, 10, p. 2674-2696

Research output: Contribution to journalArticle

Hyperion
pixel
normalisation
25 Citations (Scopus)

Exploration feature selection applied to hybrid data integration modeling: Targeting copper-gold potential in central Iran

Asadi, H., Porwal, A., Fatehi, M., Kianpouryan, S. & Lu, Y., 2015, In : Ore Geology Reviews. 71, p. 819-838

Research output: Contribution to journalArticle

Data integration
Gold
targeting
Feature extraction
Copper
19 Citations (Scopus)
Uranium
Fuzzy inference
Linguistics
Minerals
uranium
29 Citations (Scopus)

GIS-based 3D prospectivity mapping: A case study of Jiama copper-polymetallic deposit in Tibet, China

Xiao, K., Li, N., Porwal, A., Holden, E-J., Bagas, L. & Lu, Y., Dec 2015, In : Ore Geology Reviews. 71, p. 611-632 22 p.

Research output: Contribution to journalArticle

Geographic information systems
Copper
Geochemistry
Deposits
GIS
15 Citations (Scopus)
Geographic information systems
Uranium
Minerals
uranium
GIS
2014
11 Citations (Scopus)
Probabilistic Logic
Uncertainty Modeling
fuzzy mathematics
Fuzzy Logic
Monte Carlo Simulation
2013
29 Citations (Scopus)
2010
25 Citations (Scopus)

A continent-wide study of Australia's uranium potential. Part I: GIS-assisted manual prospectivity analysis

Kreuzer, O. P., Markwitz, V., Porwal, A. & Mccuaig, C., 2010, In : Ore Geology Reviews. 38, p. 334-366

Research output: Contribution to journalArticle

A New 3D model for Architectural Evolution of the Granite-Tanami Orogen

Joly, A., Mccuaig, C., Bagas, L. & Porwal, A., 2010, Abstracts No 98 of the 20th Australian Geological Convention,. Canberra, Australia: Geological Society of Australia, Vol. 98. p. 313-314

Research output: Chapter in Book/Conference paperConference paper

2009

Hydrothermal Ni Prospectivity Analysis of Tasmania, Australia, European Geosciences Union

Gonzalez-Alvarez, I., Porwal, A., Mccuaig, C. & Maier, W., 2009, Geophysical Research Abstracts. Vienna, Austria: Copernicus Publications, Vol. 11. p. EGU2009-1374

Research output: Chapter in Book/Conference paperConference paper

Potential Greenstone Belt Continuity Undercover, Zimbabwe

Gonzalez-Alvarez, I., Joly, A., Mccuaig, C. & Porwal, A., 2009, Joint Assembly Supplimental Abstracts. Washington DC: American Geophysical Union, Vol. 90. p. 22

Research output: Chapter in Book/Conference paperConference paper

2006
86 Citations (Scopus)

A Hybrid Fuzzy Weights-of-Evidence Model for Mineral Potential Mapping

Porwal, A., Carranza, E. J. M. & Hale, M., 2006, In : Natural Resources Research. 15, p. N/A

Research output: Contribution to journalArticle

84 Citations (Scopus)

Bayesian network classifiers for mineral potential mapping

Porwal, A., Carranza, E. J. M. & Hale, M., 2006, In : Computers & Geosciences. 32, p. 1-16

Research output: Contribution to journalArticle

19 Citations (Scopus)
2004
93 Citations (Scopus)

A Hybrid Neuro-Fuzzy Model for Mineral Potential Mapping

Porwal, A., Carranza, E. J. M. & Hale, M., 2004, In : Mathematical Geology. 36, p. 803-826

Research output: Contribution to journalArticle

Neuro-fuzzy
Fuzzy Model
Feature Vector
Adaptive Neuro-fuzzy Inference System
mineral
2003
135 Citations (Scopus)

Artificial Neural Networks for Mineral-Potential Mapping: A Case Study from Aravalli Province, Western India

Porwal, A., Carranza, E. J. M. & Hale, M., 2003, In : Natural Resources Research. 12, p. 155-171

Research output: Contribution to journalArticle

38 Citations (Scopus)
126 Citations (Scopus)

Knowledge-driven and Data-driven Fuzzy Models for Predictive Mineral Potential Mapping

Porwal, A., Carranza, E. J. M. & Hale, M., 2003, In : Natural Resources Research. 12, p. 1-25

Research output: Contribution to journalArticle