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Miss Badal Pokharel
Associate Lecturer

Miss Badal Pokharel

PhD in Civil Engineering (2019-Present), School of Civil and Environmental Engineering, The University of New South Wales, Sydney, Australia

M.Sc. Engineering Geology (2018), Tri-Chandra Multiple Campus, Tribhuvan University, Nepal

Engineering
Civil and Environmental Engineering

Badal is an Associate Lecturer at the School of Civil and Environmental Engineering, Faculty of Engineering. She teaches Geospatial Information Science (GMAT3220). She specializes in implementation of remote sensing (RS), geographical information systems (GIS) and machine learning algorithms to assess natural hazards. 
E-mail
b.pokharel@unsw.edu.au
Location
Room 508, H20 Building School of Civil and Environmental Engineering
  • Book Chapters | 2021
    Chen Z; Pokharel B; Li B; Lim S, 2021, 'Location Extraction from Twitter Messages Using a Bidirectional Long Short-Term Memory Neural Network with Conditional Random Field Model', in Geographical Information Systems Theory, Applications and Management, Springer International Publishing, pp. 18 - 30, http://dx.doi.org/10.1007/978-3-030-76374-9_2
  • Journal articles | 2022
    Alvioli M; Marchesini I; Pokharel B; Gnyawali K; Lim S, 2022, 'Geomorphological slope units of the Himalayas', Journal of Maps, vol. 18, pp. 300 - 313, http://dx.doi.org/10.1080/17445647.2022.2052768
    Journal articles | 2021
    Althuwaynee OF; Pokharel B; Aydda A; Balogun AL; Kim SW; Park HJ, 2021, 'Spatial identification and temporal prediction of air pollution sources using conditional bivariate probability function and time series signature', Journal of Exposure Science and Environmental Epidemiology, vol. 31, pp. 709 - 726, http://dx.doi.org/10.1038/s41370-020-00271-8
    Journal articles | 2021
    Pokharel B; Althuwaynee OF; Aydda A; Kim SW; Lim S; Park HJ, 2021, 'Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal', Landslides, vol. 18, pp. 1403 - 1419, http://dx.doi.org/10.1007/s10346-020-01558-5
    Journal articles | 2021
    Pokharel B; Alvioli M; Lim S, 2021, 'Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics', Scientific Reports, vol. 11, http://dx.doi.org/10.1038/s41598-021-00780-y
    Journal articles | 2020
    Aydda A; Althuwaynee OF; Pokharel B, 2020, 'An easy method for barchan dunes automatic extraction from multispectral satellite data', IOP Conference Series: Earth and Environmental Science, vol. 419, pp. 012015 - 012015, http://dx.doi.org/10.1088/1755-1315/419/1/012015
    Journal articles | 2019
    Pokharel B; Thapa PB, 2019, 'Landslide susceptibility in Rasuwa District of central Nepal after the 2015 Gorkha Earthquake', Journal of Nepal Geological Society, vol. 59, pp. 79 - 88, http://dx.doi.org/10.3126/jngs.v59i0.24992
  • Other | 2023
    Pokharel B; Alvioli M; Lim S, 2023, Slope-unit-based assessment of landslide susceptibility in Central Nepal, http://dx.doi.org/10.5194/egusphere-egu23-10252
    Conference Papers | 2020
    Chen Z; Pokharel B; Li B; Lim S, 2020, 'Location extraction from twitter messages using bidirectional long short-term memory model', in GISTAM 2020 - Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management, pp. 45 - 50
    Conference Papers | 2020
    Pokharel B; Alvioli M; Lim S, 2020, 'Relevance of morphometric predictors and completeness of inventories in earthquake-induced landslide susceptibility', in Alvioli M; Marchesini I; Melelli L; Guth P (eds.), Proceedings of the GEOMORPHOMETRY 2020 Conference, Italy, pp. 182 - 185, presented at GEOMORPHOMETRY 2020, Italy, 22 June 2020 - 26 June 2020, http://dx.doi.org/10.30437/GEOMORPHOMETRY2020_49

Her research focuses on the assessment of natural and human-induced disasters, such as earthquake-triggered landslides or climate change-induced floods, using geospatial approaches. She is passionate about working in interdisciplinary and transdisciplinary research that contributes towards disaster risk reduction and management (DRRM). 

My Teaching

Geospatial Information Science (GMAT 3220)