Open Access Repository
Items where Author is "Aryal, J"
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Number of items: 37.
Article
Feizizadeh, B, Roodposhti, MS, Blaschke, T and Aryal, J
ORCID: 0000-0002-4875-2127 2017
, 'Comparing GIS-based support vector machine kernel functions for landslide susceptibility mapping'
, Arabian Journal of Geosciences, vol. 10, no. 5
, pp. 1-13
, doi: https://doi.org/10.1007/s12517-017-2918-z.

Garg, S
ORCID: 0000-0003-3510-2464, Aryal, J
ORCID: 0000-0002-4875-2127, Wang, Hao, Shah, T, Kecskemeti, G and Ranjan, R 2018
, 'Cloud computing based bushfire prediction for cyber-physical emergency applications'
, Future Generation Computer Systems, vol. 79
, pp. 354-363
, doi: https://doi.org/10.1016/j.future.2017.02.009.


Ghorbanzadeh, O, Blaschke, T, Aryal, J
ORCID: 0000-0002-4875-2127 and Gholaminia, K 2018
, 'A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping'
, Journal of Spatial Science
, pp. 1-18
, doi: https://doi.org/10.1080/14498596.2018.1505564.

Ghorbanzadeh, O, Blaschke, T, Gholamnia, K and Aryal, J
ORCID: 0000-0002-4875-2127 2019
, 'Forest fire susceptibility and risk mapping using social/infrastructural vulnerability and environmental variables'
, Fire, vol. 2, no. 3
, pp. 1-27
, doi: https://doi.org/10.3390/fire2030050.

Ghorbanzadeh, O, Blaschke, T, Gholamnia, K, Meena, SR, Tiede, D and Aryal, J
ORCID: 0000-0002-4875-2127 2019
, 'Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection'
, Remote Sensing, vol. 11, no. 2
, pp. 1-21
, doi: https://doi.org/10.3390/rs11020196.

Ghorbanzadeh, O, Meena, SR, Blaschke, T and Aryal, J
ORCID: 0000-0002-4875-2127 2019
, 'UAV-based slope failure detection using deep-learning convolutional neural networks'
, Remote Sensing, vol. 11, no. 17
, pp. 1-24
, doi: https://doi.org/10.3390/rs11172046.

Ghorbanzadeh, O, Rostamzadeh, H, Blaschke, T, Gholaminia, K and Aryal, J
ORCID: 0000-0002-4875-2127 2018
, 'A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping'
, Natural Hazards
, pp. 1-21
, doi: https://doi.org/10.1007/s11069-018-3449-y.

Ghorbanzadeh, O, Valizadeh Kamran, K, Blaschke, T, Aryal, J
ORCID: 0000-0002-4875-2127, Naboureh, A, Einali, J and Bian, J 2019
, 'Spatial prediction of wildfire susceptibility using field survey GPS data and machine learning approaches'
, Fire, vol. 2, no. 3
, pp. 1-23
, doi: https://doi.org/10.3390/fire2030043.

Hardy, A
ORCID: 0000-0003-1461-2967 and Aryal, J
ORCID: 0000-0002-4875-2127 2020
, 'Using innovations to understand tourist mobility in national parks'
, Journal of Sustainable Tourism, vol. 28, no. 2
, pp. 263-283
, doi: https://doi.org/10.1080/09669582.2019.1670186.


Hardy, A
ORCID: 0000-0003-1461-2967, Aryal, J
ORCID: 0000-0002-4875-2127 and Wells, MP 2019
, 'Comparing techniques for tracking: the case of Tourism Tracer in Tasmania, Australia'
, E-review of Tourism Research, vol. 16, no. 2/3
, pp. 84-94
.


Hardy, A
ORCID: 0000-0003-1461-2967, Hyslop, S, Booth, K
ORCID: 0000-0002-3102-6356, Robards, B
ORCID: 0000-0001-5031-1235, Aryal, J
ORCID: 0000-0002-4875-2127, Gretzel, U and Eccleston, R
ORCID: 0000-0003-4094-1780 2017
, 'Tracking tourists’ travel with smartphone-based GPS technology: a methodological discussion'
, Information Technology & Tourism, vol. 17, no. 3
, pp. 255-274
, doi: https://doi.org/10.1007/s40558-017-0086-3.





KC, U, Aryal, J
ORCID: 0000-0002-4875-2127, Garg, S
ORCID: 0000-0003-3510-2464 and Hilton, J 2021
, 'Global sensitivity analysis for uncertainty quantification in fire spread models'
, Environmental Modelling and Software, vol. 143
, pp. 1-13
, doi: https://doi.org/10.1016/j.envsoft.2021.105110.


KC, U, Aryal, J
ORCID: 0000-0002-4875-2127, Hilton, J and Garg, S
ORCID: 0000-0003-3510-2464 2021
, 'A surrogate model for rapidly assessing the size of a wildfire over time'
, Fire, vol. 4, no. 2
, pp. 1-17
, doi: https://doi.org/10.3390/fire4020020.


KC, U, Hilton, J, Garg, S
ORCID: 0000-0003-3510-2464 and Aryal, J 2022
, 'A probability-based risk metric for operational wildfire risk management'
, Environmental Modelling and Software, vol. 148
, doi: https://doi.org/10.1016/j.envsoft.2021.105286.

Lay, SU, Pradhan, B, Yusoff, ZBM, Abdallah, AFB, Aryal, J
ORCID: 0000-0002-4875-2127 and Park, H-J 2019
, 'Data mining and statistical approaches in debris-flow susceptibility modelling using airborne LiDAR data'
, Sensors, vol. 19, no. 16
, pp. 1-32
, doi: https://doi.org/10.3390/s19163451.

McKercher, B, Hardy, A
ORCID: 0000-0003-1461-2967 and Aryal, J
ORCID: 0000-0002-4875-2127 2019
, 'Using tracking technology to improve marketing: insights from a historic town in Tasmania, Australia'
, Journal of Travel and Tourism Marketing, no. 22 Feb
, pp. 1-12
, doi: https://doi.org/10.1080/10548408.2019.1580243.


Melville, B
ORCID: 0000-0003-3040-6071, Lucieer, A
ORCID: 0000-0002-9468-4516 and Aryal, J
ORCID: 0000-0002-4875-2127 2018
, 'Assessing the impact of spectral resolution on classification of lowland native grassland communities based on field spectroscopy in Tasmania, Australia'
, Remote Sensing, vol. 10, no. 2
, pp. 1-19
, doi: https://doi.org/10.3390/rs10020308.



Melville, B
ORCID: 0000-0003-3040-6071, Lucieer, A
ORCID: 0000-0002-9468-4516 and Aryal, J
ORCID: 0000-0002-4875-2127 2019
, 'Classification of lowland native grassland communities using hyperspectral Unmanned Aircraft System (UAS) Imagery in the Tasmanian midlands'
, Drones, vol. 3, no. 1
, pp. 1-12
, doi: https://doi.org/10.3390/drones3010005.



Melville, B
ORCID: 0000-0003-3040-6071, Lucieer, A
ORCID: 0000-0002-9468-4516 and Aryal, J
ORCID: 0000-0002-4875-2127 2018
, 'Object-based random forest classification of Landsat ETM+ and WorldView2 satellite imagery for mapping lowland native grassland communities in Tasmania, Australia'
, International Journal of Applied Earth Observation and Geoinformation, vol. 66
, pp. 46-55
, doi: https://doi.org/10.1016/j.jag.2017.11.006 Rece.



Nampak, H, Love, P
ORCID: 0000-0001-7840-0467, Fox-Hughes, Paul, Watson, C
ORCID: 0000-0002-7464-4592, Aryal, J
ORCID: 0000-0002-4875-2127 and Harris, RMB
ORCID: 0000-0002-6426-2179 2021
, 'Characterizing spatial and temporal variability of lightning activity associated with wildfire over Tasmania, Australia'
, Fire, vol. 4, no. 1
, pp. 1-22
, doi: https://doi.org/10.3390/fire4010010.




Oloo, F, Safi, K and Aryal, J
ORCID: 0000-0002-4875-2127 2018
, 'Predicting migratory corridors of white storks, Ciconia ciconia, to enhance sustainable wind energy planning: a data-driven agent-based model'
, Sustainability, vol. 10, no. 5
, pp. 1-22
, doi: https://doi.org/10.3390/su10051470.

Ozaki, M, Aryal, J
ORCID: 0000-0002-4875-2127 and Fox-Hughes, P 2019
, 'Dynamic wildfire navigation system'
, International Journal of Geo-Information, vol. 8, no. 4
, pp. 1-21
, doi: https://doi.org/10.3390/ijgi8040194.

Ozaki, M, Harris, RMB
ORCID: 0000-0002-6426-2179, Love, PT
ORCID: 0000-0001-7840-0467, Aryal, J
ORCID: 0000-0002-4875-2127, Fox-Hughes, P and Williamson, GJ
ORCID: 0000-0002-3469-7550 2022
, 'Impact of vertical atmospheric structure on an atypical fire in a mountain valley'
, Fire, vol. 5, no. 4
, pp. 1-19
, doi: https://doi.org/10.3390/fire5040104.




Piralilou, ST, Shahabi, H, Jarihani, B, Ghorbanzadeh, O, Blaschke, T, Gholamnia, K, Meena, SR and Aryal, J
ORCID: 0000-0002-4875-2127 2019
, 'Landslide detection using multi-scale image segmentation and different machine learning models in the higher Himalayas'
, Remote Sensing, vol. 11, no. 21
, pp. 1-26
, doi: https://doi.org/10.3390/rs11212575.

Ragaini, BS, Sharman, MJ, Lyth, A, Jose, KA
ORCID: 0000-0002-9346-6429, Blizzard, L
ORCID: 0000-0002-9541-6943, Peterson, C
ORCID: 0000-0002-5678-1788, Johnston, FH
ORCID: 0000-0002-5150-8678, Palmer, AJ
ORCID: 0000-0002-9703-7891, Aryal, J
ORCID: 0000-0002-4875-2127, Williams, J, Marshall, EA, Morse, M and Cleland, VJ
ORCID: 0000-0001-8358-3237 2020
, 'A mixed-methods study of the demographic and behavioural correlates of walking to a more distant bus stop'
, Transportation Research Interdisciplinary Perspectives, vol. 6
, pp. 1-7
, doi: https://doi.org/10.1016/j.trip.2020.100164.







Rajbhandari, S
ORCID: 0000-0002-9952-0801, Aryal, J
ORCID: 0000-0002-4875-2127, Osborn, J
ORCID: 0000-0003-2278-3766, Lucieer, A
ORCID: 0000-0002-9468-4516 and Musk, R 2019
, 'Leveraging machine learning to extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): a case study in forest-type mapping'
, Remote Sensing, vol. 11, no. 5
, pp. 1-25
, doi: https://doi.org/10.3390/rs11050503.




Rajbhandari, S
ORCID: 0000-0002-9952-0801, Aryal, J
ORCID: 0000-0002-4875-2127, Osborn, J
ORCID: 0000-0003-2278-3766, Musk, R and Lucieer, A
ORCID: 0000-0002-9468-4516 2017
, 'Benchmarking the applicability of ontology in geographic object-based image analysis'
, ISPRS International Journal of Geo-Information, vol. 6
, pp. 1-24
, doi: https://doi.org/10.3390/ijgi6120386.




Roodposhti, MS, Aryal, J
ORCID: 0000-0002-4875-2127 and Bryan, BA 2018
, 'A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change'
, Environmental Modelling and Software
, doi: https://doi.org/10.1016/j.envsoft.2018.10.006.

Roodposhti, MS, Aryal, J
ORCID: 0000-0002-4875-2127, Lucieer, A
ORCID: 0000-0002-9468-4516 and Bryan, BA 2019
, 'Uncertainty assessment of hyperspectral image classification: Deep learning vs. random forest'
, Entropy, vol. 21, no. 1
, pp. 1-15
, doi: https://doi.org/10.3390/e21010078.


Roodposhti, MS, Aryal, J
ORCID: 0000-0002-4875-2127 and Pradhan, B 2019
, 'A novel rule-based approach in mapping landslide susceptibility'
, Sensors, vol. 19, no. 10
, pp. 1-20
, doi: https://doi.org/10.3390/s19102274.

Shekhar, S and Aryal, J
ORCID: 0000-0002-4875-2127 2019
, 'Role of geospatial technology in understanding urban green space of Kalaburagi city for sustainable planning'
, Urban Forestry and Urban Greening
, doi: https://doi.org/10.1016/j.ufug.2019.126450.

Timilsina, S, Aryal, J
ORCID: 0000-0002-4875-2127 and Kirkpatrick, JB
ORCID: 0000-0003-2763-2692 2020
, 'Mapping urban tree cover changes using object-based convolution neural network (OB-CNN)'
, Remote Sensing, vol. 12, no. 18
, pp. 1-27
, doi: https://doi.org/10.3390/RS12183017.


Ujjwal, KC, Garg, S
ORCID: 0000-0003-3510-2464, Hilton, J and Aryal, J
ORCID: 0000-0002-4875-2127 2020
, 'A cloud-based framework for sensitivity analysis of natural hazard models'
, Environmental Modelling & Software, vol. 134
, pp. 1-14
, doi: https://doi.org/10.1016/j.envsoft.2020.104800.


Ujjwal, KC, Garg, S
ORCID: 0000-0003-3510-2464, Hilton, J, Aryal, J
ORCID: 0000-0002-4875-2127 and Forbes-Smith, N 2019
, 'Cloud computing in natural hazard modeling systems: current research trends and future directions'
, International Journal of Disaster Risk Reduction, vol. 38
, pp. 1-23
, doi: https://doi.org/10.1016/j.ijdrr.2019.101188.


Book Section
Rajbhandari, S
ORCID: 0000-0002-9952-0801, Aryal, J
ORCID: 0000-0002-4875-2127, Osborn, J
ORCID: 0000-0003-2278-3766, Lucieer, A
ORCID: 0000-0002-9468-4516 and Musk, R 2018
, 'Employing ontology to capture expert intelligence within GEOBIA: automation of the interpretation process', in RA White and A Coltekin and RR Hoffman (eds.), Remote Sensing and Cognition: Human Factors in Image Interpretation
, Taylor and Francis Group, United States, pp. 151-175.




Conference Publication
Minh-Thai, TN, Aryal, J
ORCID: 0000-0002-4875-2127, Samarasinghe, J and Levin, M 2018
, 'A computational framework for autonomous self-repair systems', in T Mitrovic and B Xue and X Li (eds.),
Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence (AI 2018)
, Springer, Switzerland, pp. 1-6
, doi: https://doi.org/10.1007/978-3-030-03991-2.

Timilsina, S, Sharma, SK and Aryal, J
ORCID: 0000-0002-4875-2127 2019
, 'Mapping urban trees within cadastral parcels using an object-based convolutional neural network', in K McDougall and GP Bhatta and DR Paudyal and R Shrestha and PS Upadhyaya and TP Dahal and B Ranjit (eds.),
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, Copernicus GmbH, Germany, pp. 111-117
, doi: https://doi.org/10.5194/isprs-annals-IV-5-W2-111-2019.

This list was generated on Thu Feb 9 01:54:28 2023 AEDT.