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Jagannath Aryal

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Jagannath Aryal

Jagannath Aryal

Senior Lecturer
Geography & Spatial Sciences

Room 229, Old IMAS Building (Surveying and Spatial Sciences), Sandy Bay Campus

+61 3 6226 2848 (phone)

Jagannath.Aryal@utas.edu.au

Dr Jagannath Aryal is fascinated by the field of spatial hierarchies, multi-scaling issues, and understanding changes in the environment. He earned his research higher degrees from the Netherlands, New Zealand, and post-doctoral research experience from France, all in merit-based scholarships/appointment.

Biography

Before joining the University of Tasmania, Jagannath was a post-doctoral researcher at the University of Avignon and CNRS, France. Prior to joining CNRS, France, Jagannath educated in Nepal, The Netherlands and New Zealand. A well-travelled Jagannath has experience of different high impact educational institutions from different continents. His research collaboration on geospatial analysis and data analytics extend to the prominent UK/European universities (including the University of Cambridge; CNRS, France; University of Salzburg).

Career summary

Qualifications

DegreeThesis TitleUniversityCountryAwarded
PhDOptimisation and Systems Modelling: Buyers' Behaviour in agri-commodity tradingLincoln University, Centre for Advanced Computational Solutions (CfACS), LincolnNew ZealandApril 2010
MSc (Distinction)Multi-resolution imagery and geographic object-based image analysis (GEOBIA) for vegetation mapping of urban areas: case study of Dunedin city, New ZealandUniversity of Otago, School of Surveying, DunedinNew ZealandDec  2006
MastersStatistical Association and Application of Measures in Remote Sensing Images.International Institute for Geo-information Science and Earth Observation (ITC), EnschedeThe NetherlandsSept 2003

Languages (other than English)

  • Nepali
  • Hindi
  • French (limited)

Memberships

Professional practice

  • 2014: ASIERA steering committee
  • 2011: Quantitative Methods Research Group (QMRG) of the Royal Geographical Society – With the Institute of British Geographers (Online subscription)
  • 2007-10: Society of Industrial and Applied Mathematics (SIAM, USA)
  • 2007-10: Centre for Advanced Computational Solutions (C-f-ACS), New Zealand

Committee associations

Administrative expertise

Teaching

Geographic Information Systems /Sciences (GIS), Spatial Sciences, GEOBIA, Earth Observation, Vegetation mapping, Bush-fire, Environmental Modelling, Quantitative Change Detection and Spatial Statistics

Teaching expertise

Jagannath's teaching expertise include surveying and spatial sciences with a focus on Geographic Information Science and spatial hierarchies. He designs and formulates the lectures, practicals and tutorials of the units that he co-ordinates and lectures.

Teaching responsibility

  • KGG102 – Introduction to Geographic Information Systems (Unit Coordinator and Lecturer)
  • KGG255 – Surveying 1 (Unit Coordinator and Lecturer)
  • KGG320 – Surveying 3 (Unit Coordinator and Lecturer)
  • KGG539 – Environmental Geographic Information Science A (Unit Coordinator and Lecturer)
  • KGA213 – Natural Environment Field Techniques (Lecturer)

Research Appointments

Scientific committee member:

Awards / Appointments / Nominations:

Research Invitations

  • 2015: Spatial hierarchies, multi-scale modelling and environmental processes. University of Cambridge, United Kingdom
  • 2015: Multi-scaling and spatial hierarchies. CNRS, Avignon, France
  • 2013: MODIS Satellite Imagery and Machine Learning to Estimate Continental Scale Fire. Laboratoire Informatique d'Avignon, University of Avignon, Avignon, France
  • 2013: Geographic Object Based Image Analysis (GEOBIA): Applications, Challenges and Future Outlook. Department of Geo-informatics (Z GIS), University of Salzburg, Salzburg, Austria
  • 2012: Association of Spatial Object Recognition and GEOBIA. International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, Nepal
  • 2011: Assessing Biodiversity using GEOBIA in multi-scale domain: tests in different geographical territories. Royal Botanic Garden (RBG), Scotland, Edinburgh, United Kingdom

View more on Dr Jagannath Aryal in WARP

Expertise

  • Geographic Object Based Image Analysis (GEOBIA)
  • Spatial Statistics
  • Quantitative change detection in Earth Observation data
  • Vegetation mapping
  • Bush-fire monitoring and prediction techniques
  • Multi-scaling issues in environmental processes
  • Issues in spatial aggregation, disaggregation and visualisation

Research Themes

Jagannath's research aligns to the University's research theme of Environment, Resources and Sustainability; and Data, Knowledge and Decisions. His research on spatial change detection embrace Earth Observation (EO) data quality, analysis, and modelling in better understanding various local and global problems. His research activities and interest surround on environment and EO data. His interests include in better understanding changes in environmental processes over time and their impact to us. The processes include vegetation change, bush-fire monitoring and mapping, systems modelling, spatial analysis, pattern recognition, and modelling of tourists behaviour.

Jagannath is also working on understanding vegetation health stress due to natural phenomena using modelling techniques (Spatial statistics) and EO data (MODIS, Landsat, Sentinel) available from NASA / ESA / GeoScience Australia. To address conservation issues e.g. native-grasslands mapping and monitoring, forest changes and land cover/land use changes he is using high spatio-temporal resolution remote sensing data and state-of-the-art spatial analysis (GEOBIA), modelling (scaling-laws) including cellular automata techniques and spatial ontologies.

Collaboration

Jagannath is currently collaborating with ZGIS, University of Salzburg, Austria. The collaborative projects with ZGIS aim to understand the spatial hierarchies of the landscape using spatial statistics, machine learning and statistical modelling. Recently, Jagannath has established a collaborative project with researchers from Australian National University and University of Oxford, UK in predictive bushfire mapping. A project with University of Cambridge and Northumbria University, UK to answer questions related with environmental processes using GIS and spatial statistics in Bayesian settings is in progress.

Established national collaboration with University Technology Sydney in data analytics and modelling is continuing. Past and ongoing collaboration in spatial analysis and statistical modelling include University of Twente (The Netherlands), University of Otago, Lincoln University (New Zealand), and Tufts University, Boston, USA.

Current projects

  • Tourist Tracking Technology Phase 2 Development (2017 - 2018)
  • Tracking trail users' movement in the Skane region of Sweden using the Tracer technology (2017)
  • An object based spatial statistical approach in mapping smart cities (2016)
  • Science-based interventions reversing negative impacts of invasive plants in Nepal (2016 - 2019)

View more on the Funding tab.

Fields of Research

  • Photogrammetry and Remote Sensing (090905)
  • Tourist Behaviour and Visitor Experience (150606)
  • Environmental Management (050205)
  • Geospatial Information Systems (090903)
  • Geomatic Engineering (090999)
  • Surveying (incl. Hydrographic Surveying) (090906)
  • Economic Geography (160401)
  • Conservation and Biodiversity (050202)
  • Health, Clinical and Counselling Psychology (170106)
  • Tourism Marketing (150604)
  • Distributed and Grid Systems (080501)
  • Social and Cultural Geography (160403)
  • Impacts of Tourism (150601)
  • Forestry Fire Management (070503)
  • Wildlife and Habitat Management (050211)
  • Physical Geography and Environmental Geoscience (040699)
  • Natural Resource Management (050209)
  • Invasive Species Ecology (050103)
  • Agricultural Systems Analysis and Modelling (070105)
  • Sociology and Social Studies of Science and Technology (160808)
  • Sustainable Agricultural Development (070108)
  • Landscape Ecology (050104)
  • Environmental Monitoring (050206)
  • Ecological Impacts of Climate Change (050101)
  • Health Promotion (111712)
  • Human Geography (160499)
  • Tourism Policy (160513)

Research Objectives

  • Expanding Knowledge in the Earth Sciences (970104)
  • Urban and Industrial Flora, Fauna and Biodiversity (960812)
  • Expanding Knowledge in the Environmental Sciences (970105)
  • Tourism (900399)
  • Environmental Management Systems (960604)
  • Natural Hazards in Mountain and High Country Environments (961008)
  • Forest and Woodlands Flora, Fauna and Biodiversity (960806)
  • Tourism Infrastructure Development (900303)
  • Forest and Woodlands Land Management (960906)
  • Land and Water Management of environments (960999)
  • Ecosystem Assessment and Management of Sparseland, Permanent Grassland and Arid Zone Environments (960510)
  • Natural Hazards in Forest and Woodlands Environments (961004)
  • Environmental and Natural Resource Evaluation (960699)
  • Behaviour and Health (920401)
  • Environment (969999)
  • Natural Hazards in Coastal and Estuarine Environments (961002)
  • Flora, Fauna and Biodiversity of environments (960899)
  • Application Tools and System Utilities (890202)
  • Socio-Cultural Issues in Tourism (900302)
  • Expanding Knowledge in the Mathematical Sciences (970101)
  • Ecosystem Assessment and Management of Urban and Industrial Environments (960511)
  • Natural Hazards (961099)
  • Water Allocation and Quantification (960913)
  • Education and Training Systems Policies and Development (930501)
  • Expanding Knowledge in the Agricultural and Veterinary Sciences (970107)
  • Urban Planning (870105)
  • Equity and Access to Education (939903)
  • Expanding Knowledge in Engineering (970109)
  • Sustainability Indicators (960609)
  • Flora, Fauna and Biodiversity at Regional or Larger Scales (960805)
  • Climate Change Mitigation Strategies (960302)
  • Nutrition (920411)
  • Urban and Industrial Land Management (960911)
  • Global Effects of Climate Change and Variability (excl. Australia, New Zealand, Antarctica and the South Pacific) (excl. Social Impacts) (960310)
  • Natural Hazards in Urban and Industrial Environments (961010)
  • Economic Issues in Tourism (900301)
  • Farmland, Arable Cropland and Permanent Cropland Soils (961402)
  • Expanding Knowledge in the Information and Computing Sciences (970108)
  • Farmland, Arable Cropland and Permanent Cropland Land Management (960904)
  • Social Impacts of Climate Change and Variability (960311)
  • Ecosystem Assessment and Management at Regional or Larger Scales (960501)
  • Environmentally Sustainable Plant Production (829899)
  • Social Structure and Health (920413)
  • Urban Land Policy (960708)
  • Food Safety (920406)

Publications

Jagannath's publications contribute in better understanding the environmental processes where he primarily uses Earth Observation data and spatial modelling along with data analytics. Significant publications include mapping backyard gardens, large-scale vegetation communities, stochastic mathematical modelling of forest health, bush-fire mapping and prediction using Earth Observation data. He publishes in high impact factor journals.

Total publications

96

Journal Article

(46 outputs)
YearCitationAltmetrics
2019Piralilou ST, Shahabi H, Jarihani B, Ghorbanzadeh O, Blaschke T, et al., 'Landslide detection using multi-scale image segmentation and different machine learning models in the higher Himalayas', Remote Sensing, 11, (21) Article 2575. ISSN 2072-4292 (2019) [Refereed Article]

DOI: 10.3390/rs11212575 [eCite] [Details]

Citations: Scopus - 1

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2019Ghorbanzadeh O, Blaschke T, Gholamnia K, Aryal J, 'Forest fire susceptibility and risk mapping using social/infrastructural vulnerability and environmental variables', Fire, 2, (3) Article 50. ISSN 2571-6255 (2019) [Refereed Article]

DOI: 10.3390/fire2030050 [eCite] [Details]

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2019Ghorbanzadeh O, Valizadeh Kamran K, Blaschke T, Aryal J, Naboureh A, et al., 'Spatial prediction of wildfire susceptibility using field survey GPS data and machine learning approaches', Fire, 2, (3) Article 43. ISSN 2571-6255 (2019) [Refereed Article]

DOI: 10.3390/fire2030043 [eCite] [Details]

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2019Hardy A, Aryal J, 'Using innovations to understand tourist mobility in national parks', Journal of Sustainable Tourism ISSN 0966-9582 (In Press) [Refereed Article]

DOI: 10.1080/09669582.2019.1670186 [eCite] [Details]

Co-authors: Hardy A

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2019Hardy A, Aryal J, Wells MP, 'Comparing techniques for tracking: the case of Tourism Tracer in Tasmania, Australia', E-review of Tourism Research, 16, (2/3) pp. 84-94. ISSN 1941-5842 (2019) [Refereed Article]

[eCite] [Details]

Co-authors: Hardy A; Wells MP

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2019Lay SU, Pradhan B, Yusoff ZBM, Abdallah AFB, Aryal J, et al., 'Data mining and statistical approaches in debris-flow susceptibility modelling using airborne LiDAR data ', Sensors, 19, (16) Article 3451. ISSN 1424-8220 (2019) [Refereed Article]

DOI: 10.3390/s19163451 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

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2019McKercher B, Hardy A, Aryal J, 'Using tracking technology to improve marketing: insights from a historic town in Tasmania, Australia', Journal of Travel and Tourism Marketing, 36, (7) pp. 823-834. ISSN 1054-8408 (2019) [Refereed Article]

DOI: 10.1080/10548408.2019.1580243 [eCite] [Details]

Citations: Scopus - 1Web of Science - 1

Co-authors: Hardy A

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2019Melville B, Lucieer A, Aryal J, 'Classification of lowland native grassland communities using hyperspectral Unmanned Aircraft System (UAS) Imagery in the Tasmanian midlands', Drones, 3, (1) Article 5. ISSN 2504-446X (2019) [Refereed Article]

DOI: 10.3390/drones3010005 [eCite] [Details]

Co-authors: Melville B; Lucieer A

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2019Ozaki M, Aryal J, Fox-Hughes P, 'Dynamic wildfire navigation system', International Journal of Geo-Information, 8, (4) Article 194. ISSN 2220-9964 (2019) [Refereed Article]

DOI: 10.3390/ijgi8040194 [eCite] [Details]

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2019Ghorbanzadeh O, Meena SR, Blaschke T, Aryal J, 'UAV-based slope failure detection using deep-learning convolutional neural networks', Remote Sensing, 11, (17) Article 2046. ISSN 2072-4292 (2019) [Refereed Article]

DOI: 10.3390/rs11172046 [eCite] [Details]

Citations: Scopus - 1

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2019Pradhan B, Aryal J, 'Mass movement and soil erosion monitoring using remote sensing' ISSN 2072-4292 (In Press) [Edited Journal]

[eCite] [Details]

2019Rajbhandari S, Aryal J, Osborn J, Lucieer A, Musk R, 'Leveraging machine learning to extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): a case study in forest-type mapping', Remote Sensing, 11, (5) Article 503. ISSN 2072-4292 (2019) [Refereed Article]

DOI: 10.3390/rs11050503 [eCite] [Details]

Citations: Scopus - 2

Co-authors: Rajbhandari S; Osborn J; Lucieer A; Musk R

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2019Roodposhti MS, Aryal J, Bryan BA, 'A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change', Environmental Modelling and Software, 112 pp. 70-81. ISSN 1364-8152 (2019) [Refereed Article]

DOI: 10.1016/j.envsoft.2018.10.006 [eCite] [Details]

Citations: Scopus - 9Web of Science - 8

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2019Roodposhti MS, Aryal J, Lucieer A, Bryan BA, 'Uncertainty assessment of hyperspectral image classification: Deep learning vs. random forest', Entropy, 21, (1) Article 78. ISSN 1099-4300 (2019) [Refereed Article]

DOI: 10.3390/e21010078 [eCite] [Details]

Citations: Scopus - 4Web of Science - 3

Co-authors: Lucieer A

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2019Roodposhti MS, Aryal J, Pradhan B, 'A novel rule-based approach in mapping landslide susceptibility', Sensors, 19, (10) Article 2274. ISSN 1424-8220 (2019) [Refereed Article]

DOI: 10.3390/s19102274 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

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2019Shekhar S, Aryal J, 'Role of geospatial technology in understanding urban green space of Kalaburagi city for sustainable planning', Urban Forestry and Urban Greening ISSN 1618-8667 (2019) [Refereed Article]

DOI: 10.1016/j.ufug.2019.126450 [eCite] [Details]

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2019Ujjwal KC, Garg S, Hilton J, Aryal J, Forbes-Smith N, 'Cloud computing in natural hazard modeling systems: current research trends and future directions', International Journal of Disaster Risk Reduction ISSN 2212-4209 (In Press) [Refereed Article]

DOI: 10.1016/j.ijdrr.2019.101188 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Garg S

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2019Ghorbanzadeh O, Blaschke T, Gholamnia K, Meena SR, Tiede D, et al., 'Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection', Remote Sensing, 11, (2) Article 196. ISSN 2072-4292 (2019) [Refereed Article]

DOI: 10.3390/rs11020196 [eCite] [Details]

Citations: Scopus - 17Web of Science - 12

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2018Garg S, Aryal J, Wang H, Shah T, Kecskemeti G, et al., 'Cloud computing based bushfire prediction for cyber-physical emergency applications', Future Generation Computer Systems, 79 pp. 354-363. ISSN 0167-739X (2018) [Refereed Article]

DOI: 10.1016/j.future.2017.02.009 [eCite] [Details]

Citations: Scopus - 6Web of Science - 5

Co-authors: Garg S

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2018Ghorbanzadeh O, Rostamzadeh H, Blaschke T, Gholaminia K, Aryal J, '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, 94, (2) pp. 497-517. ISSN 0921-030X (2018) [Refereed Article]

DOI: 10.1007/s11069-018-3449-y [eCite] [Details]

Citations: Scopus - 15Web of Science - 14

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2018Ghorbanzadeh O, Rostamzadeh H, Blaschke T, Gholaminia K, Aryal J, 'A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping', Journal of Spatial Science, 94, (2) pp. 1-18. ISSN 1449-8596 (2018) [Refereed Article]

DOI: 10.1080/14498596.2018.1505564 [eCite] [Details]

Citations: Scopus - 15

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2018Melville B, Lucieer A, Aryal J, 'Object-based random forest classification of Landsat ETM+ and WorldView-2 satellite imagery for mapping lowland native grassland communities in Tasmania, Australia', International Journal of Applied Earth Observation and Geoinformation, 66 pp. 46-55. ISSN 1569-8432 (2018) [Refereed Article]

DOI: 10.1016/j.jag.2017.11.006 [eCite] [Details]

Citations: Scopus - 10Web of Science - 8

Co-authors: Melville B; Lucieer A

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2018Melville B, Lucieer A, Aryal J, 'Assessing the impact of spectral resolution on classification of lowland native grassland communities based on field spectroscopy in Tasmania, Australia', Remote Sensing, 10, (2) Article 308. ISSN 2072-4292 (2018) [Refereed Article]

DOI: 10.3390/rs10020308 [eCite] [Details]

Citations: Scopus - 1Web of Science - 2

Co-authors: Melville B; Lucieer A

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2018Oloo F, Safi K, Aryal J, 'Predicting migratory corridors of white storks, Ciconia ciconia, to enhance sustainable wind energy planning: a data-driven agent-based model', Sustainability, 10, (5) Article 1470. ISSN 1937-0695 (2018) [Refereed Article]

DOI: 10.3390/su10051470 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

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2017Feizizadeh B, Roodposhti MS, Blaschke T, Aryal J, 'Comparing GIS-based support vector machine kernel functions for landslide susceptibility mapping', Arabian Journal of Geosciences, 10, (5) Article 122. ISSN 1866-7511 (2017) [Refereed Article]

DOI: 10.1007/s12517-017-2918-z [eCite] [Details]

Citations: Scopus - 29Web of Science - 25

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2017Rajbhandari S, Aryal J, Osborn J, Musk R, Lucieer A, 'Benchmarking the applicability of ontology in geographic object-based image analysis', ISPRS International Journal of Geo-Information, 6 Article 386. ISSN 2220-9964 (2017) [Refereed Article]

DOI: 10.3390/ijgi6120386 [eCite] [Details]

Citations: Scopus - 4Web of Science - 3

Co-authors: Rajbhandari S; Osborn J; Lucieer A

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2017Hardy A, Hyslop S, Booth K, Robards B, Aryal J, et al., 'Tracking tourists' travel with smartphone-based GPS technology: a methodological discussion', Information Technology & Tourism, 17, (3) pp. 255-274. ISSN 1943-4294 (2017) [Refereed Article]

DOI: 10.1007/s40558-017-0086-3 [eCite] [Details]

Citations: Scopus - 21Web of Science - 16

Co-authors: Hardy A; Hyslop S; Booth K; Robards B; Eccleston R

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2016Anees A, Aryal J, O'Reilly M, Gale TJ, 'A relative density ratio-based framework for detection of land cover changes in MODIS NDVI time series', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, (8) pp. 3359-3371. ISSN 1939-1404 (2016) [Refereed Article]

DOI: 10.1109/JSTARS.2015.2428306 [eCite] [Details]

Citations: Scopus - 8Web of Science - 7

Co-authors: Anees A; O'Reilly M; Gale TJ

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2016Anees A, Aryal J, O'Reilly MM, Gale TJ, Wardlaw T, 'A robust multi-kernel change detection framework for detecting leaf beetle defoliation using Landsat 7 ETM+ data', ISPRS Journal of Photogrammetry and Remote Sensing, 122 pp. 167-178. ISSN 0924-2716 (2016) [Refereed Article]

DOI: 10.1016/j.isprsjprs.2016.10.011 [eCite] [Details]

Citations: Scopus - 6Web of Science - 6

Co-authors: Anees A; O'Reilly MM; Gale TJ; Wardlaw T

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2016Dutta R, Das A, Aryal J, 'Big data integration shows Australian bush-fire frequency is increasing significantly', Royal Society Open Science, 3, (2) Article 150241. ISSN 2054-5703 (2016) [Refereed Article]

DOI: 10.1098/rsos.150241 [eCite] [Details]

Citations: Scopus - 20Web of Science - 17

Co-authors: Das A

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2016Roodposhti MS, Aryal J, Shahabi H, Safarrad T, 'Fuzzy Shannon entropy: a hybrid GIS-based Landslide Susceptibility Mapping method', Entropy, 18, (10) Article e18100343. ISSN 1099-4300 (2016) [Refereed Article]

DOI: 10.3390/e18100343 [eCite] [Details]

Citations: Scopus - 29Web of Science - 27

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2015Bhandari KP, Aryal J, Darnsawasdi R, 'A geospatial approach to assessing soil erosion in a watershed by integrating socio-economic determinants and the RUSLE model', Natural Hazards, 75, (1) pp. 321-342. ISSN 0921-030X (2015) [Refereed Article]

DOI: 10.1007/s11069-014-1321-2 [eCite] [Details]

Citations: Scopus - 24Web of Science - 24

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2015Louvet R, Aryal J, Josselin D, Genre-Grandpierre C, 'R as a GIS: illustrating scale and aggregation problems with forest fire data', Procedia Environmental Sciences, 27 pp. 66-69. ISSN 1878-0296 (2015) [Refereed Article]

DOI: 10.1016/j.proenv.2015.07.118 [eCite] [Details]

Citations: Web of Science - 3

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2014Anees A, Aryal J, 'A statistical framework for near-real time detection of beetle infestation in pine forests using MODIS data', IEEE Geoscience and Remote Sensing Letters, 11, (10) pp. 1717-1721. ISSN 1545-598X (2014) [Refereed Article]

DOI: 10.1109/LGRS.2014.2306712 [eCite] [Details]

Citations: Scopus - 14Web of Science - 13

Co-authors: Anees A

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2014Anees A, Aryal J, 'Near-real time detection of beetle infestation in pine forests using MODIS data', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, (9) pp. 3713-3723. ISSN 1939-1404 (2014) [Refereed Article]

DOI: 10.1109/JSTARS.2014.2330830 [eCite] [Details]

Citations: Scopus - 17Web of Science - 14

Co-authors: Anees A

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2014Aryal J, Josselin D, 'Environmental object recognition in a natural image: an experimental approach using geographic object based image analysis (GEOBIA)', International Journal of Agricultural and Environmental Information Systems, 5, (1) pp. 1-18. ISSN 1947-3192 (2014) [Refereed Article]

DOI: 10.4018/ijaeis.2014010101 [eCite] [Details]

Citations: Scopus - 3

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2014Dutta R, Morshed A, Aryal J, D'Este C, Das A, 'Development of an intelligent environmental knowledge system for sustainable agricultural decision support', Environmental Modelling and Software, 52 pp. 264-272. ISSN 1364-8152 (2014) [Refereed Article]

DOI: 10.1016/j.envsoft.2013.10.004 [eCite] [Details]

Citations: Scopus - 25Web of Science - 20

Co-authors: Das A

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2013Dutta R, Aryal J, Das A, Kirkpatrick JB, 'Deep cognitive imaging systems enable estimation of continental-scale fire incidence from climate data', Scientific Reports, 3 Article 3188. ISSN 2045-2322 (2013) [Refereed Article]

DOI: 10.1038/srep03188 [eCite] [Details]

Citations: Scopus - 17Web of Science - 11

Co-authors: Das A; Kirkpatrick JB

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2013Dutta R, D'Este C, Morshed A, Smith D, Das A, et al., 'Dynamic evaluation and visualisation of the quality and reliability of sensor data sources', International Journal of Advanced Computer Science and Applications, 4, (8) pp. 96-103. ISSN 2156-5570 (2013) [Refereed Article]

DOI: 10.14569/IJACSA.2013.040814 [eCite] [Details]

Co-authors: Das A

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2013Rojas-Mora J, Josselin D, Aryal J, Mangiavillano A, Ellerkamp P, 'The weighted fuzzy barycenter: definition and application to forest fire control in the PACA region', International Journal of Agricultural and Environmental Information Systems, 4, (4) pp. 48-67. ISSN 1947-3192 (2013) [Refereed Article]

DOI: 10.4018/ijaeis.2013100103 [eCite] [Details]

Citations: Scopus - 8

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2009Scott D, Moller H, Fletcher D, Newman J, Aryal J, et al., 'Predictive habitat modelling to estimate petrel breeding colony sizes: sooty shearwaters (Puffinus griseus) and mottled petrels (Pterodroma inexpectata) on Whenua Hou Island', New Zealand Journal of Zoology, 36, (3) pp. 291-306. ISSN 0301-4223 (2009) [Refereed Article]

DOI: 10.1080/03014220909510156 [eCite] [Details]

Citations: Scopus - 28Web of Science - 27

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2008Aryal J, Kulasiri D, Carnaby GA, 'Auction Theory: Bidder's Perspective in a Public Out-Cry English Auction', International Journal of Computer and Information Science and Engineering, 2, (7) pp. 428-432. ISSN 1307-4164 (2008) [Refereed Article]

[eCite] [Details]

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2008Aryal J, Kulasiri D, Liu D, 'Optimization Approaches for a Complex Dairy Farm Simulation Model', International Journal of Computer and Information Engineering, 2, (3) pp. 157-163. ISSN 1307-2331 (2008) [Refereed Article]

[eCite] [Details]

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2007Mathieu R, Aryal J, Chong AK, 'Object-Based Classification of Ikonos Imagery for Mapping Large-Scale Vegetation Communities in Urban Areas', Sensors, 2007, (7) pp. 2860-2880. ISSN 1424-8220 (2007) [Refereed Article]

DOI: 10.3390/s7112860 [eCite] [Details]

Citations: Scopus - 102Web of Science - 88

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2007Mathieu R, Freeman C, Aryal J, 'Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery', Landscape and Urban Planning: An International Journal on Landscape Design, Conservation and Reclamation, Planning and Urban Ecology, 81, (3) pp. 179-192. ISSN 0169-2046 (2007) [Refereed Article]

DOI: 10.1016/j.landurbplan.2006.11.009 [eCite] [Details]

Citations: Scopus - 216Web of Science - 188

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2005Stein A, Aryal J, Gort G, 'Use of the Bradley-Terry Model to Quantify Association in Remotely Sensed Images', I E E E Transactions on Geoscience and Remote Sensing, 43, (4) pp. 852-856. ISSN 0196-2892 (2005) [Refereed Article]

DOI: 10.1109/TGRS.2005.843569 [eCite] [Details]

Citations: Scopus - 21Web of Science - 17

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Book

(1 outputs)
YearCitationAltmetrics
2009Aryal J, 'Remote Sensing Satellite Images for Vegetation Mapping: Multi-resolution Imagery and Object-oriented Techniques for Vegetation Mapping of Urban Areas', Lambert Academic Publishing, Germany, pp. 164. ISBN 978-3838325453 (2009) [Authored Other Book]

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Chapter in Book

(2 outputs)
YearCitationAltmetrics
2018Rajbhandari S, Aryal J, Osborn J, Lucieer A, Musk R, 'Employing ontology to capture expert intelligence within GEOBIA: automation of the interpretation process', Remote Sensing and Cognition: Human Factors in Image Interpretation, Taylor and Francis Group, RA White, A Coltekin, RR Hoffman (ed), United States, pp. 151-175. ISBN 9781498781565 (2018) [Research Book Chapter]

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Co-authors: Rajbhandari S; Osborn J; Lucieer A

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2014Dutta R, Morshed A, Aryal J, 'Recommending Environmental Big Data Using Semantically Guided Machine Learning', Large Scale and Big Data: Processing and Management, CRC Press, S Sakr, MM Gaber (ed), Florida, USA, pp. 463-494. ISBN 978-1-4665-8150-0 (2014) [Research Book Chapter]

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Conference Publication

(42 outputs)
YearCitationAltmetrics
2018Minh-Thai TN, Aryal J, Samarasinghe J, Levin M, 'A computational framework for autonomous self-repair systems', Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence (AI 2018), 11-14 December 2018, Wellington, New Zealand, pp. 1-6. ISBN 978-3-030-03991-2 (2018) [Refereed Conference Paper]

DOI: 10.1007/978-3-030-03991-2 [eCite] [Details]

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2016Aryal J, 'Nominated to chair the session on Segmentation', 6th Geographic Object-Based Image Analysis Conference, 14-16 September 2016, Enschede, The Netherlands (2016) [Chair International Conference]

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2016Aryal J, Louvet R, 'Quantifying bushfire mapping uncertainty using single and multi-scale approach: a case study from Tasmania, Australia', GEOBIA 2016: Solutions and Synergies, 14-16 September 2016, Enschede, Netherlands, pp. 1-5. (2016) [Refereed Conference Paper]

DOI: 10.3990/2.364 [eCite] [Details]

Co-authors: Louvet R

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2016Louvet R, Aryal J, Josselin D, Marchand-Lagier C, Genre-Grandpierre C, 'The polygon overlay problem in electoral geography', Proceedings of Spatial Accuracy 2016, 5-8 July 2016, Montpellier, France, pp. 67-73. (2016) [Refereed Conference Paper]

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Co-authors: Louvet R

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2016Louvet R, Josselin D, Genre-Grandpierre C, Aryal J, 'Impact des niveaux d'echelle sur l'etude des feux de forets du sud-est de la France', CEUR Workshop Proceedings: Proceedings of the Spatial Analysis and GEOmatics conference, SAGEO 2015, 23-26 November 2015, Hammamet, Tunisia, pp. 254-268. ISSN 1613-0073 (2016) [Refereed Conference Paper]

DOI: 10.3166/rig.2016.00012 [eCite] [Details]

Citations: Web of Science - 1

Co-authors: Louvet R

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2016Aryal J, 'Application of Earth observation data and spatial analytics: impacts in multi-disciplinary research', 2016 Geography and Spatial Sciences Annual Conference, UTAS, 7-8 June 2016, University of Tasmania, Hobart (2016) [Conference Extract]

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2015Aryal J, Dutta R, 'Smart city and geospatiality: Hobart deeply learned', Proceedings of the 2015 IEEE 31st International Conference on Data Engineering Workshops, 13-17 April 2015, Seoul, South Korea, pp. 108-109. ISBN 978-1-4799-8441-1 (2015) [Refereed Conference Paper]

DOI: 10.1109/ICDEW.2015.7129557 [eCite] [Details]

Citations: Scopus - 5

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2015Louvet R, Aryal J, Josselin D, Genre-Grandpierre C, 'R as a GIS: illustrating scale and aggregation problems with forest fire data', Procedia Environmental Sciences Volume 27: Spatial Statistics 2015, 9-12 June 2015, Avignon, France, pp. 66-69. ISSN 1878-0296 (2015) [Non Refereed Conference Paper]

DOI: 10.1016/j.proenv.2015.07.118 [eCite] [Details]

Citations: Web of Science - 3

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2015Dutta R, Mueller H, Smith D, Das A, Aryal J, 'Interactive visual big data analytics for large area farm biosecurity monitoring: i-EKbase system', Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, 10-13 August 2015, Sydney, Australia, pp. 9-18. ISSN 1533-7928 (2015) [Refereed Conference Paper]

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Co-authors: Das A

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2015Li C, Dutta R, Smith D, Das A, Aryal J, 'Farm biosecurity hot spots prediction using big data analytics', Proceedings of the 2015 IEEE 31st International Conference on Data Engineering Workshops, 13-17 April 2015, Seoul, South Korea, pp. 101-104. ISBN 978-1-4799-8441-1 (2015) [Refereed Conference Paper]

DOI: 10.1109/ICDEW.2015.7129555 [eCite] [Details]

Co-authors: Das A

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2015Aryal J, 'Smart city and geospatiality: Hobart deeply learned', Geography and Spatial Sciences Annual Conference, 10-11 June 2015, Hobart, Australia (2015) [Conference Extract]

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2015Louvet R, Josselin D, Genre-Grandpierre C, Aryal J, 'Impact du changement d'echelle sur l'etude des causes des feux de forets du sud-est de la France', Proceedings of the Spatial Analysis and GEOmatics conference, SAGEO 2015, 23-26 November 2015, Hammamet, Tunisia, pp. 254-268. ISSN 1613-0073 (2015) [Refereed Conference Paper]

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2015Dutta R, Li C, Smith D, Das A, Aryal J, 'Big data architecture for environmental analytics', Environmental Software Systems: Infrastructure, Services and Applications, 25-27 March 2015, Melbourne, Australia, pp. 578-588. ISBN 978-3-319-15993-5 (2015) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-15994-2_59 [eCite] [Details]

Co-authors: Das A

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2014Aryal J, 'Nominated to chair the session on Urban Analysis II', 5th Geographic Object-Based Image Analysis Conference, 21-24 May 2014, Thessaloniki, Greece (2014) [Chair International Conference]

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2014Aryal J, 'Recognising geographic objects using GEOBIA: applications, challenges and future outlook', School of Land and Food Seminar Series, 21 November 2014, Hobart, Australia (2014) [Conference Extract]

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2014Aryal J, Didier J, 'Investigating aggregation effect in depicting urban tress in a geobia environment', 5th Geographic Object-Based Image Analysis Conference Book of Abstracts, 21-24 May 2014, Thessaloniki, Greece (2014) [Conference Extract]

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2014Aryal J, Morshed A, Dutta R, 'Land cover class extraction in GEOBIA using environmental spatial temporal ontology', South-Eastern European Journal of Earth Observation and Geomatics Special Issue, 21-24 May 2014, Thessaloniki, Greece, pp. 429-434. ISSN 2241-1224 (2014) [Refereed Conference Paper]

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2014Aryal J, Morshed A, Dutta R, 'Extracting urban forests in GEOBIA framework using AGROVOC and WorldView-2 imagery', South-Eastern European Journal of Earth Observation and Geomatics Special Issue, 21-24 May 2014, Thessaloniki, Greece, pp. 11-14. ISSN 2241-1224 (2014) [Refereed Conference Paper]

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2014Dutta R, Das A, Smith D, Aryal J, Morshed A, et al., 'Autonomous framework for sensor network quality annotation: maximum probability clustering approach', Procedia Computer Science Volume 29: ICCS 2014, 10-12 June 2014, Cairns, Australia, pp. 2201-2207. ISSN 1877-0509 (2014) [Refereed Conference Paper]

DOI: 10.1016/j.procs.2014.05.205 [eCite] [Details]

Citations: Scopus - 2Web of Science - 1

Co-authors: Das A

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2014Dutta R, Morshed A, Shu Y, Aryal J, 'Standardising CosmOz probe based soil moisture measurements', The 20th World Congress of Soil Science, 8-13 June 2014, Jeju, Korea (2014) [Conference Extract]

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2014Aryal J, 'Investigating aggregation effect in a Geographic Object-Based Image Analysis (GEOBIA) environment', Geography and Spatial Sciences Annual Conference, 25-26 November 2014, Hobart, Australia (2014) [Conference Extract]

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2013Anees A, Olivier JC, O'Reilly MM, Aryal J, 'Detecting beetle infestations in pine forest using MODIS NDVI time-series data', IEEE International Geoscience and Remote Sensing Symposium Proceedings (IGARSS 2013), 21-26 July 2013, Melbourne, Australia, pp. 3329-3332. ISBN 978-1-4799-1114-1 (2013) [Refereed Conference Paper]

DOI: 10.1109/IGARSS.2013.6723540 [eCite] [Details]

Co-authors: Anees A; Olivier JC; O'Reilly MM

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2013Aryal J, 'Advancing in spatial object recognition: GEOBIA approach', Proceedings of the 16th International Conference on Geographic Information Science, 14-17 May 2013, Leuven, Belgium, pp. 1-7. ISBN 978-3-319-00615-4 (2013) [Refereed Conference Paper]

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2013Aryal J, 'Nominated to chair or co-chair sessions at IGARSS 2013', International Geoscience and Remote Sensing Symposium, 21-26 July 2013, Melbourne, Australia (2013) [Chair International Conference]

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2013Aryal J, Dutta R, Morshed A, 'Evaluation and visualization of hydrological sensor network: an integrated approach using MODIS images', Proceedings of the 16th International Conference on Geographic Information Science, 14-17 May 2013, Leuven, Belgium, pp. 1-6. ISBN 978-3-319-00615-4 (2013) [Refereed Conference Paper]

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2013Aryal J, Dutta R, Morshed A, 'Development of an intelligent environmental knowledge recommendation system for sustainable water resource management using MODIS satellite imagery', IEEE International Geoscience and Remote Sensing Symposium Proceedings (IGARSS 2013), 21-26 July 2013, Melbourne, Australia, pp. 2204-2211. ISBN 978-1-4799-1114-1 (2013) [Refereed Conference Paper]

DOI: 10.1109/IGARSS.2013.6723253 [eCite] [Details]

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2013Das A, Dutta R, Aryal J, 'A hybrid neural network based Australian wildfire prediction: a novel approach using environmental and satellite imagery', 20th International Congress on Modelling and Simulation (MODSIM2013) Book of Abstracts, 1-6 December 2013, Adelaide, Australia, pp. 169. ISBN 978-0-9872143-2-4 (2013) [Conference Extract]

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Co-authors: Das A

2013Dutta R, Aryal J, Morshed A, 'Intelligent environmental knowledge system for sustainable water resource management solution', Proceedings of the 16th International Conference on Geographic Information Science, 14-17 May 2013, Leuven, Belgium, pp. 1-7. ISBN 978-3-319-00615-4 (2013) [Refereed Conference Paper]

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2013Li C, Dutta R, Kloppers C, D'Este C, Morshed A, et al., 'Mobile application based sustainable irrigation water usage decision support system: an intelligent sensor CLOUD approach', IEEE SENSORS 2013 Proceedings, 3-6 November 2013, Baltimore, USA, pp. 1565-1568. ISBN 978-1-4673-4642-9 (2013) [Refereed Conference Paper]

DOI: 10.1109/ICSENS.2013.6688523 [eCite] [Details]

Co-authors: Das A

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2013Morshed A, Aryal J, Dutta R, 'Environmental spatio-temporal ontology for the linked open data cloud', Proceedings of Trustcom 2013, ISPA-13 and IUCC 2013, 16-18 July 2013, Melbourne, Australia, pp. 1907-1912. ISBN 978-0-7695-5022-0 (2013) [Refereed Conference Paper]

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2013Morshed A, Dutta R, Aryal J, 'Recommending environmental knowledge as linked open data cloud using semantic machine learning', Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 8-11 April 2013, Brisbane, Australia, pp. 27-28. ISSN 1084-4627 (2013) [Refereed Conference Paper]

DOI: 10.1109/ICDEW.2013.6547421 [eCite] [Details]

Citations: Scopus - 15

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2012Aryal J, Josselin D, 'Association of Spatial Object Recognition and GEOBIA: an Experimental Approach', Proceedings of the AGILE'2012 International Conference on Geographic Information Science, 24-27 April, Avignon, France, pp. 19-24. ISBN 978-90-816960-0-5 (2012) [Refereed Conference Paper]

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2012Francois A, Raffin R, Aryal J, Daniel M, '3D modelling and analysis: ISO standard tools for air traffic', WSCG 2012 Conference Proceedings, June 26-28, 2012, Plzen, Czech Republic, pp. 327-334. ISBN 978-80-86943-79-4 (2012) [Refereed Conference Paper]

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2012Rojas-Mora J, Aryal J, Ellerkamp P, Mangiavillano A, 'Solving the optimal location problem in forest fire control with fuzzy data points', Proceedings of the AGILE'2012 International Conference on Geographic Information Science, April 24-27, Avignon, France, pp. 187-192. ISBN 978-90-816960-0-5 (2012) [Refereed Conference Paper]

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2012Aryal J, Mora JR, Josselin D, 'Scalar data analysis for assessing biodiversity of various geographical territories using GEOBIA', Proceedings of the 4th International Conference on GEographic Object Based Image Analysis - GEOBIA 2012, May 7-9, Rio de Janeiro, Brazil (2012) [Non Refereed Conference Paper]

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2011Aryal J, Rojas-Mora J, Josselin D, 'A multiscale, object-based image analysis approach in assessing biodiversity for Nepal and New Zealand sites', 32nd Asian Conference on Remote Sensing 2011, Oct 3-7, Taipei, Taiwan, pp. 320-325. ISBN 978-1-61839-497-2 (2011) [Conference Extract]

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2011Prud homme J, Josselin D, Aryal J, 'Quantitative Analysis of Pollutant Emissions in the Context of Demand Responsive Transport', Proceedings of the International Conference on Computational Science and Its Applications (ICCSA 2011), June 20-23 2011, Santander, Spain, pp. 439-453. ISBN 978-3-642-21927-6 (2011) [Refereed Conference Paper]

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2009Aryal J, Kulasiri D, Carnaby GA, Samarsinghe S, 'Investigating the price of the New Zealand wool clip using modelling approaches', In proceedings of the 18th World IMACS / MODSIM Congress, July 13-17, Cairns, Australia, pp. 727-733. ISBN 978-0-9758400-7-8 (2009) [Refereed Conference Paper]

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2007Aryal J, Kulasiri D, Carnaby GA, 'Auction Theory: Bidder's Perspective in an English Auction Environment', In Proceedings of World Academy of Science, Engineering and Technology, December 14-17, Bangkok, Thailand, pp. 255-259. ISSN 2010-3778 (2007) [Refereed Conference Paper]

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2006Aryal J, Mathieu R, 'A New Approach for Mapping Vegetation Communities in Urban Areas', In: Ecology Across the Tasman, 3rd joint conference of the New Zealand Ecological Society and the Ecological Society of Australia, August 28th -September 1st, Wellington, New Zealand (2006) [Conference Extract]

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2005Mathieu R, Aryal J, 'Object-oriented classification and Ikonos multispectral imagery for mapping vegetation communities in urban areas', In Proceedings: The 17th Annual Colloquium of the Spatial Information Research Centre, November 24-25, Dunedin, New Zealand, pp. 181-188. ISBN 1-877139-90-4 (2005) [Refereed Conference Paper]

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2004Mathieu R, Aryal J, Beck K, Shanahan D, 'On the Usefulness of Very High Resolution IKONOS Satellite Imagery for Vegetation Mapping', . In Proceedings: 16th Annual Colloquium of the Spatial Information Research Centre, November 29-30, Dunedin, New Zealand, pp. 71-72. (2004) [Non Refereed Conference Paper]

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Contract Report, Consultant's Report

(5 outputs)
YearCitationAltmetrics
2017Hardy A, Aryal J, 'GPS tracks of tourists in Tasmania: Initial investigation of driver behaviour on four state roads', University of Tasmania, Tasmania (2017) [Contract Report]

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Co-authors: Hardy A

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2017Hardy A, Hyslop S, Aryal J, Eccleston R, Silva Ragaini B, 'Tourist Tracking Project: Report for Hobart Airport on 2016 Data', University of Tasmania, Tasmania (2017) [Contract Report]

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Co-authors: Hardy A; Hyslop S; Eccleston R; Silva Ragaini B

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2017Hardy A, Hyslop S, Aryal J, Eccleston R, Silva Ragaini B, 'Tourist Tracking Project: Report for Launceston Airport on 2016 Data', University of Tasmania, Tasmania (2017) [Contract Report]

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Co-authors: Hardy A; Hyslop S; Eccleston R; Silva Ragaini B

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2017Hardy A, Hyslop S, Aryal J, Eccleston R, Silva Ragaini B, 'Tourist Tracking Project: Report for the Spirit of Tasmania on 2016 Data', University of Tasmania, Tasmania (2017) [Contract Report]

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Co-authors: Hardy A; Hyslop S; Eccleston R; Silva Ragaini B

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2017Hardy A, Hyslop S, Aryal J, Silva Ragaini B, 'Tourist Tracking Project 2016: Wineglass Bay Track Car Park Analysis', University of Tasmania, Tasmania (2017) [Contract Report]

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Co-authors: Hardy A; Hyslop S; Silva Ragaini B

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Grants & Funding

Funding Summary

Number of grants

11

Total funding

$1,584,089

Projects

Crop-livestock adaptation to climate change based on modelling and remote-sensing (2020)$49,957
Description
We aim to assess how crop-livestock management practices impact farm performance regionally under different climate change scenarios. We will couple existing model-scaling and remote-sensing techniques developed in Argentina (summarized through the Forage Control Board) with the most advanced biophysical models in the world (APSIM) to assess the drivers of yield variability for diverse forage cropping systems in Argentina, Uruguay and Australia. We will seek to strengthen the skills between the three countries, Australia with systems modelling, Argentina with remote-sensing, and Uruguay with livestock systems analysis from currently running experimental dairy and beef farmlets. The project will be conducted collaboratively with livestock industry decision-makers who will perform exercises to explore alternative futures. This unique capability will facilitate the development of improved forage crop regional management and anticipation of environmental impacts. This collaboration will extend the use of current model and remote-sensing technologies between the three countries.
Funding
Department of Foreign Affairs and Trade ($49,957)
Scheme
Grant-Council on Australia Latin America
Administered By
University of Tasmania
Research Team
Ojeda JJ; Ara I; Aryal J
Year
2020
Tracking trail users' movement in the Skane region of Sweden using the Tracer technology - Phase 2 (2018)$46,449
Description
The project aim is to build on Phase 1 of the project and to understand the movements, activities and preferences of tourists and useers of walking trails in the Skane region of Sweden. A new app will be developed to collect tracking and demographic ddata from participants. These dagtasets will then be analysed and presented to Tourism Skane.
Funding
Tourism in Skane ($46,449)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Hardy A; Eccleston RG; Aryal J
Year
2018
Tourist Tracking Technology Phase 2 Development (2017 - 2018)$210,000
Description
Over the summer of 2015-2016 the innovative and ambitious UTAS Tourist Tracking project successfully tracked the movement of 472 tourists within Tasmania for 4-14 days. The goals of the Phase 2 research program are:1.To prove that techniques developed during our pilot study can be adapted to a completely app-based platform (iOS and Android) suitable for use on visitors personal phones. This will be critical for scaling the method and reducing unit cost;2.To develop and prove incentives to recruit a diverse and significant cohort of visitors to the state on a sustainable basis; and3.To develop a dynamic and user friendly industry/government interface to ensure that end user participants have timely access to key data.
Funding
Department of State Growth (Tas) ($190,000); Federal Hotels ($20,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Hardy A; Aryal J; Eccleston RG; Booth KI; Tinch DR; Wong TL; Robards BJ
Period
2017 - 2018
Understanding the Risk Segments, Travel Behaviour and Enhancing the Road Safety for Tourists to Tasmania (2017)$14,500
Description
The research team will assess data collated during the phase 1 of Tourist Tracking Project in 2016 and in doing so, will:1. explore the average speed of tourists on 4 designated, high use roads.2. undertake an exploration of the place of origin and age of those tourists who have been identified as travelling in a dangerous manner;3. where possible, the research team will synthesise the Tourist Tracking data with relevant data sets provided by the State Growth;4. provide written and online to the Road Safety Branch of State Growth.
Funding
Department of State Growth (Tas) ($14,500)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Hardy A; Aryal J; Eccleston RG
Year
2017
Tracking trail users' movement in the Skane region of Sweden using the Tracer technology - Phase 1 (2017)$195,495
Description
The project aim is to understand the movements, activities and preferences of tourists and users of walking trails in the Skene region of Sweden. An app will be developed to collect tracking and demographic data from participants. These datasets will then be analysed and presented to Tourism Skane.
Funding
Tourism in Skane ($195,495)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Hardy A; Eccleston RG; Aryal J; Ooi CS
Year
2017
Tourist Tracking Project 2016: Wineglass Bay Track Car Park Analysis (2017)$7,723
Description
Tourism Tracer proposes to undertake specialised analysis of its 2016 data to provide East Coast Tourism with detailed information on how independent tourists use the Wineglass Bay Track Car Park.
Funding
East Coast Regional Tourism Organisation ($7,723)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Hardy A; Aryal J
Year
2017
An object based spatial statistical approach in mapping smart cities (2016 - 2017)$3,000
Description
The project will address the issue of smart cities by comparing two cities from Australia and India. Object based image analysis technique will be used to classify the satellite imagery of the city into water, non-green areas, tree canopy, and other green areas by using semi-automatic extraction. Spatial statistics will be used for quantifying the geometric and thematic information extracted from the object based image analysis. The comparative results from the developing and developed countries will inform for goal setting and for future management of green resources of the cities.
Funding
Department of Education and Training (Commonwealth) ($1,500)
Scheme
Fellowship-Endeavour Research
Administered By
University of Tasmania
Research Team
Aryal J; Shekhar S
Period
2016 - 2017
Science-based interventions reversing negative impacts of invasive plants in Nepal (2016 - 2019)$542,931
Description
Developing the scientific knowledge-base and in-country capacity to tackle the increasing challenges from invasive plants in Nepal. Engaging local communities in recognition, control and utilisation of invasive plants, and reclaiming infested lands. Using invasive plant biomass for alternative, carbon-sensitive bioenergy sources to improve livelihoods, reduce poverty, conserve biodiversity and offset carbon.
Funding
UK Department for Environment Food and Rural Affairs ($542,931)
Scheme
Grant-Darwin Initiative
Administered By
University of Tasmania
Research Team
Aryal J; Watson MF; Shrestha K; Rajdev Prasad Y; Siwakoti M; Bharat Kumar P
Period
2016 - 2019
Sense-T Stage 2: Sensing Tourist Travel ('Tourist tracking project') (2015 - 2016)$499,534
Description
This project will use real-time sensor-generated data to address two significant industry-driven research questions, which are designed to provide unprecedented insights into tourists travel behaviour and decision making. Understanding where different cohorts of tourists travel and how they make spontaneous travel decisions will create value for the industry and the Tasmanian community by:Informing more nuanced and effective marketing strategies;Informing tourism related infrastructure and investment decisions, facilitating industry and employment growth;Informing strategies designed to increase the duration of (and spending during) visits; andEnhancing the tourist experience by providing more timely and relevant travel information.
Funding
University of Tasmania ($499,534)
Scheme
Grant - Institutional
Administered By
University of Tasmania
Research Team
Hardy A; Eccleston RG; Robards BJ; Wong TL; Aryal J; Tinch DR; Booth KI; Hyslop SE
Period
2015 - 2016
Multi-scale modelling for the analysis of remote sensing data with applications to urban green space mapping / change detection and native grasslands monitoring (2013)$12,000
Funding
University of Tasmania ($12,000)
Scheme
Grant-Research Enhancement (REGS)
Administered By
University of Tasmania
Research Team
Aryal J
Year
2013
16th AGILE Conference on Geographic Information Science (2013)$2,500
Funding
University of Tasmania ($2,500)
Scheme
Grant-Conference Support Scheme
Administered By
University of Tasmania
Research Team
Aryal J
Year
2013

Research Supervision

Jagannath's research focus is on spatial methods and Earth observation data modelling. He is supervising students working on spatial modelling, geographic object-based image analysis, quantitative change detection, environmental monitoring, and knowledge discovery using ontology in solving environmental problems. Application areas include vegetation change detection, plant health and stress modelling, bushfire mapping, monitoring and prediction using Earth Observation data. Optimal data utilisation and quality issues in better understanding local and global problems within the framework of scaling laws and hierarchical analysis are his areas of further research investigation. He supervises at the University of Tasmania, Australia and at the University of Salzburg, Austria.

Jagannath is looking for high calibre research students for their higher research degree studies (PhDs) in geospatial modelling with skills on quantitative methods and clear focus on spatial data visualisation.

Current

11

Completed

3

Current

DegreeTitleCommenced
PhDTesting the Efficacy of Ecosystem Services Frameworks for Planning Urban Green Space: Three cases2014
PhDAn Optimum Boundary for the Tasmanian Wilderness World Heritage Area2014
PhDMethodological Framework for Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA)2014
PhDUncertainty: Types and applications in spatial predictive models2015
PhDEstimation of Relative Importance of Indicators in Bushfire Mapping and Monitoring2017
PhDModelling the Potential Conservation Values of Farm Dams in South-eastern Tasmania2017
PhDCloud Computing Based Service Platform for Bushfire Prediction2018
PhDMulti-Scale Spectral Remote Sensing of Vegetation Stress2019
MastersAn Analysis Linking the Scamander River's Contemporary Geomorphology and Catchment History2019
PhDRenewable Energy Future for a Australian City Reality or Pipe Dream2019
PhDInvestigating Geographical Granularity in Predicting Energy Access using Satellite Imagery2019

Completed

DegreeTitleCompleted
PhDGeospatially Enabled Modelling of Values and Decisions in Agro-ecological Landscapes
Candidate: Juwairia Mahboob
2017
PhDObject-Based Remotely Sensed Image Classification for Identification of Lowland Native Grassland Communities in the Tasmanian Midlands
Candidate: Bethany Melville
2017
PhDStatistical Algorithms for Land/Forest Cover Change Detection Using Remote Sensing Data
Candidate: Asim Anees
2016