Profiles

Jagannath Aryal

UTAS Home Dr Jagannath Aryal

Jagannath Aryal

Senior Lecturer, Discipline of Geography and Spatial Sciences

Room 122, Surveying and Spatial Sciences Building, Sandy Bay Campus

+61 3 6226 2848 (phone)

+61 3 6226 7628 (fax)

Jagannath.Aryal@utas.edu.au

Dr Jagannath Aryal is fascinated by the field of spatial hierarchies, multi-scaling issues, and understanding changes in the environmental processes. He is a Senior Lecturer (continuing position) at the School of Land and Food in the Faculty of Science, Engineering and Technology. 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 universities including the university of Cambridge, UK and CNRS, France.

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

Administrative expertise

Teaching

GIS, Surveying, Spatial Sciences, GEOBIA, Earth Observation, Vegetation, Bush-fire, Environmental Modelling, Change Detection

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)
  • KGA532 – Reserve System Planning (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, agricultural systems modelling and precision agriculture using EO data, spatial analysis and modelling in hierarchies.

Jagannath is also working on understanding vegetation health stress due to natural phenomena using modelling techniques (Spatial statistics) and EO data (MODIS, Landsat) available from NASA, USA. 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.

Collaboration

Jagannath is currently collaborating with CNRS, Avignon, France where he is supervising a PhD student under cotuttle arrangement between University of Tasmania and CNRS, France. This project aims to understand the spatial hierarchies of the landscape using spatial statistics and modelling.  Recently, Jagannath is working towards establishing a collaborative project with University of Cambridge, Department of Geography, United Kingdom to answer questions related with environmental processes using GIS and spatial statistics. Established national collaboration with CSIRO in data analytics and modelling is continuing. Past and ongoing collaboration in spatial analysis and modelling include University of Twente (The Netherlands), University of Otago, and Lincoln University (New Zealand), and Michigan state University (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)
  • Environmental Management (050205)
  • Geomatic Engineering (090999)
  • Geospatial Information Systems (090903)
  • Tourist Behaviour and Visitor Experience (150606)
  • Surveying (incl. Hydrographic Surveying) (090906)
  • Economic Geography (160401)
  • Conservation and Biodiversity (050202)
  • Health, Clinical and Counselling Psychology (170106)
  • Social and Cultural Geography (160403)
  • Distributed and Grid Systems (080501)
  • Forestry Fire Management (070503)
  • Impacts of Tourism (150601)
  • Wildlife and Habitat Management (050211)
  • Physical Geography and Environmental Geoscience (040699)
  • Invasive Species Ecology (050103)
  • Natural Resource Management (050209)
  • Sociology and Social Studies of Science and Technology (160808)
  • Landscape Ecology (050104)
  • Ecological Impacts of Climate Change (050101)
  • Tourism Policy (160513)
  • Health Promotion (111712)
  • Human Geography (160499)

Research Objectives

  • Expanding Knowledge in the Earth Sciences (970104)
  • Urban and Industrial Flora, Fauna and Biodiversity (960812)
  • Expanding Knowledge in the Environmental Sciences (970105)
  • Land and Water Management of environments (960999)
  • Forest and Woodlands Land Management (960906)
  • Tourism (900399)
  • Forest and Woodlands Flora, Fauna and Biodiversity (960806)
  • Environmental and Natural Resource Evaluation (960699)
  • Behaviour and Health (920401)
  • Environment (969999)
  • Environmental Management Systems (960604)
  • Natural Hazards in Mountain and High Country Environments (961008)
  • Natural Hazards in Coastal and Estuarine Environments (961002)
  • Flora, Fauna and Biodiversity of environments (960899)
  • Socio-Cultural Issues in Tourism (900302)
  • Ecosystem Assessment and Management of Sparseland, Permanent Grassland and Arid Zone Environments (960510)
  • Natural Hazards (961099)
  • Water Allocation and Quantification (960913)
  • Sustainability Indicators (960609)
  • Tourism Infrastructure Development (900303)
  • Equity and Access to Education (939903)
  • Expanding Knowledge in Engineering (970109)
  • Education and Training Systems Policies and Development (930501)
  • Application Tools and System Utilities (890202)
  • Expanding Knowledge in the Agricultural and Veterinary Sciences (970107)
  • Natural Hazards in Forest and Woodlands Environments (961004)
  • Flora, Fauna and Biodiversity at Regional or Larger Scales (960805)
  • Climate Change Mitigation Strategies (960302)
  • Global Effects of Climate Change and Variability (excl. Australia, New Zealand, Antarctica and the South Pacific) (excl. Social Impacts) (960310)
  • Economic Issues in Tourism (900301)
  • Nutrition (920411)
  • Urban and Industrial Land Management (960911)
  • Natural Hazards in Urban and Industrial Environments (961010)
  • Ecosystem Assessment and Management of Urban and Industrial Environments (960511)
  • Expanding Knowledge in the Mathematical Sciences (970101)
  • Social Impacts of Climate Change and Variability (960311)
  • Ecosystem Assessment and Management at Regional or Larger Scales (960501)
  • Urban Land Policy (960708)
  • Social Structure and Health (920413)
  • 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 including Nature publishing Group's Scientific Reports. He serves in the Editorial board of Journal of Spatial Science.

Total publications

66

Journal Article

(23 outputs)
YearCitationAltmetrics
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]

Tweet

2017Hardy A, Hyslop S, Booth KI, Robards BJ, Aryal J, et al., 'Tracking tourists' travel with smartphone-based GPS technology: a methodological discussion', Information Technology & Tourism ISSN 1943-4294 (In Press) [Refereed Article]

[eCite] [Details]

Co-authors: Hardy A; Hyslop S; Booth KI; Robards BJ; Eccleston R

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]

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

Tweet

2017Garg 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 pp. 1-10. ISSN 0167-739X (2017) [Refereed Article]

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

Co-authors: Garg S

Tweet

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 - 2Web of Science - 1

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

Tweet

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 - 1Web of Science - 1

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

Tweet

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 - 5Web of Science - 3

Co-authors: Das A

Tweet

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 - 1Web of Science - 1

Tweet

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 - 13Web of Science - 10

Tweet

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 - 1

Tweet

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 - 6Web of Science - 6

Co-authors: Anees A

Tweet

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 - 10Web of Science - 7

Co-authors: Anees A

Tweet

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]

Tweet

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 - 15Web of Science - 9

Co-authors: Das A

Tweet

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 - 6Web of Science - 4

Co-authors: Das A; Kirkpatrick JB

Tweet

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

Tweet

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 - 4

Tweet

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 - 19Web of Science - 17

Tweet

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]

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]

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: Web of Science - 69

Tweet

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 - 159Web of Science - 139

Tweet

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 - 5Web of Science - 4

Tweet

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]

[eCite] [Details]

Chapter in Book

(1 outputs)
YearCitationAltmetrics
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]

[eCite] [Details]

Conference Publication

(41 outputs)
YearCitationAltmetrics
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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

Co-authors: Louvet R

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]

Co-authors: Louvet R

Tweet

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

Tweet

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 - 1

Tweet

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]

[eCite] [Details]

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]

[eCite] [Details]

Co-authors: Das A

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

Tweet

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 - 1

Tweet

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

[eCite] [Details]

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

Tweet

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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 - 2

Co-authors: Das A

Tweet

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]

[eCite] [Details]

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]

[eCite] [Details]

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

Tweet

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

Tweet

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]

[eCite] [Details]

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]

[eCite] [Details]

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

Tweet

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]

[eCite] [Details]

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 - 10

Tweet

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

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]

[eCite] [Details]

Grants & Funding

Funding Summary

Number of grants

9

Total funding

$1,487,683

Projects

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 (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)$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
Year
2016
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 in CNRS, France.

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

Current

7

Completed

3

Current

DegreeTitleCommenced
PhDValuing Green Open Space in Australian Urban Environments: Challenges and opportunities for governance and planning praxis2014
PhDAn Optimum Boundary for the Tasmanian Wilderness World Heritage Area2014
PhDAssessing existing methodological issues in remote sensing image segmentation and developing new methods in object delineation using ontology in GEOBIA environment2014
PhDGeo-Spatially Enabled Agricultural Systems Modelling2015
PhDPertinent Scales and Pertinent Spatial Entities in Geography. Epistemological Reflections and Methodological Trials2016
PhDEstimation of Relative Importance of Indicators in Bushfire Mapping and Monitoring2017
PhDPotential Ecological Benefit of Wetland Recovery and Restoration for Tasmanian Threatened Species2017

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