Lecturer
Professional Masters (Geo-informatics), MSc (Distinction), PhD
| Contact Campus | Sandy Bay Campus |
| Building | Spatial Information Science Building |
| Room Reference | 122 |
| Telephone | +61 3 6226 2848 |
| Fax | +61 3 6226 7628 |
| Jagannath.Aryal@utas.edu.au |
This unit introduces the basic concepts and applications of Geographic Information Systems (GIS). Topics covered include definitions, components and functions of GIS, the theory behind spatial data representation, data structures, cartography, projections, vector and raster data models, and spatial analysis in these domains. A significant component of the unit consists of practical sessions using PC-based GIS packages designed to apply concepts presented in lectures. Emphasis is placed on the foundations of GIS for the input, management, and querying of spatial data. These foundations are illustrated with a range of interesting environmental and social applications.
This unit applies acquired knowledge of spatial measurement techniques and associated instrumentation to develop an improved understanding of a range of specific surveying applications including: construction surveying, road design (horizontal and vertical curves), deformation and monitoring applications, hydrographic surveying, cadastral surveying and surveying with Real Time Kinematic (RTK) GPS. Case study examples along with invited professional talks are used to illustrate specific applications and provide a real world context.
Jagannath is a lecturer in Surveying and Spatial Science at the School, and is responsible for introductory GIS and Surveying 3 units. He was previously in the University of Avignon, France with Quantitative Geography group as a postdoctoral researcher from 2010 to 2012 and before that working as a GIS lecturer at Lincoln university in New Zealand after his PhD in Optimization and Systems Modelling. He has worked as a tutor in the National School of Surveying, University of Otago from 2004 to 2006. He has also worked as a lecturer in the Survey Training Centre of Nepal from 1999 to 2004. He completed his Professional Masters Degree in Geo-informatics (Statistical extension and application of measures for association in remote sensing images) in 2003, an MSc in Surveying (Multi-resolution imagery and geographic object-based image analysis for vegetation mapping of urban areas: case study of Dunedin city, New Zealand) in 2006 and a PhD in Optimization and Systems Modelling (Optimization of buyer’s behaviour in agri-commodity sourcing) in 2009.
Aryal, J. (2009). Remote Sensing Satellite Images for Vegetation Mapping: Multi-resolution Imagery and Object-oriented Techniques for Vegetation Mapping of Urban Areas, Lambert Academic Publishing, Germany. ISBN-13: 978-3838325453.
Scott D., Moller H., Fletcher D., Newman J., Aryal J., Bragg C., and Charleton, K. (2009). 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, pp. 291-306
Aryal J., Kulasiri D., and Liu D. (2008). Optimization Approaches for a Complex Dairy Farm Simulation Model. International Journal of Computer, Information, and Systems Science, and Engineering, 2 (3), pp.156-162
Aryal J., Kulasiri D., and Carnaby G.A. (2008). Auction theory: bidder's perspective in a public out-cry English auction. International Journal of Computer and Information Science and Engineering, 2 (3), pp.143-147
Mathieu R., Freeman C. and Aryal J. (2007). Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery. Landscape and Urban Planning, 81(3), pp. 179 -92
Mathieu R., Aryal J. and Chong, A. K. (2007). Object-Based Classification of Ikonos Imagery for Mapping Large-Scale Vegetation Communities in Urban Areas. Sensors, 7, pp. 2860-2880
Stein A., Aryal J., and Gort G. (2005). Use of the Bradley–Terry Model to Quantify Association in Remotely Sensed Images. IEEE Transactions on Geoscience and Remote Sensing, 43 (4): pp. 852- 856.
Aryal, J. Mora, J. R., and Josselin, D (2012). Scalar data analysis for assessing biodiversity of various geographical territories using GEOBIA. Proceedings of the 4th GEOBIA, Rio de Janeiro, Brazil.
Aryal, J. and Josselin, D (2012). Association of spatial object recognition and GEOBIA: an experimental approach. 15th International Conference on Geographic Information Science (AGILE’ 2012), Avignon, France.
François, A., Raffin, R., and Aryal, J. (2012): 3D modelling and analysis: ISO standard tools for air traffic. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), Plzen, Czech republic.
Rojas-Mora, J; Aryal, J; Ellerkamp, P; and Mangiavillano, A. (2012). Solving the optimal location problem in forest fire control with fuzzy data points. 15th International Conference on Geographic Information Science (AGILE’ 2012), Avignon, France.
Aryal, J., Mora, J.R. and Josselin, D. (2011). Évaluation de la biodiversité par détection d’objets en analyse d’images multi-résolutions. Application sur plusieurs sites : France, Népal et Nouvelle-Zélande. JIGOT, 17-18th Nov, Rennes, France.
Aryal, J. Mora, J. R., and Josselin, D (2011). A multiscale, object-based image analysis approach in assessing biodiversity for Nepal and New Zealand sites. Asian Conference on Remote Sensing (ACRS), Taipei, Taiwan.
Prud'homme, J., Josselin, D., and Aryal, J. (2011). Quantitative Analysis of Pollutant Emissions in the Context of Demand Responsive Transport. Computational Science and Its Applications - Sixth International Workshop on "Geographical Analysis, Urban Modeling, Spatial Statistics" GEOG-AN-MOD 11 in conjunction with The International Conference on Computational Science and its Applications (ICCSA). Santander, Spain.
Aryal, J., Kulasiri, D., Carnaby, G.A., Samarsinghe, S. (2009). Investigating the price of New Zealand wool clip using modelling approaches. In proceedings of 18th IMACS World Congress, Modelling and Simulation (MODSIM), Cairns, Australia.
Aryal, J., Kulasiri, D., Carnaby, G.A. (2007). Auction Theory: Bidder's Perspective in an English Auction Environment. In Proceedings of World Academy of Science, Engineering and Technology, Bangkok, Thailand.
Aryal, J., and Mathieu, R. (2006). A New Approach for Mapping Vegetation Communities in Urban Areas. In: Ecology Across the Tasman, third joint conference of the New Zealand Ecological Society and the Ecological Society of Australia., Victoria University of Wellington, Wellington, New Zealand.
Mathieu, R., and Aryal, J. (2005). Object-oriented classification and Ikonos multispectral imagery for mapping vegetation communities in urban areas. In Proceedings: Seventeenth Annual Colloquium of the Spatial Information Research Centre. P.A. Whigham (Ed), Dunedin, New Zealand.