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Dr Kithsiri Perera

Dr Kithsiri Perera
Name Kithsiri Perera
Position Lecturer (Surveying and Spatial Science)
Section School of Civil Engineering and Surveying
Office Z316A
Location Toowoomba Campus
Phone +61 7 4631 2543
Extension 2543
Email
Qualifications MEng Chiba , PhD Chiba

Fields of Research (FoR)

  • Geomatic Engineering not elsewhere classified ( 090999 )
  • Information Systems not elsewhere classified ( 080699 )
  • Physical Geography and Environmental Geoscience not elsewhere classified ( 040699 )

Research interests
Digital image processing of satellite data for land cover and land use mapping.
Catchments area mapping and standardizing the classification scheme.
Visual interpretation of aerial photos.
Graphically effective spatial data visualization for media.
Media contents of natural disasters and significant environmental issues.

Currently teaching courses/programs
GIS4407 WEB BASED GIS
GIS1401 GEOGRAPHIC DATA PRESENTATION
GIS1402 GEOGRAPHIC INFORMATION SYSTEMS
GIS2901 GIS PRACTICE 1
GIS3406 REMOTE SENSING & IMAGE PROCESSING

Teaching experience(Tertiary)
04 Years

Research most recent
Perera L. K., Tsuchiya K. (2009), Experiment for Mapping Land Cover and It's Change in South-eastern Sri Lanka Utilizing 250m Resolution MODIS Imageries, Waiting for proof reading, to be published in Advances in Space Research (by Elsevier).

Perera, L. K., Pathirana A (2006), The role of MODIS data in visualizing flood disaster information for Mass Media, Asian journal of Geoinformatics, Vol. 6 No. 3, July,2006

Perera, L. K., Furuya, H.(2006): Leyte disaster, background and some clues to upgrade disaster mitigation plans, Asian journal of Geoinformatics Vol. 6, No 2, April 2006, pp 23-28


Research most notable
Perera L. K., Tsuchiya K. (2009), Experiment for Mapping Land Cover and It's Change in South-eastern Sri Lanka Utilizing 250m Resolution MODIS Imageries, Waiting for proof reading, to be published in Advances in Space Research (by Elsevier).

Perera L. K. and Tateishi R.(1995): Do remote sensing and GIS have a practical applicability in developing countries ? (Including some Sri Lankan experiences). Int. Journal of Remote Sensing. Taylor & Francis, Vol. 16, 1, 18-35

Perera, L. K., Tsuchiya, K., Toyota, H.(1992): Identification of Forest Cover Changes by Landsat MSS Data and Environmental Effects of such changes in Central South Sri Lanka. Journal of Geography, Tokyo Geographical Society, Vol.101,No.4,307-317

Land Cover map of SEQ at 10m resolution using SPOT satellite data. 2007-2008


Publications in ePrints

Perera, Kithsiri and Tateishi, Ryutaro and Herath, Srikantha (2015) Assisting mitigation of bushfire threat in regional Australia through MODIS imagery based media GIS. In: 23rd CEReS International Symposium, the 18th Symposium on Environment Remote Sensing, the 3rd Symposium on Microsatellites for Remote Sensing 2015, 1-2 Dec 2015, Chiba, Japan.

Pathirana, Sumith and Perera, Kithsiri and Sanaa, Hobeichi (2015) Impact of climate change on water resources in MENA countries: an assessment of temporal changes of land cover/land use and water resources using multi-temporal MODIS and Landsat data and GIS techniques. In: International Symposium on Remote Sensing (ISRS 2015), 22-24 April 2015, Tainan, Taiwan.

Perera, Kithsiri and Herath, Srikantha and Tateishi, Ryutaro (2014) Assessing land use of lower Mekong basin using multi-temporal MODIS imagery. In: 57th Autumn Conference of the Remote Sensing Society of Japan (RSSJ 2014), 6-7 Nov 2014, Kyoto, Japan.

Perera, Kithsiri and Tateishi, Ryutaro (2014) MODIS data based semi-real time media GIS contents to support natural disaster mitigation. International Journal of Multidisciplinary Studies, 1 (2).

Perera, Kithsiri and Herath, Srikantha and Apan, Armando and Tateishi, Ryutaro (2013) Application of Modis data to assess the latest forest cover changes of Sri Lanka. In: 22nd Annual Photogrammetry, Remote Sensing and Spatial Information Science Congress (ISPRS 2012): Imaging a Sustainable Future, 25 Aug-1 Sep 2012, Melbourne, Australia.

View full listing in ePrints