Dr Tariqul Islam

Visiting Tutor - Geography

Tariqul holds a PhD in Climate induced geological hazard and disaster modelling, validated by geodetic Global Positioning System (GPS), Remote sensing (e.g., InSAR) and Geographic Information System (GIS), from the University of Gothenburg, Sweden and a lead author of many articles. He studied his double masters; (i) Spatial Planning and (ii) Geodesy and Geoinformatics from Royal Institute of Technology (KTH), Stockholm, Sweden. He worked as a GIS analyst/engineer in different institutional setup from a consultancy firm to a municipality in Bangladesh and Sweden. Tariqul has studied general and discipline-specific pedagogic method and professional teaching skills at the University of Gothenburg and has applied this knowledge during his teaching at the University of Gothenburg beside his PhD study as a teaching assistant.

Tariqul contributes to the teaching of the undergraduate programme in Geography. Tariqul’s teaching interests include: application of GIS, remote sensing, geodesy and spatial modelling in physical, human and environmental geography; particularly in climate change impact & adaptation; sustainable/ resilient development; landscape/ land use change & detection; hazard & disaster studies; environmental planning & management
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The majority of Tariqul’s project work and research relates to linkage /comparison between climate change effects (e.g., by severe tropical cyclone, icescape thinning) and manmade disaster (e.g., Farakka Barrage on Ganges/Padma, Rohingya refugees’ settlement) on biodiversity and community, by combining quantitative (e.g., applying GIS, remote sensing, GPS, statistics, modelling) and qualitative (e.g., stakeholders’ perception) measures.

Sturkell, E., Lange, U., Eliasson, T., & Islam, M.T., Geological building history – about the base stone in Gothenburg’s inner city (in Swedish: Geologisk bebyggelsehistoria - om sockelsten i Göteborgs innerstad), Bebyggelsehistorisk tidskrift, 71, 59–71, 2016.

Islam, M.T., Sturkell, E., LaFemina, P.C., Geirsson, H., Sigmundsson, F. & Ólafsson, H., Continuous subsidence in the Thingvellir rift graben, Iceland: Geodetic observation since 1967 compared to rheological models of plate spreading, J. Geophys. Res. Solid Earth, 121, 320-338, 2016, doi:10.1002/2015JB012306.

Islam, M.T., Vegetation change of Sundarbans based on Landsat imagery analysis between 1975 and 2006, Landscape & Environment, 8(1): 1-9, 2014.

Islam, M.T., Least Square Approach to Estimate 3D Coordinates Transformation Parameters: A Case of Three National Reference Systems in Sweden, Int. J. Remote Sensing and GIS, 3(3): 30-38, 2014.

Islam, M.T., Time Series Landsat Remote Sensing Images and Geographical Information System to Environmental Evaluation of Sites for the Padma River Bridge, Int. J. Remote Sensing and GIS, 2(3): 114-121, 2013. Islam, M.T., River Channel Migration: A Remote Sensing and GIS Analysis, ESA Living Planet Symposium, Bergen, Norway, 052-D4: 1-6, 27 June - 2 July 2010.

Islam, M.T., Quantification of Eroded and Deposited Riverbanks and Monitoring River’s Channel Using RS and GIS, The 17th Int. Con. on Geoinformatics, IEEE CNF, Fairfax, VA, USA, 062 (GS08), 178-182, 12-14 August 2009, doi: 10.1109/GEOINFORMATICS.2009.5293151

Islam, M.T. & Surur, A.N., Exploration Spatial Relationship through 3d Visualization, Int. Con. on Geodesy and Geoinformatics, Bishkek, Kyrgyzstan, PIII-16: 137-141, 18-19 October 2007.

Mangrove forests threatened by Climate Change, June 29, 2017, available at: https://science.gu.se/english/News/News_detail//mangrove-forests-threatened-by-climate-change.cid1481669

New Study will help find the best location for thermal power stations in Iceland, January 19, 2017, available at: https://science.gu.se/english/News/News_detail/new-study-will-help-find-the-best-locations-for-thermal-power-stations-in-iceland.cid1421026

  • Climate change and sea-level rising: Shoreline monitoring in Bangladesh
  • Climate change effect and Rohingya refugees’ settlement in Cox’s Bazar, Bangladesh: Forest ecology monitoring using Landsat satellite multi-temporal images and stakeholders’ perceptions