Thanks for stopping by. I am a Professor in Spatial Information at the Geospatial Research Institute Toi Hangarau, University of Canterbury, New Zealand, specialising in surface water hydrology, numerical modelling, remote sensing and GIS.

Areas of research interest

My research is focused mainly (but not exclusively) in the following areas:

Property risk assessments at Negril, Jamaica.

Assessment of flood risk under climate change.
Image: Assessment of current and future flood risk for individual buildings at Negril, west Jamaica, an important area for tourism. Results indicate that risk to property will increase, largely due to sea-level rise and storm surge, with beach-front properties most vulnerable.

Amazon flood simulation

Large scale numerical modelling of flood inundation using reduced complexity methods.
Image: modelled flood inundation for the central Amazon, published in Geophysical Research Letters. The scale of the image here is around 250 km across. My research in this area is assessing of wetland hydrodynamics using a combination of modelling, remote sensing and fieldwork.

Impacts of climate change on water resources

Impacts of climate change on water resources.
Image: projected future precipitation for the south-west Caribbean, with reds indicating generally drier conditions. This was produced as part of a UNDP project which modelled climate change impacts in the Caribbean region.

Flood depth variability at the Hampshire Avon, United Kingdom.

Geostatistical uncertainty analysis in numerical models using high-throughput computing.
Image: variability in predicted maximum flood depth for the River Avon, Hampshire, United Kingdom, caused by interpolation uncertainty in surveyed topographic data.

Flooding from the Caroni River, Trinidad

Flood risk vulnerability in the small-island developing states of the Caribbean.
Photo: aerial image of flooding from the Caroni River, Trinidad & Tobago. Caroni Flood Risk Project combines social surveys with flood modelling to assess flood vulnerability.

Lago Caviano

Wetland hydrodynamics, with a particular focus on the central Amazon and, more recently, the Nariva Swamp in Trinidad.
Photo: Lago Caviano in the central Amazon, Brazil, taken during fieldwork measuring floodplain flows.

Development of methods in reduced complexity flood modelling.
Image: an illustration of water source tracing; functionality which I have added to the CAESAR-Lisflood software to enable the tracking of various contributions of water inputs to flood inundation (such as direct rainfall or different river sources).

Multi-temporal NDVI

GIS and remote sensing analysis, using open-source methods.
Image: multi-temporal NDVI image false colour composite, produced from Landsat 7 images at Milton, PA, United States (R = 2 Aug. 2001; G = 5 Oct. 2001; B = 6 Nov. 2001). This image is produced as part of my level 3 course in Remote Sensing & GIS.

Brief introduction to flood modelling

Computational models of flood inundation allow a detailed assessment of flood risk for an area and allow the assessment of a variety of management or scientific scenarios, such as for flood mitigation or for the assessment of the potential impacts of climate change.
[Read more here]

Research projects

Amazon wetland hydrodynamics


The Solimões (Amazon) River, upstream of its confluence with the Negro, Brazil. Taken from an aircraft on approach to Manaus. The river here is around 6 km wide in the foreground.

This project is assessing surface-water hydrodynamics in the complex, large-scale tropical wetland environment of the central Amazon, Brazil.
[Read more here]

Caroni Flood Risk Project

Caroni River

The Caroni River in flood, taken from the old railway bridge at Caroni Village. The river here is 15 m wide.
Photo credit: Dr. Pramenath Narinesingh.

This project is assessing flood risk and community vulnerability under climate change in the Caroni River Basin, Trinidad. Please see the project website for more details.


I use a lot of code for my research, mostly for computational numerical modelling (C++ or C#), data processing, analysis and visualization (Matlab and Python). On the code page, you can download much of this for your own use.


I teach a variety undergraduate and postgraduate courses in Geography, mostly focussed in quantitative methods including GIS, remote sensing and environmental modelling, along with courses in hydrology and natural hazards. See here for details.


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Click here for my a list of my publications.


Contact me by clicking here.