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Dr Stuart Mead

Research Officer

School of Agriculture and Environment

Professional

Prizes and Awards

  • Co-author of a paper (OROXX) which received "Highly commended" award in Engineering Computations Outstanding Papers awards 2014. The paper was one of three in the journal which received an award. - Emerald Publishing (2014)

Research Projects

Summary of Research Projects

Position Current Completed
Project Leader 2 2
Team Member 1 0

Current Projects

Project Title: He Tatai Whenua: A Te Ao Maori landscape classification

Our research will synthesize a Te Ao Maori landscape classification that can be directly integrated with existing geographical information systems (GIS). We will produce the first indigenous peoples, or Maori metric based Landscape Classification for New Zealand. Despite Maori expert elicitation, or interpretation, of landscape features being well recognised, coherent representation and display of this knowledge is significantly underdeveloped. Data of this kind is still treated as anecdotal or qualitative and, as a result, lacks impact in environmental management and decision-making. In stark contrast, the underlying descriptors and datasets used to classify NZ's environment for decision-making are all displayed in advanced GIS systems utilising cutting edge technology (e.g. geology (Qmap), soils (SMap), bio-diversity (Landcover Database/LENZ), and land use/capability (NZ Land Resource Inventory)). Many of the fundamental methods used to create these datasets are based on frameworks and criteria created through quasi-quantitative methods with no inclusion or recognition of matauranga Maori. This will be achieved through three components: 1. Development of Maori landscape classification criteria based on matauranga Maori, tikanga, kaitiakitanga and tohu taiao from leading Maori academics and Iwi partners 2. Generation of the first Maori Landscape Classification GIS (MLC-GIS) and database using new IT, GIS, remote sensing techniques and mathematical methods to visualise landscapes based on the developed criteria 3. Application of the MLC-GIS alongside existing environmental databases in new catchment management strategies Our research will use the Manawatu catchment to develop the protocols required to extend the proposed Maori Landscape Classification GIS to the whole of NZ. Globally this will be the first time such a dataset will be created. Additionally, new geospatial visualisation methods will be developed that will have significant impact.
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Date Range: 2017 - 2021

Funding Body: Ministry of Business, Innovation and Employment

Project Team:

Research Outputs

Journal

Lormand, C., Zellmer, GF., Németh, K., Kilgour, G., Mead, S., Palmer, AS., . . . Moebis, A. (2018). Weka trainable segmentation plugin in ImageJ: A semi-automatic tool applied to crystal size distributions of microlites in volcanic rocks. Microscopy and Microanalysis. 24(6), 667-675
[Journal article]Authored by: Mead, S., Nemeth, K., Palmer, A., Zellmer, G.
Kereszturi, G., Schaefer, LN., Schleiffarth, WK., Procter, J., Pullanagari, RR., Mead, S., . . . Kennedy, B. (2018). Integrating airborne hyperspectral imagery and LiDAR for volcano mapping and monitoring through image classification. International Journal of Applied Earth Observation and Geoinformation. 73, 323-339
[Journal article]Authored by: Kereszturi, G., Mead, S., Procter, J., Pullanagari, R.
Mead, SR., Magill, C., Lemiale, V., Thouret, JC., & Prakash, M. (2017). Examining the impact of lahars on buildings using numerical modelling. Natural Hazards and Earth System Sciences. 17(5), 703-719
[Journal article]Authored by: Mead, S.
Mead, SR., & Magill, CR. (2017). Probabilistic hazard modelling of rain-triggered lahars. Journal of Applied Volcanology. 6(1)
[Journal article]Authored by: Mead, S.
Mead, S., Magill, C., & Hilton, J. (2016). Rain-triggered lahar susceptibility using a shallow landslide and surface erosion model. Geomorphology. 273, 168-177
[Journal article]Authored by: Mead, S.
Mead, SR., & Cleary, PW. (2015). Validation of DEM prediction for granular avalanches on irregular terrain. Journal of Geophysical Research F: Earth Surface. 120(9), 1724-1742
[Journal article]Authored by: Mead, S.
Cleary, PW., Prakash, M., Mead, S., Lemiale, V., Robinson, GK., Ye, F., . . . Tang, X. (2015). A scenario-based risk framework for determining consequences of different failure modes of earth dams. Natural Hazards. 75(2), 1489-1530
[Journal article]Authored by: Mead, S.
Mead, S., & Magill, C. (2014). Determining change points in data completeness for the Holocene eruption record. Bulletin of Volcanology. 76(11)
[Journal article]Authored by: Mead, S.
Cleary, PW., Cohen, RCZ., Harrison, SM., Sinnott, MD., Prakash, M., & Mead, S. (2013). Prediction of industrial, biophysical and extreme geophysical flows using particle methods. Engineering Computations (Swansea, Wales). 30(2), 157-196
[Journal article]Authored by: Mead, S.
Cleary, PW., Prakash, M., Mead, S., Tang, X., Wang, H., & Ouyang, S. (2012). Dynamic simulation of dam-break scenarios for risk analysis and disaster management. International Journal of Image and Data Fusion. 3(4), 333-363
[Journal article]Authored by: Mead, S.

Conference

Lormand, C., Zellmer, G., Kilgour, G., Iizuka, Y., Mead, S., Sakamoto, N., . . . Yurimoto, H. (2018). Microlite size distributions and P-T-X(H2O) constraints of Central Plateau tephras, New Zealand: Implications for magma ascent processes of explosive eruptions. , AGU Fall Meeting
[Conference Abstract]Authored by: Mead, S., Nemeth, K., Palmer, A., Zellmer, G.
Lormand, C., Zellmer, G., Kilgour, G., Iizuka, Y., Mead, S., Sakamoto, N., . . . Yurimoto, H. (2018). Microlite size distributions and P-T-X(H2O) constraints of Central Plateau Tephras, New Zealand: Implications for magma ascent processes of explosive eruptions. , State of the Arc 7
[Conference Abstract]Authored by: Mead, S., Nemeth, K., Palmer, A., Zellmer, G.
Kereszturi, G., Pullanagari, RR., Mead, S., Schaefer, LN., Procter, J., Schleiffarth, WK., . . . Kennedy, B. (2018). Geological mapping of hydrothermal alteration on volcanoes from multi-sensor platforms. International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2018-July (pp. 220 - 223).
[Conference Paper in Published Proceedings]Authored by: Kereszturi, G., Mead, S., Procter, J., Pullanagari, R.
Mead, SR., Prakash, M., Magill, C., Bolger, M., & Thouret, JC. (2015). A Distributed Computing Workflow for Modelling Environmental Flows in Complex Terrain. IFIP Advances in Information and Communication Technology. Vol. 448 (pp. 321 - 332).
[Conference Paper in Published Proceedings]Authored by: Mead, S.
Lemiale, V., Mead, SR., & Cleary, P.(2012, December). Numerical modelling of landslide events using a combination of continuum and discrete methods. .
[Conference]Authored by: Mead, S.
Mead, SR., Cleary, PW., & Robinson, GK.(2012, December). Characterising the failure and repose angles of irregularly shaped three-dimensional particles using DEM. .
[Conference]Authored by: Mead, S.
Cleary, PW., Cohen, RCZ., Harrison, S., Sinnott, M., Prakash, M., & Mead, S.Prediction of extreme geophysical, industrial and biophysical flows using particle methods. MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty. (pp. 1 - 12).
[Conference]Authored by: Mead, S.
Mead, S., & Cleary, PW.Three dimensional avalanche modelling across irregular terrain using DEM: Comparison with experiment. MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty. (pp. 2838 - 2844).
[Conference]Authored by: Mead, S.

Teaching and Supervision

Summary of Doctoral Supervision

Position Current Completed
Co-supervisor 3 0

Current Doctoral Supervision

Co-supervisor of:

  • Shannen Mills - Doctor of Philosophy
    Exploring the textural characteristic of tephra clasts from Taranaki and Ruapehu
  • Moka Apiti - Doctor of Philosophy
    He Ipu Arataki i te Taiao. He Whakapapa ki te Whenua. Exploring the role of digital spatial technologies supporting the development of matauranga Maori and storing traditional knowledge
  • Nic Mostert - Doctor of Philosophy
    A statistical model for forecasting tephra grain size deposition, and its use in hazard forecasting

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