Dr Pete Bunting

PhD BEng

Profile

Pete Bunting is a Reader in Remote Sensing within the Department of Geography and Earth Sciences (DGES). He original joined the department in 2004 when he undertook his PhD, lectured from 2017-2011 before working for Landcare Research, NZ, returning in 2012. Prior to joining the department he undertook his undergraduate degree in Computer Science, also at Aberystwyth University.

 

Teaching

Research

Dr Bunting's research is concerned with the computational processing of spatial data, primarily for the mapping of land surfaces & biophysical attributes both in terms of their current state & as they change through time using remotely sensed (terrestrial, airborne & spaceborne) & ancillary GIS data, to inform policy & understand the processes of change. In particular, his research involves the development of new & automated techniques for information retrieval from image & 3D point cloud datasets.

Much of his research has been combined within a group of open source software libraries (RSGISLib - https://www.rsgislib.org & SPDLib; http://www.spdlib.org; KEALib: http://www.kealib.org; ARCSI https://arcsi.remotesensing.info). Key results include the:

  • Produced the first global automated classifications of mangrove forest extent and change from satellite imagery using a globally consistent methodology as part of the global mangrove watch (https://www.globalmangrovewatch.org).
  • Developed the SPD software library which is the first of its kind to support operational processing of the latest full waveform & multispectral LiDAR datasets.
  • Developed the RSGISLib software which is used globally by many others for the processing of remotely sensed and GIS data.

Currently work is focused on improving global mangrove mapping, extending methods to other forest types and the estimation of biomass change globally as part of the CCI Biomass project.

 

Research Groups

Publications

Roberts, O, Bunting, P, Hardy, A & McInerney, D 2020, 'Sensitivity Analysis of the DART Model for Forest Mensuration with Airborne Laser Scanning', Remote Sensing, vol. 12, no. 2, 247. https://doi.org/10.3390/rs12020247
Scarth, P, Armston, JA, Lucas, R & Bunting, P 2019, 'A Structural Classification of Australian Vegetation Using ICESat/GLAS, ALOS PALSAR and Landsat Sensor Data', Remote Sensing, vol. 11, no. 2, 147. https://doi.org/10.3390/rs11020147
Awty-Carroll, K, Bunting, P, Hardy, A & Bell, G 2019, 'An Evaluation and Comparison of Four Dense Time Series Change Detection Methods Using Simulated Data', Remote Sensing, vol. 11, no. 23, 2779. https://doi.org/10.3390/rs11232779
Hardy, A, Ettritch, G, Cross, D, Bunting, P, Liywalii , F, Sakala , J, Silumesii , A, Singini , D, Smith, MW, Willis, T & Thomas, C 2019, 'Automatic Detection of Open and Vegetated Water Bodies Using Sentinel 1 to Map African Malaria Vector Mosquito Breeding Habitats', Remote Sensing, vol. 11, no. 5, 593. https://doi.org/10.3390/rs11050593
Lucas, R, Mueller, N, Siggins, A, Owers, C, Clewley, D, Bunting, P, Kooymans, C, Tissott, B, Lewis, B, Lymburner, L & Metternicht, G 2019, 'Land Cover Mapping using Digital Earth Australia', Data, vol. 4, no. 4, 143. https://doi.org/10.3390/data4040143
More publications on the Research Portal