Dr Andy Hardy

PhD Geomatics, MSc Environmental Monitoring, Modelling and Reconstruction, BSc Geography.

Dr Andy Hardy

Lecturer in Remote Sensing and GIS

Department of Geography and Earth Sciences

Contact Details

Profile

I am currently a lecturer in Remote Sensing in GIS in the Dept. Geography and Earth Sciences at Aberystwyth University, UK. With a PhD in Geomatics (Newcastle University, UK) and an MSc in Environmental Modelling and Monitoring (Manchester University, UK) I have a background in hydrological/environmental modelling, spatial statistics, GIS and remote sensing.

Currently sitting within the Earth Observation and Ecosystem Dynamics research group (https://www.aber.ac.uk/en/dges/research/earth-observation-laboratory/) my research has centred on the use of remote sensing for mapping biophysical parameters including applications related to land cover dynamics, hydrology and malaria vector ecology, using a range of systems from optical/radar satellites to manned aircraft and drones.I have been keen to focus the application of my skills to public health challenges with previous research projects including the use of hydraulic flood modelling for mapping malaria habitats in Western Zambia and the use of drones for providing spatial intelligence for malaria elimination in Zanzibar.

Teaching

Research

Together with collaborators we have recently secured over $15.5m for a range of research projects including: mapping mangrove forest change across the African Continent (Mangroves Capital); the use of hydraulic flood modelling for mapping malaria vector habitats in Western Zambia (NERC); the use of drones for extracting market-ready products (Innovate UK); and supporting precision agriculture in South America with Earth Observation (UK Space Ageny). Alongside these current projects, over the last five years I have been working closely with the Zanzibar Ministry for Health to provide spatial intelligence for precision larviciding (Royal Geographical Society, Innovative Vector Control Consortium): this work fits within an overall strategy to develop practical spatial tools for operational vector control to help combat diseases like malaria. I warmly welcome collaborators with a similar line of enquiry.

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
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
Awty-Carroll, K, Bunting, P, Hardy, A & Bell, GK 2019, 'Using Continuous Change Detection and Classification of Landsat Data to Investigate Long-Term Mangrove Dynamics in the Sundarbans Region' Remote Sensing, vol. 11, no. 23, 2833. https://doi.org/10.3390/rs11232833
Ettritch, G, Hardy, A, Bojang, L, Cross, D, Bunting, P & Brewer, P 2018, 'Enhancing digital elevation models for hydraulic modelling using flood frequency detection' Remote Sensing of Environment, vol. 217, pp. 506-522. https://doi.org/10.1016/j.rse.2018.08.029
More publications on the Research Portal