Master's stuff

RTK (Real-Time Kinematic) vs. GCPs (Ground Control points) (Osborne Farm)

Identified that RTK-derived data was more accurate than a failed drone mission using GCPs

Slope Correction (Colusa)

Identified an unrealistic 0.003 m/m slope and adjusted it to 0.000189 m/m to rectify inconsistent model velocities.

Collaborative QGIS Work

Worked in teams to perform spatial analysis and refine methodologies for catchment solutions.

Story Maps (Greenland)

Used to translate complex deep learning outcomes into an accessible format for non-specialist stakeholders. Technical Reports (HEC-RAS)

ArcGIS/QGIS (Hampshire Avon)

Used to integrate DTMs and land cover data to strategically evaluate nature-based solutions for flood management. SPI (Stream Power Index)

HEC-RAS (Colusa)

Used to simulate steady and unsteady flow states to calibrate Manning’s n values and assess flood management scenarios.

Sentinel-1/2 Imagery

Used to extract and quantify supraglacial features and HABs to allow for temporal analysis from 2017 to 2023. NetCDF/ERA5 Data

Getis-Ord $Gi^{*}$ / Moran's I

Used to statistically validate hotspots and identify spatial outliers in demographic data.

SPI (Stream Power Index)

Used as a proxy to quantify erosive capacity and identify areas at high risk of diffuse pollution

Attention-Based U-Net

developed in Python (TensorFlow/Keras) to automate the detection of drainage features on the Greenland Ice Sheet.

Numerical Surge Modelling

Built in Python and analysed in SPSS to simulate Tunabreen’s glacier surges.

Data Handling

Custom data pipeline to automate the detection of supraglacial hydrological features.

UNET Modelling

attention-based U-Net (Deep Learning) using TensorFlow and Keras, showcasing your ability to move beyond standard GIS into advanced analytical modelling.

Communication

Created a story map to communicate complex machine learning outputs to non-specialists, demonstrating your capability in technical communication.

Numerical Modelling

Processed remotely sensed data in QGIS and Python to build a numerical model to analyse glacier surges, showing strong software aptitude.

Enthalpy mass numerical model

Enthalpy-mass balance equations to investigate glacier surge mechanisms, which demonstrates your ability to apply theoretical physics to geographical phenomena.

Statistical Methods

Sensitivity analysis- which variable have the greatest effect

Regresssion analyses- linear and quadratic models to assess relationships

Z score analysis- to identify harmful algal blooms using anomolous values

Ablation study- to optimise the unet model