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Photo of  Jane Gallwey

Jane Gallwey

Impact Fellow and Postgraduate


Research topics:

Mining engineering, deep learning, LiDAR, satellite remote sensing, laser scanning, point cloud processing, image analysis, multispectral data.


Gallwey, J., Eyre, M., Coggan, J., 2021. A machine learning approach for the detection of supporting rock bolts from laser scan data in an underground mine. Tunnelling and Underground Space Technology, 107, 103656. 

Gallwey, J., Robiati, C., Coggan, J., Vogt, D., Eyre, M., 2020. A Sentinel-2 based multispectral convolutional neural network for detecting artisanal small-scale mining in Ghana: Applying deep learning to shallow mining. Remote Sens. Environ. 248, 111970.

Gallwey, J., Yeomans, C., Tonkins, M., Coggan, J., Vogt, D., Eyre, M., 2020. Using Deep Learning and Hough Transformations to Infer Mineralised Veins from Lidar Data over Historic Mining Areas, in: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. ISPRS, Nice, France, pp. 1561–1568.

Gallwey, J., Eyre, M., Tonkins, M., Coggan, J., 2019. Bringing Lunar LiDAR Back Down to Earth: Mapping Our Industrial Heritage Through Deep Transfer Learning. Remote Sens. 11, 1–22.