Research activities and interests
My research interests are broad and include spectral geology, tectonic geomorphology, geohazards, planetary geology and the application of remote sensing & GIS to a variety of geoscientific fields.
I am a member of the newly formed Geohazards Research Group here in ESE, and of the Engineering Scale Geology Research Group ESGRG, an interdepartmental group focused on small scale geological problems affecting civil engineering activities.
I am a member of the Science Team of EnVision - an ESA/NASA funded M5 mission for the exploration and mapping of the planet Venus, which will use Synthetic Aperture Radar (InSAR), SubSurface Radar Sounding and multispectral NIR imaging of emissivity, similar to instruments which we use routinely on Earth, to better understand the tectonic, surface and internal structure of Venus, and thereby to better understand its history as a planet seemingly inhospitable to life, as well as to detect current geological activity. The instrument payload also includes UV and IR spectrometers aimed at exploring Venus' atmosphere, clouds and climate, as well as a Radio Science Experiment, to better understand the interior structure of the planet. Hence EnVision will investigate Venus form the cloud tops down to the core!
Recently I have students working on the correlation of spectroscopy and geochemistry in propyllitic mineral assemblages (dark green rocks!) to develop exploration tools; the spectral enhancement of rocks and alteration around ore deposits in Morocco using multi-spectral satellite imagery; use of satellite imagery to understand fluvial morphology and dynamics of the great rivers of India; and on understanding the geology and structure beneath London using InSAR PSI and sub-surface data.
Richard Haslam, British Geological Survey, The structure and geology of south-east England, 2015
Research Student Supervision
Bischoff,C, Investigating ground movement and its causes in London, UK, using Permanent Scatterer Interferometry
Wan,X, Vision based UAV navigation based on illumination-invariant image matching
Wu,M-C, Modelling of Yingxiu-Beichuan fault zone based on refined DInSAR data of 2008 Wenchuan earthquake