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Dan Clewley manages the NERC Airborne Research Facility Data Analysis Node (NERC-ARF-DAN; https://nerc-arf-dan.pml.ac.uk/) at PML. As part of this he is responsible for processing airborne LiDAR, hyperspectral and thermal data acquired by NERC-ARF and assisting users with data processing.
Dan was awarded his PhD titled “Retrieval of Forest Structure and Biomass from Radar Data using Backscatter Modelling and Inversion” in 2012 from the Institute of Geography and Earth Sciences (IGES) at Aberystwyth University (Wales, UK) after completing his MSc in GIS and Remote Sensing (2007) and BSc in Physics (2006), also at Aberystwyth University.
Dan's research has focused on the use of airborne and spaceborne remotely sensed data to characterise vegetation, specifically the use of Synthetic Aperture Radar (SAR) data in combination with other datasets. Dan is also interested in systems and software for processing remotely sensed data and contributes to a number of open source projects.
Contact: Dr Rory Donnelly
The Earth and Sea Observation System (EASOS) is a platform designed to provide high value decision support to tackle country-specific environmental...
Contact: Steve Groom
Airborne remote sensing provides an efficient method for the rapid collection of data over a specified area, as a cost effective means of...
Markelin, L; Simis, SGH; Hunter, P; Spyrakos, E; Tyler, A; Clewley, D; Groom, SB. 2017 Atmospheric Correction Performance of Hyperspectral Airborne Imagery over a Small Eutrophic Lake under Changing Cloud Cover. Remote Sensing, 9 (1). 2-22. 10.3390/rs9010002