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Lead Programmer - Geospatial Applications
Programmer - Geospatial Applications
+44 (0)1752 633100
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: Professor Melanie Austen
GCRF Blue Communities is a 4 year research capacity-building programme for marine planning in East and South-East (E/SE) Asia, funded by UK...
Contact: Dr Shubha Sathyendranath
Lake Vembanad is the largest body of water in Kerala, India, stretching almost 100km in length and spanning an area of over 2000km2. Its shores are...
Harris, L; Llewellyn, GM; Holma, H; Warren, MA; Clewley, D . 2017 Characterization of Unstable Blinking Pixels in the AisaOWL Thermal Hyperspectral Imager. IEEE Transactions on Geoscience and Remote Sensing, 56 (3). 1695-1703. 10.1109/TGRS.2017.2766186
Brown, C; Boyd, D; Sjögersten, S; Clewley, D ; Evers, S; Aplin, P. 2018 Tropical Peatland Vegetation Structure and Biomass: Optimal Exploitation of Airborne Laser Scanning [in special issue: Remote Sensing of Peatlands] Remote Sensing, 10 (5). 671-692. 10.3390/rs10050671
Warren, MA; Goult, S; Clewley, D . 2018 The Simple Concurrent Online Processing System (SCOPS) - An open-source interface for remotely sensed data processing. Computers and Geosciences. doi.org/10.1016/j.cageo.2018.03.013
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