People > Dr Daniel Clewley

Dr Daniel Clewley

Airborne Earth Observation Data Analyst



Contact Details

+44 (0)1752 633100

dac26/04/2019 17:39:51@pml.ac.uk

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.

Projects

GCRF Blue Communities

GCRF Blue Communities

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...

REVIVAL

Rehabilitation of Vibrio-infested waters of Lake Vembanad, funded under the India-UK Water Quality programme (REVIVAL)

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...

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Other key projects


 


Recent publications

  • Clewley, D; Whitcomb, JB; Akbar, R; Silva, AR; Berg, A; Adams, JR; Caldwell, T; Entekhabi, D; Moghaddam, M. 2017 A Method for Upscaling In Situ Soil Moisture Measurements to Satellite Footprint Scale Using Random Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (6). 2663-2673. https://doi.org/10.1109/JSTARS.2017.2690220
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  • 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. https://doi.org/10.1109/TGRS.2017.2766186
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  • 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. https://doi.org/10.3390/rs10050671
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  • 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
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  • 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. https://doi.org/10.3390/rs9010002
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View more publications

Selected key publications

  • Clewley, D., Whitcomb, J.B., Akbar, R., Silva, A.R., Berg, A., Adams, J.R., Caldwell, T., Entekhabi, D. and Moghaddam, M., 2017. A Method for Upscaling In Situ Soil Moisture Measurements to Satellite Footprint Scale Using Random Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • Clewley, D.; Whitcomb, J.; Moghaddam, M.; McDonald, K.; Chapman, B.; Bunting, P. Evaluation of ALOS PALSAR Data for High-Resolution Mapping of Vegetated Wetlands in Alaska. Remote Sensing. 2015, 7, 7272-7297.
  • Lucas, R.M, Clewley, D., Accad, A., Butler, D., Armston, J., Bowen, M., Bunting, P., Carreiras, J., Dwyer, J., Eyre, T., Kelly, A., McAlpine, C., Pollock, S. and Seabrook, L. 2014 Mapping Forest Growth Stage in the Brigalow Belt Bioregion of Australia through integration of ALOS PALSAR and Landsat- derived Foliage Projective Cover (FPC) data. Remote Sensing of Environment. Volume 155. Pages 42-57.
  • Clewley, D., Bunting, P., Shepherd, J., Gillingham, S., Flood, N., Dymond, J., Lucas, R., Armston, J., and Moghaddam, M. A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables. Remote Sensing 2014, 6, 6111-6135.
  • Bunting, P.J., Armston, J., Lucas, R. M., and Clewley, D. 2013. Sorted pulse data (SPD) library. Part I: A generic file format for LiDAR data from pulsed laser systems in terrestrial environments. Computers & Geosciences, 56, pp.197–206.
  • Bunting, P.J., Armston, J., Clewley, D., and Lucas, R. M. 2013. Sorted pulse data (SPD) - Part II: A processing framework for LiDAR data from pulsed laser systems in terrestrial environments. Computers & Geosciences, 56, pp.207–215.

Other activities

Blog: Spectraldifferences - Tips and tutorials for GIS and remote sensing, https://spectraldifferences.wordpress.com/