People > Dr Daniel Clewley

Dr Daniel Clewley

Airborne Earth Observation Data Analyst



Contact Details

+44 (0)1752 633100

dac24/11/2017 18:48:33@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

EASOS: Marine Pollution

Earth and Sea Observation System (EASOS): Marine pollution

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...

NERC Airborne Research Facility (NERC-ARF)

NERC Airborne Research Facility (NERC-ARF)

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...

Other key projects


 


Recent publications

  • 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
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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/