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 Dominic Fawcett

Dominic Fawcett

PhD student

 +44 (0) 1326 259478

 Environment and Sustainability Institute 01.15

 

Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn, Cornwall, TR10 9FE, UK

Overview

I'm a PhD student in Dr. Karen Anderson's DroneLab. I'm interested in applying UAV-based methodologies to monitor vegetation and derive plant traits. I use photogrammetry to derive structural information as well as lightweight multispectral sensors to get indicators of plant health. This PhD project is part of the European "Training on Remote Sensing for Ecosystem Modelling" (TRUSTEE) network. 

Besides UAVs I have experience on a wide range of remote sensing methods and have previously worked on corrections for airborne hyperspectral data and processing of large satellite data time-series. 

Qualifications

MSc in Geography (Remote Sensing), University of Zurich

Career

2017-present      PhD Student, University of Exeter

2016-2017          Research Assistant at Remote Sensing Laboratories, University of Zurich

2011-2016          BSc and MSc Geography, University of Zurich

Links

Research

Publications

Key publications | Publications by category | Publications by year

Publications by category


Journal articles

Fawcett D, Benjamin A, Hill T, Khoon L, Bennie JJ, Anderson K (In Press). Unmanned aerial vehicle (UAV) derived structure-from-motion photogrammetry point clouds for oil palm (Elaeis guineensis) canopy segmentation and height estimation. International Journal of Remote Sensing Full text.
Fawcett D, Blanco-Sacristán J, Benaud P (2019). Two decades of digital photogrammetry: Revisiting Chandler’s 1999 paper on “Effective application of automated digital photogrammetry for geomorphological research” – a synthesis. Progress in Physical Geography, 43(2), 299-312. Abstract.  Full text.
Fawcett D, Verhoef W, Schläpfer D, Schneider FD, Schaepman ME, Damm A (2018). Advancing retrievals of surface reflectance and vegetation indices over forest ecosystems by combining imaging spectroscopy, digital object models, and 3D canopy modelling. Remote Sensing of Environment, 204, 583-595. Abstract.

Conferences

Fawcett D, Anderson K (2019). Investigating impacts of calibration methodology and irradiance variations on lightweight drone-based sensor derived surface reflectance products. Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI. 9th - 12th Sep 2019. Full text.

Publications by year


In Press

Fawcett D, Benjamin A, Hill T, Khoon L, Bennie JJ, Anderson K (In Press). Unmanned aerial vehicle (UAV) derived structure-from-motion photogrammetry point clouds for oil palm (Elaeis guineensis) canopy segmentation and height estimation. International Journal of Remote Sensing Full text.

2019

Fawcett D, Anderson K (2019). Investigating impacts of calibration methodology and irradiance variations on lightweight drone-based sensor derived surface reflectance products. Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI. 9th - 12th Sep 2019. Full text.
Fawcett D, Blanco-Sacristán J, Benaud P (2019). Two decades of digital photogrammetry: Revisiting Chandler’s 1999 paper on “Effective application of automated digital photogrammetry for geomorphological research” – a synthesis. Progress in Physical Geography, 43(2), 299-312. Abstract.  Full text.

2018

Fawcett D, Verhoef W, Schläpfer D, Schneider FD, Schaepman ME, Damm A (2018). Advancing retrievals of surface reflectance and vegetation indices over forest ecosystems by combining imaging spectroscopy, digital object models, and 3D canopy modelling. Remote Sensing of Environment, 204, 583-595. Abstract.

Dominic_Fawcett Details from cache as at 2019-11-14 08:22:37

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