Segui
Amy Woodget
Amy Woodget
Earth Observation Lead Adviser (Natural England)
Email verificata su naturalengland.org.uk
Titolo
Citata da
Citata da
Anno
Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry
AS Woodget, PE Carbonneau, F Visser, IP Maddock
Earth surface processes and landforms 40 (1), 47-64, 2015
4392015
Drones and digital photogrammetry: from classifications to continuums for monitoring river habitat and hydromorphology
AS Woodget, R Austrums, IP Maddock, E Habit
Wiley Interdisciplinary Reviews: Water 4 (4), e1222, 2017
1642017
Subaerial gravel size measurement using topographic data derived from a UAV‐SfM approach
AS Woodget, R Austrums
Earth Surface Processes and Landforms 42 (9), 1434-1443, 2017
1042017
Adopting deep learning methods for airborne RGB fluvial scene classification
PE Carbonneau, SJ Dugdale, TP Breckon, JT Dietrich, MA Fonstad, ...
Remote Sensing of Environment 251, 112107, 2020
742020
From manned to unmanned aircraft: Adapting airborne particle size mapping methodologies to the characteristics of sUAS and SfM
AS Woodget, C Fyffe, PE Carbonneau
Earth Surface Processes and Landforms 43 (4), 857-870, 2018
632018
Processes at the margins of supraglacial debris cover: quantifying dirty ice ablation and debris redistribution
C. Fyffe, A.S. Woodget et al.
Earth Surface Processes and Landforms, 2020
442020
The accuracy and reliability of traditional surface flow type mapping: Is it time for a new method of characterizing physical river habitat?
AS Woodget, F Visser, IP Maddock, PE Carbonneau
River Research and Applications 32 (9), 1902-1914, 2016
392016
Quantifying below-water fluvial geomorphic change: The implications of refraction correction, water surface elevations, and spatially variable error
AS Woodget, JT Dietrich, RT Wilson
Remote Sensing 11 (20), 2415, 2019
282019
Unmanned Aerial Systems (UAS) for environmental applications special issue preface
A Simic Milas, JJ Sousa, TA Warner, AC Teodoro, E Peres, JA Gonçalves, ...
International Journal of Remote Sensing 39 (15-16), 4845-4851, 2018
252018
An evaluation of a low-cost pole aerial photography (PAP) and structure from motion (SfM) approach for topographic surveying of small rivers
F Visser, A Woodget, A Skellern, J Forsey, J Warburton, R Johnson
International journal of remote sensing 40 (24), 9321-9351, 2019
182019
Quantifying physical river habitat parametres using hyperspatial resolution UAS imagery and SfM-photogrammetry
A Woodget
University of Worcester, 2015
13*2015
An assessment of airborne lidar for forest growth studies
AS Woodget, DNM Donoghue, P Carbonneau
Ekscentar, 47-52, 2007
112007
Quantifying fluvial substrate size using hyperspatial resolution UAS imagery and SfM-photogrammetry
AS Woodget, F Visser, IP Maddock, P Carbonneau, R Austrums
Extended Abstract, 11th International Symposium on Ecohydraulics, 2016
102016
Climate change impact on cliff instability and erosion
R Moore, J Rogers, A Woodget, A Baptiste
Environment Agency Annual Conference, 2010
82010
Climate change impact on cliff instability and erosion in the UK. FCRM> 10
R Moore, J Rogers, A Woodget, A Baptiste
Proceedings of the Environment Agency Conference of River and Coastal …, 2010
72010
Spatial validation of submerged fluvial topographic models by mesohabitat units
CA Puig-Mengual, AS Woodget, R Muñoz-Mas, F Martínez-Capel
International Journal of Remote Sensing 42 (7), 2391-2416, 2021
62021
Living England: Satellite-based habitat classification- Technical User Guide (NERR108)
A Kilcoyne, M Clement, C Moore, G Picton Phillipps, R Keane, A Woodget, ...
file:///C:/Users/m1003216/Downloads/Edition%201%20NERR108%20Living%20England …, 2022
3*2022
Unmanned aerial vehicles for riverine environments
MR Casado, A Woodget, RB Gonzalez, I Maddock, P Leinster
Unmanned aerial remote sensing, 55-75, 2020
32020
Generalised classification of hyperspatial resolution airborne imagery of fluvial scenes with deep convolutional neural networks.
P Carbonneau, T Breckon, J Dietrich, S Dugdale, M Fonstad, H Miyamoto, ...
Geophysical Research Abstracts 21, 2019
32019
Quantifying Fluvial Topography Using UAS Imagery and SfM-Photogrammetry.
A Woodget, P Carbonneau, F Visser, I Maddock, E Habit
32014
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20