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Jerome O Connell
Jerome O Connell
ProvEye
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引用次数
引用次数
年份
Miombo woodland under threat: Consequences for tree diversity and carbon storage
EKK Jew, AJ Dougill, SM Sallu, J O’Connell, TG Benton
Forest Ecology and Management 361, 144-153, 2016
1762016
Wide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing
J O’Connell, U Bradter, TG Benton
ISPRS journal of photogrammetry and remote sensing 109, 165-177, 2015
502015
The prevalence and distribution of Alaria alata, a potential zoonotic parasite, in foxes in Ireland
TM Murphy, J O’Connell, M Berzano, C Dold, JD Keegan, A McCann, ...
Parasitology research, 1-8, 2012
502012
Classifying grass-dominated habitats from remotely sensed data: the influence of spectral resolution, acquisition time and the vegetation classification system on accuracy and …
U Bradter, J O'Connell, WE Kunin, CWH Boffey, RJ Ellis, TG Benton
Science of The Total Environment 711, 134584, 2020
362020
Comparing the performance of flat and hierarchical Habitat/Land-Cover classification models in a NATURA 2000 site
Y Gavish, J O'Connell, CJ Marsh, C Tarantino, P Blonda, V Tomaselli, ...
ISPRS Journal of Photogrammetry and Remote Sensing 136, 1-12, 2018
292018
Radiometric normalization for change detection in peatlands: a modified temporal invariant cluster approach
J O'Connell, J Connolly, EF Vermote, NM Holden
International Journal of Remote Sensing 34 (8), 2905-2924, 2013
252013
A monitoring protocol for vegetation change on Irish peatland and heath
J O’connell, J Connolly, NM Holden
International Journal of Applied Earth Observation and Geoinformation 31 …, 2014
242014
Assessing the effectiveness of UAV data for accurate coastal dune habitat mapping
C Cruz, J O’Connell, K McGuinness, JR Martin, PM Perrin, J Connolly
European Journal of Remote Sensing 56 (1), 2191870, 2023
92023
Variable ranking and selection with random forest for unbalanced data
U Bradter, JD Altringham, WE Kunin, TJ Thom, J O’Connell, TG Benton
Environmental Data Science 1, e30, 2022
72022
Quantifying and modelling decay in forecast proficiency indicates the limits of transferability in land‐cover classification
Y Gavish, J O'Connell, TG Benton
Methods in Ecology and Evolution 9 (2), 235-244, 2018
62018
Habitat classification using convolutional neural networks and multitemporal multispectral aerial imagery
S Pérez-Carabaza, O Boydell, J O’Connell
Journal of Applied Remote Sensing 15 (4), 042406-042406, 2021
52021
Monitoring Threatened Irish Habitats Using Multi-Temporal Multi-Spectral Aerial Imagery and Convolutional Neural Networks
S Perez-Carabaza, O Boydell, J O'Connell
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2556 …, 2021
52021
Improving the mapping of coastal invasive species using UAV imagery and deep learning
C Cruz, K McGuinness, PM Perrin, J O’Connell, JR Martin, J Connolly
International Journal of Remote Sensing 44 (18), 5713-5735, 2023
42023
Field spectroscopy data from non-arable, grass-dominated objects in an intensively used agricultural landscape in East Anglia, UK
U Bradter, J O'Connell, WE Kunin, CWH Boffey, RJ Ellis, TG Benton
Data in brief 28, 104888, 2020
42020
Calibration and validation of multispectral multiplatform based change detection on Irish peatlands
JO Connell, J Connolly, N Holden
BIOSYSTEMS ENGINEERING RESEARCH REVIEW 17, 68, 2012
42012
Modelling the effects of floodplain woodland in flood mitigation. A short-term case study.
JO Connell
Irish Forestry, 2008
42008
iHabiMap: habitat mapping, monitoring and assessment using high-resolution imagery
C Cruz, J O'Connell, K McGuinness, J Martin, P Perrin, J Connolly
32019
Assessing the potential of floodplain woodland in flood amelioration
J O’Connell
MSc Dissertation, University of Wales, Bangor, 2004
32004
A multispectral multiplatform based change detection tool for vegetation disturbance on Irish peatlands
J O'Connell, J Connolly, NM Holden
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII 8174, 151-160, 2011
22011
Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning
C Cruz, PM Perrin, JR Martin, J O’Connell, K McGuinness, J Connolly
Environmental Monitoring and Assessment 196 (9), 1-20, 2024
12024
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