| Available and missing data to model impact of climate change on European forests P Ruiz-Benito, G Vacchiano, ER Lines, CPO Reyer, S Ratcliffe, X Morin, ... Ecological Modelling 416, 108870, 2020 | 73 | 2020 |
| Derivation of greenhouse gas emission factors for peatlands managed for extraction in the Republic of Ireland and the United Kingdom D Wilson, SD Dixon, RRE Artz, TEL Smith, CD Evans, HJF Owen, ... Biogeosciences 12 (18), 5291-5308, 2015 | 69 | 2015 |
| How do we want Satellite Remote Sensing to support biodiversity conservation globally? N Pettorelli, HJF Owen, C Duncan Methods in Ecology and Evolution 7 (6), 656-665, 2016 | 50 | 2016 |
| Satellite remote sensing to monitor mangrove forest resilience and resistance to sea level rise C Duncan, HJF Owen, JR Thompson, HJ Koldewey, JH Primavera, ... Methods in Ecology and Evolution 9 (8), 1837-1852, 2018 | 40 | 2018 |
| The shape of trees: Reimagining forest ecology in three dimensions with remote sensing ER Lines, FJ Fischer, HJF Owen, T Jucker Journal of Ecology 110 (8), 1730-1745, 2022 | 26 | 2022 |
| Competitive drivers of interspecific deviations of crown morphology from theoretical predictions measured with Terrestrial Laser Scanning HJF Owen, WRM Flynn, ER Lines Journal of Ecology 109 (7), 2612-2628, 2021 | 20 | 2021 |
| A new framework to assess relative ecosystem vulnerability to climate change CKF Lee, C Duncan, HJF Owen, N Pettorelli Conservation Letters 11 (2), e12372, 2018 | 20 | 2018 |
| Tree species classification from complex laser scanning data in Mediterranean forests using deep learning MJ Allen, SWD Grieve, HJF Owen, ER Lines Methods in Ecology and Evolution 14 (7), 1657-1667, 2023 | 18 | 2023 |
| Testing the water: detecting artificial water points using freely available satellite data and open source software HJF Owen, C Duncan, N Pettorelli Remote Sensing in Ecology and Conservation 1 (1), 61-72, 2015 | 15 | 2015 |
| AI applications in forest monitoring need remote sensing benchmark datasets ER Lines, M Allen, C Cabo, K Calders, A Debus, SWD Grieve, M Miltiadou, ... 2022 IEEE International Conference on Big Data (Big Data), 4528-4533, 2022 | 10 | 2022 |
| Quantifying vegetation indices using terrestrial laser scanning: methodological complexities and ecological insights from a Mediterranean forest WRM Flynn, HJF Owen, SWD Grieve, ER Lines Biogeosciences 20 (13), 2769-2784, 2023 | 1 | 2023 |
| Quantifying vegetation indices using TLS: methodological complexities and ecological insights from a Mediterranean forest WIRM Flynn, HJF Owen, SWD Grieve, ER Lines EGUsphere 2022, 1-21, 2022 | 1 | 2022 |
| Novel insights into Mediterranean forest structure using high-resolution remote sensing HJF Owen Queen Mary University of London, 2021 | 1 | 2021 |
| Spatial autocorrelation and congruence in the distribution of language and mammal richness: a reply to Cardillo et al. (2015) N Pettorelli, C Duncan, HJF Owen, ST Turvey Proceedings of the Royal Society B: Biological Sciences 282 (1809), 20150591, 2015 | 1 | 2015 |
| Forest-landscape dynamics across a climate gradient S Grieve, H Owen, P Ruiz-Benito, E Lines EGU24, 2024 | | 2024 |
| Comparison of extracted ecological features of forests from multiple 3D technologies E Lines, W Flynn, S Grieve, H Owen, P Ruiz-Benito EGU General Assembly Conference Abstracts, EGU-8254, 2023 | | 2023 |
| Fusion of European forest inventories with Sentinel-1 and Sentinel-2 data for improving scalability in estimating forest variables M Miltiadou, S Grieve, J Tijerín Triviño, J Astigarraga, H Owen, ... EGU General Assembly Conference Abstracts, EGU-8720, 2023 | | 2023 |
| High resolution forest-landscape interactions S Grieve, H Owen, P Ruiz-Benito, E Lines EGU General Assembly Conference Abstracts, EGU-8684, 2023 | | 2023 |
| A new framework to assess relative ecosystem vulnerability to climate change. KFC Lee KaFai [Lee, C Duncan, HJF Owen, N Pettorelli | | 2018 |
Nathalie PettorelliInstitute of Zoology, Zoological Society of LondonEmail confirmado em ioz.ac.uk
