High throughput determination of plant height, ground cover, and above-ground biomass in wheat with LiDAR JA Jimenez-Berni, DM Deery, P Rozas-Larraondo, ATG Condon, ... Frontiers in plant science 9, 237, 2018 | 273 | 2018 |
A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing M Yebra, X Quan, D Riaño, PR Larraondo, AIJM van Dijk, GJ Cary Remote Sensing of Environment 212, 260-272, 2018 | 131 | 2018 |
MSWX: Global 3-Hourly 0.1 ° Bias-Corrected Meteorological Data Including Near-Real-Time Updates and Forecast Ensembles HE Beck, AIJM Van Dijk, PR Larraondo, TR McVicar, M Pan, E Dutra, ... Bulletin of the American Meteorological Society 103 (3), E710-E732, 2022 | 53 | 2022 |
Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations Z Liao, AIJM Van Dijk, B He, PR Larraondo, PF Scarth International Journal of Applied Earth Observation and Geoinformation 93, 102209, 2020 | 38 | 2020 |
SensorDB: a virtual laboratory for the integration, visualization and analysis of varied biological sensor data A Salehi, J Jimenez-Berni, DM Deery, D Palmer, E Holland, ... Plant methods 11, 1-14, 2015 | 38 | 2015 |
A data-driven approach to precipitation parameterizations using convolutional encoder-decoder neural networks PR Larraondo, LJ Renzullo, I Inza, JA Lozano arXiv preprint arXiv:1903.10274, 2019 | 32 | 2019 |
Comparing CNNs and random forests for Landsat image segmentation trained on a large proxy land cover dataset T Boston, A Van Dijk, PR Larraondo, R Thackway Remote Sensing 14 (14), 3396, 2022 | 21 | 2022 |
A method for wind speed forecasting in airports based on nonparametric regression P Rozas-Larraondo, I Inza, JA Lozano Weather and Forecasting 29 (6), 1332-1342, 2014 | 18 | 2014 |
Automating weather forecasts based on convolutional networks PR Larraondo, I Inza, JA Lozano Proceedings of the ICML Workshop on Deep Structured Prediction, PMLR 70, 2017 | 16 | 2017 |
A system for airport weather forecasting based on circular regression trees PR Larraondo, I Inza, JA Lozano Environmental modelling & software 100, 24-32, 2018 | 10 | 2018 |
A data-driven approach to precipitation parameterizations using convolutional encoder-decoder neural networks P Rozas Larraondo, LJ Renzullo, I Inza, JA Lozano arXiv e-prints, arXiv: 1903.10274, 2019 | 9 | 2019 |
Data-driven global weather predictions at high resolutions JA Taylor, P Larraondo, BR de Supinski The International Journal of High Performance Computing Applications 36 (2 …, 2022 | 8 | 2022 |
A data-driven approach to precipitation parameterizations using convolutional encoder-decoder neural networks, arXiv [physics] PR Larraondo, LJ Renzullo, I Inza, JA Lozano arXiv preprint arXiv:1903.10274, 2019 | 8 | 2019 |
The ERF’s Human-induced Regeneration (HIR): What the Beare and Chambers report really found and a critique of its method A Macintosh, D Butler, MC Evans, PR Larraondo, D Ansell, P Gibbons Canberra: The Australian National University, 2022 | 7 | 2022 |
Optimization of deep learning precipitation models using categorical binary metrics PR Larraondo, LJ Renzullo, AIJM Van Dijk, I Inza, JA Lozano Journal of Advances in Modeling Earth Systems 12 (5), e2019MS001909, 2020 | 7 | 2020 |
& Sirault, XR (2018). High throughput determination of plant height, ground cover, and above-ground biomass in wheat with LiDAR JA Jimenez-Berni, DM Deery, P Rozas-Larraondo, ATG Condon, ... Frontiers in plant science 9, 237, 0 | 6 | |
Monitoring groundcover: an online tool for Australian regions JP Guerschman, J Leys, P Rozas Larraondo, M Henrikson, M Paget, ... Technical Report, 2018 | 5 | 2018 |
GSKY: A scalable, distributed geospatial data-server PR Larraondo, S Pringle, J Antony, B Evans Proc. of the 4th Annual Conference of Research@Locate 1913, 7-12, 2017 | 5 | 2017 |
GloLakes: a database of global lake water storage dynamics from 1984 to present derived using laser and radar altimetry and optical remote sensing J Hou, AIJM Van Dijk, LJ Renzullo, PR Larraondo Earth System Science Data Discussions 2022, 1-20, 2022 | 3 | 2022 |
GSio: A programmatic interface for delivering Big Earth data-as-a-service PR Larraondo, S Pringle, J Guo, J Antony, B Evans Big Earth Data 1 (1-2), 173-190, 2017 | 3 | 2017 |