| The Australian geoscience data cube—foundations and lessons learned A Lewis, S Oliver, L Lymburner, B Evans, L Wyborn, N Mueller, G Raevksi, ... Remote Sensing of Environment 202, 276-292, 2017 | 370 | 2017 |
| ASTER mineral index processing manual A Kalinowski, S Oliver Remote Sensing Applications, Geoscience Australia 37 (36), 36-37, 2004 | 227 | 2004 |
| Rapid, high-resolution detection of environmental change over continental scales from satellite data–the Earth Observation Data Cube A Lewis, L Lymburner, MBJ Purss, B Brooke, B Evans, A Ip, AG Dekker, ... International Journal of Digital Earth 9 (1), 106-111, 2016 | 122 | 2016 |
| Investigating the impact of using IR bands on early fire smoke detection from landsat imagery with a lightweight CNN model L Zhao, J Liu, S Peters, J Li, S Oliver, N Mueller Remote Sensing 14 (13), 3047, 2022 | 38 | 2022 |
| Unlocking the Australian landsat archive–from dark data to high performance data infrastructures MBJ Purss, A Lewis, S Oliver, A Ip, J Sixsmith, B Evans, R Edberg, ... GeoResJ 6, 135-140, 2015 | 38 | 2015 |
| A hybrid approach to automated landsat pixel quality J Sixsmith, S Oliver, L Lymburner 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 4146 …, 2013 | 20 | 2013 |
| Digital earth Australia-from satellite data to better decisions D Gavin, T Dhu, S Sagar, N Mueller, B Dunn, A Lewis, L Lymburner, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 15 | 2018 |
| ASTER mineral index processing A Kanlinowski, S Oliver Remote Sensing Application Geoscience Australia. Australian Government …, 2004 | 14 | 2004 |
| Mineral mapping with ASTER S Oliver, S van der Wielen AUSGEO NEWS (Geoscience Australia) 28, 2006 | 10 | 2006 |
| Learning class-specific spectral patterns to improve deep learning-based scene-level fire smoke detection from multi-spectral satellite imagery L Zhao, J Liu, S Peters, J Li, N Mueller, S Oliver Remote Sensing Applications: Society and Environment 34, 101152, 2024 | 8 | 2024 |
| Remote sensing and spectral investigations in the Western Succession, Mount Isa Inlier: Implications for exploration S Van Der Wielen, S Oliver, A Kalinowski CRC Conference, Barossa Valley, 1-3, 2004 | 8 | 2004 |
| Onboard ai for fire smoke detection using hyperspectral imagery: an emulation for the upcoming Kanyini hyperscout-2 mission S Lu, E Jones, L Zhao, Y Sun, K Qin, J Liu, J Li, P Abeysekara, N Mueller, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 6 | 2024 |
| Remotely sensed imaging of hydrothermal footprints in Western Succession, Mount Isa Inlier SE Van der Wielen, S Oliver, AA Kalinowski, J Creasy pmd* CRC I1 Project Final Report—3D Basin Architecture and Minerals Systems …, 2005 | 6 | 2005 |
| Application of normalized radar backscatter and hyperspectral data to augment rangeland vegetation fractional classification M Rigge, B Bunde, K Postma, S Oliver, N Mueller Remote Sensing 16 (13), 2315, 2024 | 3 | 2024 |
| Choice of Solar Spectral Irradiance Model for Current and Future Remote Sensing Satellite Missions F Li, DLB Jupp, BL Markham, IC Lau, C Ong, G Byrne, M Thankappan, ... Remote Sensing 15 (13), 3391, 2023 | 3 | 2023 |
| Iterating Petabyte-Scale Earth Observation Processes in The Australian Geoscience Data Cube A Lewis, S Oliver, A Ip, S Ring, D Roberts, N Mueller, M Thankappan, ... Big Data from Space, 2014 | 2 | 2014 |
| Analysis ready data sensitivity analyses LW Wang, F Li, I Alam, D Jupp, S Oliver, M Thankappan IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 1 | 2019 |
| SMOKE INHALATION-A POISON CENTER PROTOCOL FOR MANAGEMENT SA Oliver, RW Jaeger, FJ DECASTRO VETERINARY AND HUMAN TOXICOLOGY 22 (2), 84-86, 1980 | 1 | 1980 |
| Cross-sensor transfer learning for fire smoke scene detection using variable-bands multi-spectral satellite imagery aided by spectral patterns L Zhao, J Liu, S Peters, J Li, N Mueller, S Oliver International Journal of Remote Sensing 45 (10), 3332-3348, 2024 | | 2024 |
| Energy efficient onboard AI for early fire-smoke detection S Peters, S Lu, E Jones, J Liu, J Li, J O’Hehir, K Qin, Y Sun, N Mueller, ... Energy efficient onboard AI for early fire-smoke detection, 1-84, 2023 | | 2023 |