| Evaluation and comparison of a machine learning cloud identification algorithm for the SLSTR in polar regions C Poulsen, U Egede, D Robbins, B Sandeford, K Tazi, T Zhu Remote Sensing of Environment 248, 111999, 2020 | 13 | 2020 |
| Improving discrimination between clouds and optically thick aerosol plumes in geostationary satellite data D Robbins, C Poulsen, S Siems, S Proud Atmospheric Measurement Techniques 15 (9), 3031-3051, 2022 | 5 | 2022 |
| Geostationary aerosol retrievals of extreme biomass burning plumes during the 2019–2020 Australian bushfires DJV Robbins, CA Poulsen, ST Siems, SR Proud, AT Prata, RG Grainger, ... Atmospheric Measurement Techniques 17 (10), 3279-3302, 2024 | | 2024 |
| Characterizing Smoke Haze Events in Australia Using a Hybrid Approach of Satellite-Based Aerosol Optical Depth and Chemical Transport Modeling M Sowden, IC Hanigan, DJV Robbins, M Cope, JD Silver, J Noonan Remote Sensing 16 (7), 1266, 2024 | | 2024 |
| Evaluation of the ORAC algorithm for geostationary liquid water cloud retrievals over the Southern Ocean A Prata, L Kang, ST Siems, R Marchand, DJV Robbins, CA Poulsen, ... AGU23, 2023 | | 2023 |
| Geostationary aerosol retrievals of extreme biomass burning plumes during the 2019–20 Australian bushfires DJV Robbins, C Poulsen, S Siems, S Proud, A Prata, R Grainger, A Povey EGUsphere 2023, 1-37, 2023 | | 2023 |
| Investigating the Radiative Impacts of the 2019-20 Australian Bushfires through Improved Passive Satellite Retrieval Techniques DJV ROBBINS Monash University, 0 | | |
