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 | 4 | 2022 |
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 | | |