| Dynamic World, Near real-time global 10 m land use land cover mapping CF Brown, SP Brumby, B Guzder-Williams, T Birch, SB Hyde, ... Scientific Data 9 (1), 251, 2022 | 332 | 2022 |
| Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty BW Allred, BT Bestelmeyer, CS Boyd, C Brown, KW Davies, MC Duniway, ... Methods in Ecology and Evolution 12 (5), 841-849, 2021 | 142 | 2021 |
| Dynamic World, Near real-time global 10 m land use land cover mapping, Sci. Data, 9, 251 CF Brown, SP Brumby, B Guzder-Williams, T Birch, SB Hyde, ... | 46 | 2022 |
| Comprehensive quality assessment of optical satellite imagery using weakly supervised video learning VJ Pasquarella, CF Brown, W Czerwinski, WJ Rucklidge Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Not-so-random forests: Comparing voting and decision tree ensembles for characterizing partial harvest events VJ Pasquarella, LL Morreale, CF Brown, JB Kilbride, JR Thompson International Journal of Applied Earth Observation and Geoinformation 125 …, 2023 | 1 | 2023 |
| Satellite detection of canopy-scale tree mortality and survival from California wildfires with spatio-temporal deep learning DJ Dixon, Y Zhu, CF Brown, Y Jin Remote Sensing of Environment 298, 113842, 2023 | 1 | 2023 |
| Observations and Geoinformation VJ Pasquarella, P Arévalo, KH Bratley, EL Bullock, N Gorelick, Z Yang, ... International Journal of Applied Earth Observation and Geoinformation 110 …, 2022 | | 2022 |
| Ultradark: Solving Sentinel-2 Image Quality Assessment with Unsupervised Multi-Objective Deep Learning C Brown, VJ Pasquarella, W Czerwinski, WJ Rucklidge, OJ Guinan AGU Fall Meeting 2021, 2021 | | 2021 |
| Towards Planetary Scale Machine Learning for Everyone (Invited) CF Brown AGU Fall Meeting, 2020 | | 2020 |
