| Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling and a satellite-model fusion approach O Lopez, K Johansen, B Aragon, T Li, R Houborg, Y Malbeteau, ... Hydrology and Earth System Sciences Discussions 2020, 1-41, 2020 | 27 | 2020 |
| A machine learning approach for identifying and delineating agricultural fields and their multi-temporal dynamics using three decades of Landsat data T Li, K Johansen, MF McCabe ISPRS Journal of Photogrammetry and Remote Sensing 186 (0924-2716), 83-101, 2022 | 16 | 2022 |
| Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting K Johansen, O Lopez, YH Tu, T Li, MF McCabe ISPRS Journal of Photogrammetry and Remote Sensing 175, 1-19, 2021 | 15 | 2021 |
| A Retrospective Analysis of National-Scale Agricultural Development in Saudi Arabia from 1990 to 2021 T Li, OM López Valencia, K Johansen, MF McCabe Remote Sensing 15 (3), 731, 2023 | 2 | 2023 |
| Monitoring three decades of center-pivot field dynamics in Saudi Arabia using a hybrid machine learning framework T Li, K Johansen, MF McCabe European Space Agency’s 2022 Living Planet Symposium., 2022 | | 2022 |
| Monitoring agricultural water use in Saudi Arabia: providing benchmark estimates from the field-scale to regional-scale O Lopez, K Johansen, T Li, B Aragon, M McCabe AGU Fall Meeting Abstracts 2019, B31L-2476, 2019 | | 2019 |
| Exploring supervised and unsupervised crop classification in a dryland irrigated environment T Li, F Harrou, R Houborg, Y Sun, M McCabe AGU Fall Meeting Abstracts 2018, B23J-2654, 2018 | | 2018 |
Matthew F McCabeProfessor and Director, King Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
