Matthew F McCabe

Affiliations: 
2008-2012 Civil and Environmental Engineering University of New South Wales, Kensington, New South Wales, Australia 
 2012- Biological and Environmental Sciences and Engineering King Abdullah University of Science and Technology, Thuwal, Saudi Arabia 
Area:
remote sensing, water security, precision agriculture, climate impacts, UAVs
Website:
https://www.kaust.edu.sa/en/study/faculty/matthew-mccabe
Google:
"Matthew McCabe"
Bio:

Prof. McCabe’s research focuses on issues related to water and food security, climate change impacts, precision agriculture, water resources monitoring and modeling, and the novel use of technologies for enhanced Earth system observation. The research undertaken in his group combines models and observations to answer questions on the distribution, variability and exchanges of water at local, regional and global scales, as well as the interactions with vegetation. CubeSats, unmanned aerial vehicles (UAVs) and in-situ monitoring techniques are all employed to monitor terrestrial processes, while a range of modeling and statistical approaches are used to understand and predict system behavior. Improved description and understanding of the water-food nexus is a key objective of his research.

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Publications

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Morton M, Fiene G, Ahmed HI, et al. (2024) Deciphering salt stress responses in Solanum pimpinellifolium through high-throughput phenotyping. The Plant Journal : For Cell and Molecular Biology
Angel Y, McCabe MF. (2022) Machine Learning Strategies for the Retrieval of Leaf-Chlorophyll Dynamics: Model Choice, Sequential Versus Retraining Learning, and Hyperspectral Predictors. Frontiers in Plant Science. 13: 722442
Johansen K, Ziliani MG, Houborg R, et al. (2022) CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals. Scientific Reports. 12: 5244
Aragon B, Ziliani MG, Houborg R, et al. (2021) CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions. Scientific Reports. 11: 12131
Johansen K, Lopez O, Tu Y, et al. (2021) Center pivot field delineation and mapping: A satellite-driven object-based image analysis approach for national scale accounting Isprs Journal of Photogrammetry and Remote Sensing. 175: 1-19
Johansen K, Morton MJL, Malbeteau Y, et al. (2020) Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest. Frontiers in Artificial Intelligence. 3: 28
López Valencia OM, Johansen K, Aragón Solorio BJL, et al. (2020) Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach Hydrology and Earth System Sciences. 24: 5251-5277
Ma C, Li X, McCabe MF. (2020) Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data Remote Sensing. 12: 2303
Fisher JB, Lee B, Purdy AJ, et al. (2020) ECOSTRESS: NASA's Next Generation Mission to Measure Evapotranspiration From the International Space Station Water Resources Research. 56
Franz TE, Pokal S, Gibson JP, et al. (2020) The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield Field Crops Research. 252: 107788
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