Search Results - "Ziliani, Matteo G."

CubeSat constellations provide enhanced crop phenology and digital agricultural insights using daily leaf area index retrievals by Johansen, Kasper, Ziliani, Matteo G., Houborg, Rasmus, Franz, Trenton E., McCabe, Matthew F.

“…Satellite remote sensing has great potential to deliver on the promise of a data-driven agricultural revolution, with emerging space-based platforms providing…”
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Intra-Season Crop Height Variability at Commercial Farm Scales Using a Fixed-Wing UAV by Ziliani, Matteo, Parkes, Stephen, Hoteit, Ibrahim, McCabe, Matthew

“…Monitoring the development of vegetation height through time provides a key indicator of crop health and overall condition. Traditional manual approaches for…”
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CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions by Aragon, Bruno, Ziliani, Matteo G., Houborg, Rasmus, Franz, Trenton E., McCabe, Matthew F.

“…Earth observation has traditionally required a compromise in data collection. That is, one could sense the Earth with high spatial resolution occasionally; or…”
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Unmanned Aerial Vehicle-Based Phenotyping Using Morphometric and Spectral Analysis Can Quantify Responses of Wild Tomato Plants to Salinity Stress by Johansen, Kasper, Morton, Mitchell J L, Malbeteau, Yoann M, Aragon, Bruno, Al-Mashharawi, Samir K, Ziliani, Matteo G, Angel, Yoseline, Fiene, Gabriele M, Negrão, Sónia S C, Mousa, Magdi A A, Tester, Mark A, McCabe, Matthew F

“…With salt stress presenting a major threat to global food production, attention has turned to the identification and breeding of crop cultivars with improved…”
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Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest by Johansen, Kasper, Morton, Mitchell J L, Malbeteau, Yoann, Aragon, Bruno, Al-Mashharawi, Samer, Ziliani, Matteo G, Angel, Yoseline, Fiene, Gabriele, Negrão, Sónia, Mousa, Magdi A A, Tester, Mark A, McCabe, Matthew F

“…Biomass and yield are key variables for assessing the production and performance of agricultural systems. Modeling and predicting the biomass and yield of…”
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Combining Nadir, Oblique, and Façade Imagery Enhances Reconstruction of Rock Formations Using Unmanned Aerial Vehicles by Tu, Yu-Hsuan, Johansen, Kasper, Aragon, Bruno, Stutsel, Bonny M., Angel, Yoseline, Camargo, Omar A. Lopez, Al-Mashharawi, Samir K. M., Jiang, Jiale, Ziliani, Matteo G., McCabe, Matthew F.

“…Developments in computer vision, such as structure from motion and multiview stereo reconstruction, have enabled a range of photogrammetric applications using…”
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Deciphering salt stress responses in Solanum pimpinellifolium through high‐throughput phenotyping by Morton, Mitchell, Fiene, Gabriele, Ahmed, Hanin Ibrahim, Rey, Elodie, Abrouk, Michael, Angel, Yoseline, Johansen, Kasper, Saber, Noha O., Malbeteau, Yoann, Al‐Mashharawi, Samir, Ziliani, Matteo G., Aragon, Bruno, Oakey, Helena, Berger, Bettina, Brien, Chris, Krattinger, Simon G., Mousa, Magdi A. A., McCabe, Matthew F., Negrão, Sónia, Tester, Mark, Julkowska, Magdalena M.

“…SUMMARY Soil salinity is a major environmental stressor affecting agricultural productivity worldwide. Understanding plant responses to salt stress is crucial…”
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Revisiting the Spatial Scale Effects on Remotely Sensed Evaporation by Aragon, Bruno, Ziliani, Matteo G., McCabe, Matthew F.

“…In recent years, there has been a push to increase agricultural productivity together with water efficiency. The most viable means to achieve this goal is by…”
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Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model by Ziliani, Matteo G., Altaf, Muhammad U., Aragon, Bruno, Houborg, Rasmus, Franz, Trenton E., Lu, Yang, Sheffield, Justin, Hoteit, Ibrahim, McCabe, Matthew F.

“…•CubeSat-based LAI maps were integrated into APSIM using a particle filter.•Assimilating cubesat maps enhances APSIM LAI predictive ability by several…”
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Enhanced flood forecasting through ensemble data assimilation and joint state-parameter estimation by Ziliani, Matteo G., Ghostine, Rabih, Ait-El-Fquih, Boujemaa, McCabe, Matthew F., Hoteit, Ibrahim

“…•Implementation of a flood forecasting system based an ensemble Kalman filter.•Forecasting system is validated with a real test case of the Toce river…”
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Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model by Lu, Yang, Chibarabada, Tendai P., Ziliani, Matteo G., Onema, Jean-Marie Kileshye, McCabe, Matthew F., Sheffield, Justin

“…Parameter calibration is normally required prior to crop model simulation, which can be a time-consuming and data-intensive task. Meanwhile, the growth stages…”
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Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model by Ziliani, Matteo G., Altaf, Muhammad U., Aragon, Bruno, Houborg, Rasmus, Franz, Trenton E., Lu, Yang, Sheffield, Justin, Hoteit, Ibrahim, McCabe, Matthew F.

“…Accurate early season predictions of crop yield at the within-field scale can be used to address a range of crop production, management, and precision…”
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