Exploring the relationship between red edge parameters and crop variables for precision agriculture. - Jiangui Liu; John R. Miller 001; Driss Haboudane; Elizabeth Pattey (IGARSS, 2004)

Monitoring crop biomass accumulation using multi-temporal hyperspectral remote sensing data. - Jiangui Liu; John R. Miller 001; Elizabeth Pattey; Driss Haboudane; Ian B. Strachan; Matt Hinther (IGARSS, 2004)

Narrowband vegetation indexes and detection of disease damage in soybeans. - Bernard J. Vigier; Elizabeth Pattey; Ian B. Strachan (IEEE Geosci. Remote. Sens. Lett., 2004)

Impact of the spatial resolution of climatic data and soil physical properties on regional corn yield predictions using the STICS crop model. - Guillaume Jégo; Elizabeth Pattey; S. Morteza Mesbah; Jiangui Liu; Isabelle Duchesne (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Model development in DNDC for the prediction of evapotranspiration and water use in temperate field cropping systems. - Baishali Dutta; W. N. Smith; B. B. Grant; Elizabeth Pattey; R. L. Desjardins; C. Li (Environ. Model. Softw., 2016)

Retrieving Leaf and Canopy Water Content of Winter Wheat Using Vegetation Water Indices. - Chao Zhang 018; Elizabeth Pattey; Jiangui Liu; Huanjie Cai; Jiali Shang; Taifeng Dong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Coupling Hyperspectral Remote Sensing Data with a Crop Model to Study Winter Wheat Water Demand. - Chao Zhang 018; Jiangui Liu; Taifeng Dong; Elizabeth Pattey; Jiali Shang; Min Tang; Huanjie Cai; Qaisar Saddique (Remote. Sens., 2019)

Improving the simulation of soil temperature within the EPIC model. - Luca Doro; Xiuying Wang 003; Christof Ammann; Massimiliano De Antoni Migliorati; Thomas Grünwald; Katja Klumpp; Benjamin Loubet; Elizabeth Pattey; Georg Wohlfahrt; Jimmy R. Williams; M. Lee Norfleet (Environ. Model. Softw., 2021)

Residual correlation and ensemble modelling to improve crop and grassland models. - Renata Sándor; Fiona Ehrhardt; Peter Grace; Sylvie Recous; Pete Smith; Val Snow; Jean-François Soussana; Bruno Basso; Arti Bhatia; Lorenzo Brilli; Jordi Doltra; Christopher D. Dorich; et al. (Environ. Model. Softw., 2023)