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RSPSoc Student Profile: Li Zhang
Occupation: Research Associate
Interests: environmental remote sensing, precision agriculture, modeling
Course: Remote Sensing and Precision Irrigation
University: University of Nottingham
Research: Remote Sensing of Wilting in Sugar Beet as an Indicator for Spatially Variable Irrigation
Details of Research: 1. Remote Sensing of Wilting in Sugar Beet as an Indicator for Soil Water Holding Capacity University of Nottingham, Nottingham, UK, dissertation research • Conducted spatial and temporal analysis of sugar beet wilting patterns at a within-field scale using aerial photographs in East Anglia region and produced a stress map of sugar beet crops using supervised classification • Conducted sugar beet and soil analysis including soil particle size analysis to determine the causes of the patterns observed in remote sensing imagery • Conducted a statistical analysis to determine whether the relationships between soil water holding capacity and sugar beet wilting stress are significant 2. A Study of the Feasibility of Spatially Variable Irrigation in East Anglia Region University of Nottingham, Nottingham, UK, dissertation research • Analysed local historical weather data to identify drought events and their relation to the wilting patterns observed in both airborne and satellite remote sensing imagery in East Anglia region • Conducted spatial and temporal analysis of the recurrence and magnitude of the patterned ground in the region using SPOT images and aerial photographs • Utilised surveys and published research on economics of irrigation technologies, impacts of environmental legislations and water price to analyse the feasibility of precision irrigation in the region • Explored possible technologies to apply precision irrigation in the patterned fields
