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Taifeng Dong

Post Doctoral Fellow
Agriculture and Agri-Food Canada
I have developed a good knowledge in remote sensing application in ecology. Research experience from my Ph.D. study has focused on understanding and modeling of vegetation productivity (specifically in agriculture) based on satellite observations. Currently, I am particularly interested in the methodology development and application of Earth observation technology to agriculture land use monitoring, crop growth modelling, and land productivity mapping. Specifically, I am conducting studies to evaluate how cropland productivity responded to the climate change based on time series of remote sensing observations. I am well experienced in the biophysical and biochemical variables estimation from multi-source remote sensing, and the mapping of crop productivity (e.g. crop biomass and yield) by assimilating them into the crop growth model.

Sessions in which Taifeng Dong attends

Tuesday 26 March, 2024

Time Zone: (GMT-05:00) Eastern Time (US & Canada)
8:45 AM
8:45 AM EDT - 9:00 AM EDT | 15 minutes

Wednesday 27 March, 2024

Time Zone: (GMT-05:00) Eastern Time (US & Canada)
1:00 PM
1:00 PM EDT - 2:00 PM EDT | 1 hour

The United States’ National Geodetic Survey (NGS) plans to modernize their National Spatial Reference System (NSRS) in 2025, including adopting a new dynamic geometric reference (the North American Terrestrial Reference Frame of 2022 (NATRF2022)) and a new geoid-based height system (the North American-Pacific Geopotential Datum of 2022 (NAPGD2022)). To ensure continued geospatial referencing compatibility, the Canadian Geodetic Survey (CGS) plans to modernize the Canadian Spatial Reference Sy...