
Taifeng Dong
Post Doctoral Fellow
Agriculture and Agri-Food Canada
1
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
martes 26 marzo, 2024
Zona horaria: (GMT-05:00) Eastern Time (US & Canada)
Lidar CANEX Cold Open
8:45 AM EDT -
9:00 AM EDT |
15 minutos
miércoles 27 marzo, 2024
Zona horaria: (GMT-05:00) Eastern Time (US & Canada)
Reference System Modernization: Canadian plans and timelines
1:00 PM EDT -
2:00 PM EDT |
1 hour