Skip to main page content

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.

Elementy, w których Taifeng Dong attends

wtorek 26 marzec, 2024

Strefa czasowa: (GMT-05:00) Eastern Time (US & Canada)
8:45 PRZED POŁUDNIEM
8:45 PRZED POŁUDNIEM EDT - 9:00 PRZED POŁUDNIEM EDT | 15 min.

środa 27 marzec, 2024

Strefa czasowa: (GMT-05:00) Eastern Time (US & Canada)
1:00 PO POŁUDNIU
1:00 PO POŁUDNIU EDT - 2:00 PO POŁUDNIU EDT | 1 godz.

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...