Chad Babcock
Chad Babcock is an assistant professor in the Department of Forest Resources, College of Food, Agriculture and Natural Resource Sciences, at the University of Minnesota Twin Cities.
Education and Career[edit]
Babcock received a BS in Forest Management from Michigan State University in 2009. He earned an MS in Applied Statistics and an MS in Geography from Michigan State University, both in 2014, and a PhD in Forest Sciences from the University of Washington in 2017.[1] In 2017-2018 he was a postdoc, splitting his time between the Precision Forestry Center in the Remote Sensing and Geospatial Analysis Laboratory at the University of Washington under Dr. L. Monika Moskal and the Geospatial Lab at Michigan State University under Dr. Andrew Finley.[2] In 2019 he joined the faculty of the Department of Forest Resources in the College of Food, Agricultural and Natural Resource Sciences at the University of Minnesota as an assistant professor.[3]
Research[edit]
To date, most of Babcock’s work has been part of the NASA Carbon Monitoring System project.[4] [5] He has focused on prototyping the capabilities necessary to support the needs of stakeholders (e.g. smaller landowners) for monitoring, reporting, and verification of carbon stocks and fluxes. More reliable estimates available at a lower cost would allow smaller landowners to enter into carbon markets. In his work, Babcock focuses on the use of remote sensing (including space-based Landsat imagery and airborne LiDAR data as well as spectroscopy), geospatial analysis, and Bayesian statistics. Working with other scientists from across the fields of natural resources, ecology, remote sensing, and statistics, he builds models that link remote sensing data with field-based measurements to improve forest inventory estimates.This, in turn, will make it possible to address urgent questions related to the inventory, monitoring, and management of natural resources. The maps of forest carbon and biomass that are produced characterize the uncertainty in the models so that the resulting estimates of forest biomass are statistically robust.
External Links[edit]
"Accounting for uncertainty In aboveground forest biomass maps", Technology and Forest Carbon Webinar Series offered by Sustainable Forests Education Cooperative and University of Minnesota Extension, https://www.youtube.com/watch?v=HCJ15uKUKgM, presented on 2022-11-12.
"Accounting For Carbon: How much carbon is stored in the University of Minnesota Cloquet Forestry Center?" https://storymaps.arcgis.com/stories/f0c99bdce70e48b1a1db74c8f8f29e88, Ethan Emick and Chad Babcock, 2021-10-14.
Publications indexed by Google Scholar: https://scholar.google.com/citations?user=UJWowwwAAAAJ&hl=en
References[edit]
- ↑ "Chad Babcock | Department of Forest Resources". forestry.umn.edu. Retrieved 2022-11-22.
- ↑ "Past". Remote Sensing & Geospatial Analysis Laboratory. 2017-11-14. Retrieved 2022-11-22.
- ↑ "Chad Babcock | Andrew O. Finley". Andrew O. Finley. Retrieved 2022-11-22. Unknown parameter
|url-status=ignored (help) - ↑ "CMS - The NASA Carbon Monitoring System". NASA Carbon Monitoring System. Retrieved 2022-11-22. Unknown parameter
|url-status=ignored (help) - ↑ "Babcock Arctic Boreal Vulnerability Experiment (ABoVE) Personnel Account". ABOVE: Arctic-Boreal Vulnerability Experiment. 2022-11-22. Retrieved 2022-11-22. Unknown parameter
|url-status=ignored (help)
This article "Chad Babcock" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Chad Babcock. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
