Improving phenology predictions for sparsely observed species through fusion of botanical collections and citizen-science (3.102463)
Date: December 2021Creator: Fitzpatrick, Lucien , Giambuzzi, Perry, Reidy, Brendon, Rollinson, Christine R.
Type: Article
Exploring Remotely Sensed Data as an Indicator of Phenological Sensitivity in Oaks (3.91114)
Date: 2020Type: Video
Description:Andrew Ernat, a student in the 2020 Research Experiences for Undergraduates (REU) program, giving the presentation "Exploring Remotely Sensed Data as an Indicator of Phenological Sensitivity in Oaks" as part of the 2020 REU Symposium.