High resolution tree canopy cover data products likely benefit estimates from urban tree inventories

Thursday, September 19, 2024

9:30 AM – 10:30 AM MST

Location: McKee Hall

Speaker(s)

Laura Hanna, MS (she/her/hers)

FIA Database Analyst
Colorado State University, United States

Author(s)

CH

Christina Herrick

Research Scientist
University of New Hampshire, United States
AY

Alexander Young, MS

Research Scientist
University of New Hampshire, United States

High resolution tree canopy cover datasets show general agreement with field-based estimates of canopy cover, but the strength of the agreement depends strongly on land cover class and amount of tree canopy cover.

Learning Objectives:

Upon completion, participant will be able to describe how AI generated tree canopy cover data compares with field-based measurements of tree canopy cover.
Upon completion, participant will be able to demonstrate increased understanding of how the amount of tree cover in a city relates to the precision and accuracy of canopy cover estimates.