Talking about drones

Lindsay “Bar” Barbieri discusses her research with drones and the inevitable question from bystanders, “what are you doing???” Bar is active with the Earth Science Information Partnership that bridges applied researchers with engineers to combine cutting edge questions and technology.

UVM PhD student Lindsay Barber launches her research drone into the sky.

UVM PhD student Lindsay Barbieri launches a drone over her field site. Photo: Joshua Brown



Congrats to our newest Master!

August marked the end of an era and the start of a new for Alison Adams. Alison defended her masters thesis “SPATIAL MODELING OF FOREST CARBON AND LAND COVER IN THE NORTHERN FOREST: METHODS, PATTERNS, AND PROJECTIONS” (abstract below). She’s finishing up two articles from her masters work on carbon modeling and forest change simulations using Dinamica EGO. Next up, Alison is embarking in the E4A program as a PhD student and will remain an active member of this research group.



The ability to monitor changes in forest extent and composition is critical to sustainably manage forested ecosystems and assess changes in the provision of ecosystem services. However, current land cover products covering the northeastern United States provide neither the spatial, informational, nor temporal resolution necessary to perform comprehensive longitudinal analyses of changes in forest cover and carbon stored in the region. Most analyses of forest cover and carbon storage consider only coarse forest types (e.g. “temperate continental, evergreen, mixed”) or employ expensive remotely-sensed products not available across large areas.


In this study we employ new land cover products that categorize forests by species association to 1) test three methods for calculating carbon stored at a landscape scale to determine the influence of species specificity on carbon storage estimates, 2) use new remotely-sensed data products that map more detailed forest species associations to quantify forest change and drivers of those changes, and 3) predict forested areas that may be vulnerable to future change based on historical patterns. Together, the results of this research provide the basis for understanding past and future changes in the region’s forests, and can inform forest management and planning at a regional scale.

Floodplains Saved Middlebury $1.8M in Avoided Damages

Story by Caroline Shapiro, re-posted from

KeriWatson_Head2_800x400_WEBPhoto by W. Watson
UVM PhD student Keri Bryan Watson led the first study to calculate the economic benefits of river wetlands and floodplains during Tropical Storm Irene and other major East Coast floods.