Valerie Pasquarella

NE CSC Postdoctoral Fellow
Postdoctoral Research Associate

Consortium Institution: 

University of Massachusetts

Affiliations: 

Department of Environmental Conservation

Education: 

Ph.D.: Geography, Boston University, 2016
M.A.: Environmental Remote Sensing and Geographic Information Systems, Boston University, 2010
B.A.: Environmental Science, Boston University

Experience: 

Research Assistant, Utilizing the Landsat spectral-temporal domain for mapping and monitoring ecosystem state and dynamics, Boston University, 2014–2016,
Teaching As Research (TAR) Fellow, Center for Integration of Research, Teaching and Learning (CIRTL) / Boston University, 2015–2016
Teaching Fellow, "The Nature of Inquiry”, Kilachand Honors College, Boston University, 2015
Research Assistant, Landsat time series analysis of vegetation dynamics and coastal geomorphology of mangrove fringe in the Mekong Delta, Boston University, 2014
Teaching Fellow, "Marine GIS”, Boston University Marine Program (BUMP), 2013, 2014
Senior Teaching Fellow / Lecturer, "Introduction to Geographic Information Systems”, Boston University, 2013, 2014
Research Assistant, Mapping methane leaks from natural gas infrastructure, Boston University Center for Energy & Environmental Studies, 2013
Teaching Fellow, "Introduction to Quantitative Environmental Models", Boston University, 2011, 2012
NSF Graduate STEM Fellow in K-12 Education, Project GLACIER (GlobAl Change Initiative Education and Research), Boston University, 2010-2011
Presidential University Graduate Fellow, Boston University, 2009-2010

Research Interests: 

I am a spatial data scientist working at the intersection of remote sensing and ecology. Just as the carbon dioxide observations that form the Keeling Curve revolutionized the study of the global carbon cycle, free and open access to all Landsat imagery held by the USGS is fundamentally changing how the Landsat record is being used to study ecosystems and ecological dynamics. In my projects, I use time series of all high quality Landsat observations to map and monitor a variety of species, habitats, and drivers of change, with previous efforts focused on improved mapping of forest communities, annual monitoring of beaver activity, and detection of gypsy moth defoliation. My current research seeks to utilize dense time series of Landsat observations to characterize impacts of both invasive species and climate on ecosystem condition, with the goal of advancing our understanding of how various agents, processes and constraints influence both seasonal and long-term dynamics of landscapes in the Northeast.  

Recent publications:

Pasquarella, V. J., Holden, C. E., Kaufman, L. and Woodcock, C. E. (2016), From imagery to ecology: leveraging time series of all available Landsat observations to map and monitor ecosystem state and dynamics. Remote Sens Ecol Conserv. doi:10.1002/rse2.24