Extreme weather events are expected to increase in the future. Extreme weather could result in population declines if these strike during the breeding season for North American passerines.
Historical maps are pretty AND useful. Catalina is using them to determine the effects of past land use on subsequent land cover change in the Carpathian Region of Europe.
Forests of Mexico are under threat due to development, both for urban and agricultural purposes. However, it is not clear the spatial and temporal extent to which this is happening. SILVIS PhD candidate, Carlos Ramirez Reyes is exploring this using remote sensing data, and a novel method, spectral mixture analysis.
What happens when it gets too dry? Brooke Bateman discovers how migratory birds like Dickcissels respond to extreme drought events in the Midwestern United States and looks at what that means for future management and conservation efforts.
Satellite imagery provides invaluable information regarding land cover features over time. However, since many satellite-based image sensors cannot see through clouds, imagery researchers need to screen cloudy pixels from cloud-free pixels in order to analyze land change through time.
Can you predict biodiversity abundance without fieldwork, sitting at your desk? Patrick Culbert can. Using satellite images and data from Breeding Bird Survey, Patrick estimates abundance of bird species across United States.
Do we know how climate change and extreme weather conditions affect wildlife in particular bird populations?
How do you find stopover habitat of migrants moving under the cover of night? David La Puma uses weather radar to see in the dark and identify sites across the southeastern U.S.
Rural housing development and fires: Understanding trends of housing loss to wildfires and rebuilding efforts throughout the United States.
Using powerful remote sensing technologies, Patrick Culbert seeks to map the size of agricultural fields with an unprecedented degree of detail, over large areas.
