Social and economic changes occurring in post-socialist Russia have led to shifting patterns of selective logging in the understudied temperate forests of Russia, potentially leading to poor estimates of carbon stocks across this vast region. Matthias Baumann hopes to describe these patterns of forest cover change and refine methods for remotely sensing selective logging and determining it’s impacts on carbon stock estimates for these forests.
Last fall, Jodi Brandt started a new, exciting project studying intertwined networks of human-natural relationships in NW Yunnan, China. Jodi will primarily use high-tech remote sensing and geographic information system approaches to uncover some of the mysteries of her study region.
Chain Classification is a new methodology to map landcover for large areas. The basic idea is to extrapolate the information obtained in one classified image (first) to classify an adjacent image (second). A third image can be classified based on the second and so on, resulting in a Chain classification.
With an increasing human population and expanding impact on the environment, extinctions are happening at an unprecedented pace. So what would happen if people suddenly left the land and let it return to a natural state. Well, just such a scenario is playing out in Eastern Europe following the collapse of the former U.S.S.R..