Integrating diverse satellite images sharpens our picture of activity on Earth (op-ed)
A new mathematical application provides a more complete picture of our changing world by drawing on data from several kinds of sensors.
Amanda Ziemann
Los Alamos National Laboratory
Amanda Ziemann (ziemann@lanl.gov) received her B.S. and M.S. degrees in applied mathematics from the Rochester Institute of Technology (RIT), New York, in 2010 and 2011, respectively, and her Ph.D. in imaging science from RIT in 2015. She was an Agnew National Security Postdoctoral Fellow at Los Alamos National Laboratory (LANL), New Mexico, and is currently a staff scientist in the Space Data Science and Systems Group at LANL. She is a referee for several international journals. Her research interests include remote sensing, spectral imaging, signal detection, and data fusion.
