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UID:bff8f3d8-773c-42a7-8066-dd77307584e2@nexttoyou
DTSTAMP:20261105T160957Z
DTSTART:20261105T210000Z
DTEND:20261105T220000Z
SUMMARY:Geology & Environmental Science Colloquium: Dr. Shashank Bhushan |
  University of Maryland Earth System Science Interdisciplinary Center and
  NASA Goddard Space Flight Center's Biospheric Sciences Laboratory
LOCATION:Thaw Hall 104\, 3943 O'Hara Street\, Pittsburgh\, PA 15213
DESCRIPTION:Decimeter-accuracy Surface Topography from Commercial Satellit
 e Stereo Imagery: Method Advancements and Earth Science Applications\n\nP
 resented by Dr. Shashank Bhushan | Assistant Research Scientist at the Un
 iversity of Maryland Earth System Science Interdisciplinary Center and NA
 SA Goddard Space Flight Center's Biospheric Sciences Laboratory\n\nTalk A
 bstract:\n\nVery high-resolution (VHR) satellite topography derived from 
 commercial electro-optical line-scan imagery enables detection of subtle 
 Earth surface changes at high spatio-temporal resolution. In this talk\, 
 I discuss the development of satellite photogrammetry workflows to measur
 e seasonal glacier dynamics in Nepal Himalaya and volcanic flows in Mauna
  Loa\, Hawaii\, demonstrating both the scientific promise and practical l
 imitations of current methods. I show how unmodeled satellite attitude va
 riations (jitter) introduce systematic small-scale elevation artifacts (>
 50 cm) that preclude small-magnitude topographic change detection\, and p
 resent new correction algorithms that resolve these errors. The workflow 
 utilizes automatic ground control from globally available reference eleva
 tion measurements derived from sparse profiling lidar (NASA's ICESat-2) a
 nd/or low-resolution radar-derived Digital Elevation Model composites (Co
 pernicus GLO-30) to iteratively refine sensor model pose during line-scan
  image collection. The DEMs obtained from updated sensor models achieve d
 ecimeter elevation accuracy (<15 cm) over low-relief sites\, w\n\nhttp://
 next-to-u.app/events/bff8f3d8-773c-42a7-8066-dd77307584e2
URL:http://next-to-u.app/events/bff8f3d8-773c-42a7-8066-dd77307584e2
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