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SUMMARY:Taking the Long View: Enhancing Learning On Multi-Temporal\, High-
 Resolution\, and Disparate Remote Sensing Data for Measuring the Spread of
  Buildings - Jay Taneja - University of Massachusetts\, Amherst\, USA
DTSTART:20231020T120000Z
DTEND:20231020T130000Z
UID:TALK205156@talks.cam.ac.uk
CONTACT:114742
DESCRIPTION:The progress made in computer vision and satellite technology 
 has opened up new possibilities for observing societies and infrastructure
 . Powered by a lengthening historical record of high-resolution satellite 
 imagery and an ever-growing set of labels for training machine learning mo
 dels\, it is becoming feasible to investigate a decade of changes in built
  infrastructure and landscapes. These analyses can assist decision-makers 
 with valuable insights into population shifts\, economic trends\, and infr
 astructure performance. Nevertheless\, challenges inherent with this kind 
 of imagery — such as varying image quality\, imbalances in data collecti
 on between urban and rural areas\, high costs\, and the absence of image m
 etadata — can impede the use and efficacy of these methods.\n\nJay Tanej
 a is an Assistant Professor in the Manning College of Information and Comp
 uter Sciences at the University of Massachusetts\, Amherst. As the lead of
  the STIMA Lab\, he and his team develop and study applications of sensing
  and communications technology on the measurement and planning of societal
 -scale infrastructure systems in developing regions. He also leads the e-G
 UIDE Initiative\, a multi-university consortium that collaborates with par
 tners across sub-Saharan Africa with an aim to transform the approaches us
 ed for planning and operations of electricity infrastructure in the region
 . Prior to joining UMass\, he was a Research Scientist leading the Energy 
 team at the IBM Research - Africa lab in Nairobi\, Kenya\, from 2013 to 20
 16. His website is www.jaytaneja.com.
LOCATION:FW 11\, William Gates Building. Zoom link: https://cl-cam-ac-uk.z
 oom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&amp\;from=addon 
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