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Challenges in Analysis of Remotely Sensed Data for Environmental Applications
Applied Math| Speaker: | Susan Ustin, Center for Spatial Technologies and Remote Sensing, UC Davis |
| Location: | 693 Kerr |
| Start time: | Fri, May 3 2002, 4:10PM |
Description
There are a large number of remote sensing instruments currently available
for monitoring and analysis of environmental conditions from airborne and
spaceborne platforms. The trend of the past decade has been to develop
instruments that measure an increasingly large number of spectral bands at
increasingly high spatial resolution creating data streams of Gb to Tb
dimensions. Virtually all parts of the electromagnetic spectrum, from UV
to radar wavelengths can now be measured with analysis and interpretations
shifting from completely empirical to physically based models. These data
present many challenges for developing appropriate analysis tools since
instrument, atmosphere, and ground conditions all affect instantaneous
measurements and because seasonal growth cycles are constantly changing
the appearance and abundance of vegetation cover over time. I will
present examples of several environmental applications using high data
rate instruments and our current approaches to data analysis. Improved
methods are needed to mine data more efficiently and effectively,
visualize complex data, improve separability of processes occurring at
multiple space and time scales.
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