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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 |
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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