Center for Research in Space Technologies (CREST)

Spatial Sciences

The USC spatial sciences research program is a multidisciplinary approach to scientific and engineering challenges using geospatial technologies, such as Geographic Information Systems, Global Positioning Systems, and Remotely Sensed Imagery. We develop the principles and methods to validate, interpret, and act on spatially registered data. 

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A diagram that shows the GeoTxt architecture and components, both client and server side.
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A visual representation of how groundwater level is assessed from airborne LIDAR devices, and used to predict levels in the future.
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Photos and algorithmic heat maps produced for varying biomes, including the desert, boreal forest, grasslands and snow.
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Wang, R., Gamon, J. A., Moore, R., Zygielbaum, A. I., Arkebauer, T. J., Perk, R., Leavitt, B., Cogliati, S., Wardlow, B., Qi, Y., “Errors associated with atmospheric correction methods for airborne imaging spectroscopy: Implications for vegetation indices and plant traits,” Remote Sensing of Environment, 2020.

Ter-Ghazaryan, D., “Virtual DSS: Mapping Locations From Unstructured Data With ARCGIS LocateXT,” Digital Scholar Studio Resources, 2021.

Shrestha, N., Mittelstet, A.R., Young, A.R., Gilmore, T.E., Gosselin, D.C., Qi, Y., Zeyrek, C., “Groundwater level assessment and prediction in the Nebraska Sand Hills using LIDAR-derived lake water level,” Journal of Hydrology 600, 2021.

Cawse-Nicholson, K., et al., “A compilation of surface imaging algorithms: NASA’s Surface Biology and Geology Designated Observable,” Remote Sensing of Environment, 2021.

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