NASA REASoN PROJECT Research, Education and Applications Solution Network

Dr. John Jensen's Project

II. Development of A Remote Sensing-assisted Hazardous Waste Site Monitoring Decision Support System (led by Dr. John Jensen and Dr. John Gladden)

This research is creating a Remote Sensing-assisted Hazardous Waste Site Monitoring Decision Support System that interfaces with other decision support systems at the Westinghouse Savannah River Site, Department of Energy, and Environmental Protection Agency. In the event of a hazardous waste site disaster, the SDSS utilizes several of NASA's satellite assets, including: MODIS, ASTER, MISR, Landsat 5, Landsat 7, and non-NASA sensors (e.g., NOAA AVHRR, GOES). In addition, however, the SDSS incorporates very large-scale stereoscopic aerial photography and LIDAR data to derive accurate digital elevation models to identify subsidence (one of the major indications of hazardous waste site failure). High spatial resolution airborne hyperspectral data is also very useful for identifying dramatic changes in biomass which highlight potential compromise of the hazardous waste site. The remote sensing-assisted SDSS is designed to a) monitor the hazardous waste site so that compromise can be identified as soon as it happens, b) make recommendations about additional remote sensor data (and other data) that are required as soon as a compromise is detected, c) predict the spatial influence of the spill in order to protect flora, fauna, and people from being negatively impacted by the event (this may require evacuation), and d) monitor the restoration of clean-up efforts. This SDSS interfaces directly with the Remote Sensing Hazard Guidance System described in Dr. Hodgson's project.

Remote Sensing-Assisted Hazardous Waste Site Decision Support System

1. Complete system
	a Database Management Expert System
		i.  Database architecture ii. Metadata
	b. Anomaly Change Detection Expert System
		i. Neighborhood Correlation Image Analysis
			1. Vegetation using optical remote sensing 2. Subsidence using photogrammetry/LIDAR remote sensing
		ii. Sensitivity Analysis Subsystem
			1. Verification and validation of anomaly
	c. Response Expert system
		i. Population Impact Expert System ii. Evacuation Expert System
	d. Mitigation Expert System
		i. Repair/remediation Expert System