Completed Projects
HSRH, Exposure Assessment Using Hyperspatial Imagery
Geoffrey M. Jacquez, BioMedware, Inc., PI
This work was supported by an SBIR phase I grant for $102,620 from the National Institute of Environmental Health Sciences (R43-ES010749).
Research Abstract
This project is developing methods and software for environmental exposure assessment using hyperspatial, hyperspectral technology that quantifies the environment at unprecedented spectral and spatial resolution. This quantum leap in resolution has enormous potential for improving our ability to document, monitor and model environmental exposures.
The research will:
- Conduct a requirements analysis to identify the optimal spatial methods and functionality to incorporate in the software.
- Develop and test a software prototype to evaluate feasibility of the proposed approaches.
- Build, test and implement a complete software package based on results of the prototype.
- Apply the software and methods to demonstrate the approach and its unique benefits for environmental exposure assessment.
The phase 1 research addressed the first two aims; aims three and four will be accomplished in Phase 2. The technologic and scientific innovations from this project are expected to revolutionize our ability to answer the what, where, when questions that are the key problems underlying environmental exposure assessment.
Currently used multispectral imagery resolve fewer than 10 bands (wavelength intervals) at spatial resolutions of 10-30m. The new generation of hyperspectral, hyperspatial sensors will resolve 200 or more bands at pixel sizes from 1 to 10 square meters across the entire globe. There currently are no software packages that analyze these rich, high resolution, multivariate data for purposes of exposure assessment. This proposal addresses this commercial opportunity.
Section of HSRH remotely sensed imagery from
Yellowstone National Park
Software
BioMedware created prototype software and online help that was submitted along with the Phase II application. The final software product and documents will be finished in phase II of this project. Once completed, this product will be available from our commercialization partner, TerraSeer.
Conferences
BioMedware hosted a conference in August of 2000 for the planning and review of the HSRH project.
Publications
Papers from the HSRH project conference were collected in a special issue of the Journal of Geographical Systems (view Table of Contents).
Aspinall, R. 2002. A geographic information science perspective on hyperspectral remote sensing. J. Geograph Syst 4: 127-140.
Aspinall, R.J., W.A. Marcus, J.W. Boardman, 2002. Considerations in collecting, processing, and analysing high spatial resolution hyperspectral data for environmental investigations. J. Geograph Syst 4: 15-29.
Goovaerts, P. 2002. Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data. J. Geograph Syst 4: 99-111.
Griffith, D.A. 2002 Modeling spatial dependence in high spatial resolution hyperspectral data sets J. Geograph Syst 4: 43-51.
Jacquez, G.M., W.A. Marcus, R.J. Aspinall, D.A. Greiling. 2002. Exposure assessment using high spatial resolution hyperspectral (HSRH) imagery. J. Geograph Syst 4: 1-14.
Lagona, F. 2002. Adjacency selection in Markov Random Fields for high spatial resolution hyperspectral data. J. Geograph Syst 4: 53-68.
Marcus, W.A. 2002. Mapping of stream microhabitats with high spatial resolution hyperspectral imagery. J. Geograph Syst 4: 113-126
Maruca, S.L. and G.M. Jacquez. 2002. Area-based tests for association between spatial patterns. J. Geograph Syst 4: 69-83.
Rogerson, P.A. 2002. Change detection thresholds for remotely sensed images. J. Geograph Syst 4: 85-97
Wilson, M.L. 2002. Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts. J. Geograph Syst 4: 31 - 42.
Presentations
Jacquez, G., P. Goovaerts, and A. Marcus. August, 2005. LISA cluster analysis and geostatistical filtering of high spatial resolution hyperspectral imagery for the detection of disturbed soils. ESA-INTECOL Joint Meeting in Montreal, Canada