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Linear Structural Relations Modeling for Complex Land Cover and Land Use Change

Award Information

National Aeronautics and Space Administration
Award ID:
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
International Association of Virtual Org
DBA, IAVO Research and Scientific 345 West Main St., Ste. 201 Durham, NC -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2002
Title: Linear Structural Relations Modeling for Complex Land Cover and Land Use Change
Agency: NASA
Contract: NAS13-02008
Award Amount: $68,263.00


NASA is seeking improved capabilities that enhance human and machine interaction in support of remote sensing applications. Particular interest involves collaborative operations in dynamic user environments.We propose to research and develop linear structural equation modeling (i.e., LISREL) methods for purposes of fundamentally advancing land cover and land use change (LCLUC) applications. We plan to use LISREL to manage complex latent and manifest Earth measurement variables that affect directly and indirectly human-nature dynamics. Remotely sensed imagery provides vital information for use in constructing these models, and as such, these data capture many of the primary indicators for exogenous and endogenous reciprocal causal relations.We believe LISREL modeling offers a radically different approach to remote sensing science. Among others, it is capable of utilizing the wealth of variables typically obtained when multiple researchers work jointly on complimenting components of LCLUC investigation. Furthermore, by examining complex reciprocal causation -- instead of just categorical summary -- LISREL focuses on true human and natural combinations concerning land-management conversion, intensification, and degradation. There are no known LCLUC solutions using LISREL, yet the global scientific community continues searching for fundamental breakthroughs, and this bodes well for commercialization of an eventual software solution during Phase II.

Principal Investigator:

Matt Heric
Principal Investigator

Business Contact:

Matt Heric
Business Official
Small Business Information at Submission:

IAVO Research and Scientific
1010 Gloria Ave. Durham, NC 27701

EIN/Tax ID: 541864643
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No