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

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NAS13-02008
Agency Tracking Number: 012145
Amount: $68,263.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1010 Gloria Ave., Durham, NC, 27701
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Matt Heric
 Principal Investigator
 (919) 688-8212
 mheric@mindspring.com
Business Contact
 Matt Heric
Title: Business Official
Phone: (919) 688-8212
Email: mheric@mindspring.com
Research Institution
N/A
Abstract
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.

* Information listed above is at the time of submission. *

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