NASA SBIR 2005 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER:05 S7.01-8850
SUBTOPIC TITLE:Geospatial Data Analysis Processing and Visualization Technologies
PROPOSAL TITLE:LiDAR and Hyperspectral Fusion for Landslide Hazard Detection

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
HyPerspectives Inc
2048 Analysis Drive, Suite C
Bozeman ,MT 59718 - 6829
(406) 556 - 9880

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Robert   Crabtree
crabtree@hyperspectives.net
2048 Analysis Drive, Suite C
Bozeman, MT  59718 -6829
(406) 556 - 9880

TECHNICAL ABSTRACT (LIMIT 200 WORDS)
HyPerspectives, Inc. and its researchers propose to use remote sensing technologies to answer specific scientific questions for researchers and decision-makers in the natural hazards community. We will employ both current and innovative data fusion techniques to fill key deficiency gaps limiting progress in the natural hazards discipline. By fusing high-resolution hyperspectral imagery and LiDAR (Light Detection And Ranging) data sets from the 2003 Yellowstone Optical and SAR Ground Imaging (YOGI) data collect, we will substantially improve methodologies for natural hazard decision support systems. This imagery fusion is considered innovative because it will further refine the identification and mapping of past events, such as landslides, while also providing quicker and simpler processes for forecasting and mitigating future hazards. Furthermore, the algorithms developed in Phase 2 will satisfy the needs of decision makers by including tools for fault detection, deformation, and geothermal monitoring. The proposed study is directly relevant to the NASA SBIR S7.01 solicitation because we will create automated tools utilizing innovative algorithms to speed up the processing of data that has known relevance to natural hazard planners and researchers. To achieve this, we will build on successful landslide detection techniques and incorporate new algorithms previously developed by HyPerspectives scientists.

POTENTIAL NASA COMMERCIAL APPLICATIONS (LIMIT 150 WORDS)
There are many potential NASA applications for this SBIR. NASA scientists will be able to use ELF-Surface, an innovative tool for LiDAR and hyperspectral image fusion, hazard detection, and surface feature mapping. This tool will be usable with all LiDAR datasets including EAARL for coastal studies and space-borne platforms for remote sensing applications on Earth and other planetary bodies.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (LIMIT 150 WORDS)
The non-NASA commercial application for this SBIR is a GUI module (ELF-Surface) for LiDAR and hyperspectral image fusion for the high-tech and causal user. This user-friendly GUI application will provide users with consistent, reproducible methodologies to serve the growing need among FEMA, USGS, State DOT, Utility Corporations, Federal, State, and local land managers and others interested in precise identification and reconstruction of surface features or decision-makers dealing with natural hazards.

NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.

TECHNOLOGY TAXONOMY MAPPING
Database Development and Interfacing
Expert Systems
Microwave/Submillimeter
Optical
Software Development Environments


Form Printed on 09-19-05 13:12