NASA SBIR 2014 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 14-1 S5.03-8673
SUBTOPIC TITLE: Algorithms and Tools for Science Data Processing, Discovery and Analysis, in State-of-the-Art Data Environments
PROPOSAL TITLE: A Continuously Updated, Global Land Classification Map

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
GeoVisual Technologies, Inc.
1525 Spruce Street, Suite 200
Boulder, CO 80302 - 4257
(303) 955-1575

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Jeffrey Orrey
jeffo@geovisual-analytics.com
1525 Spruce St., Suite 200
Boulder, CO 80302 - 4257
(303) 955-1575

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Jeffrey Orrey
jeffo@geovisual-analytics.com
1525 Spruce St., Suite 200
Boulder, CO 80302 - 4257
(303) 955-1575

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 2
End: 4

Technology Available (TAV) Subtopics
Algorithms and Tools for Science Data Processing, Discovery and Analysis, in State-of-the-Art Data Environments is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?
No

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
We propose to demonstrate a fully automatic capability for generating a global, high resolution (30 m) land classification map, with continuous updates from satellite imagery and crowdsourced ground truth, and an annual publication cycle. The resulting map will be fully extensible, supporting many layers including Anderson type land cover categories, specific crop types in agricultural areas, and even continuous variables such as crop yield estimates. Our methodology involves fusing imagery with existing raster and vector ground truth data sets, applying a novel classification technique to enable vastly improved spatial/temporal model portability, and continuous updating as additional imagery and crowdsourced ground truth data becomes available. By employing a systematic crowdsourcing strategy that is responsive to local and regional market incentives, the map's accuracy will improve most over time in those geographic regions where higher accuracy is most needed. The resulting map product will find immediate use for a multitude of applications in agriculture, commodities trading, ecological forecasting, wildlife conservation and climate change studies. We foresee monetizing the continuous production effort by obtaining stakeholder funding to make a standard product freely available to the global public, but we also intend to develop higher precision, commercial products for lucrative applications such as precision agriculture in targeted locations worldwide.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The proposed technology, if successful, could add tremendous value to NASA's Landsat mission, as well as to MODIS and TRMM and new environmental systems – NPP and NPOESS. It will also directly relate to efforts of the Agriculture DISC program.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Our product will likely be most attractive commercially for precision agriculture. Using our approach, it will be possible to determine how much of a particular crop type is planted globally each year and to continuously update harvest estimates throughout the year. This will find direct application for commodity trading firms, as well as commercial enterprises that seek to hedge commodity purchases. Other applications include evaluation of crop health (stress by insufficient water, insect infestations, etc.), so our work should contribute to developing analytical models for pesticide/fertilizer/water application and efficacy. Farmers globally can submit crowd sourced point information (crop type, health, etc.), and our system will incorporate weather data (precipitation, temperature, etc.). Hence there will by myriad applications in the agricultural sector.

TECHNOLOGY TAXONOMY MAPPING (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.)
Data Fusion
Data Modeling (see also Testing & Evaluation)
Data Processing
Image Analysis
Image Processing
Knowledge Management

Form Generated on 04-23-14 17:37