SBIR/STTR Research Award
Operationalizing SAR for Agricultural Decision Support
Award amount
$124,611Program and phase
SBIR · Phase IAward year
2017Award details
- Awarding agency
- National Aeronautics and Space Administration
- Branch
- Not reported
- Recipient company
- APPLIED GEOSOLUTIONS LLC
- Proposal award date
- 2017-06-09
- Contract end date
- 2017-12-08
- UEI
- JJDTXUBQGSN5
- Solicitation number
- Not reported
- Topic code
- S5.02
Research abstract
The innovation of Synthetic Aperture Radar for AGriculture (SARAG) is the operationalization and true integration of satellite radar remote sensing for agricultural monitoring and assessment. While many SAR sensors have been utilized for crop mapping (i.e., ERS-1, ENVISAT ASAR, TerraSAR-X, Radarsat, ALOS-1), no options for cost efficient, systematic, and continental scale data have existed until now. In this new Phase 1 SBIR we are expanding upon current research to integrate SAR products and workflows into global food security Decision Support Tools and expand ecosystem services markets. This effort will support NASA missions, prep for NISAR, and democratize SAR into existing DSTs.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- CHABMAP (Cyanobacterial Harmful Algal Bloom Mapping and Analyses Platform) technology automates the quantification of toxic CyanoHABs exposure epochs for any waterbody.
- Operationalizing multiscale SAR metrics for rapid forest disturbance assessment
- Lake Cyanobacterial Harmful Algal Bloom Mapping and Analysis Platform (CHAB-MAP)
- A Geospatial Decision Support System Toolkit
- CyanoMap: Mapping inland lake quality and Amyotrophic lateral sclerosis risk fact
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- An Interoperable Decision Support System for Flood Disaster Response Assistance
- ModelLab: A Cloud-Based Platform to Support Advanced Geospatial Modeling of Earth Observation Data
- Cloud-Based Open Data Environment and Flow-based Aggregation Science Tool (CODEFAST)
- ModelLab: A Cloud-Based Platform to Support Advanced Geospatial Modeling of Earth Observation Data
Research funding history
21 SBIR/STTR records share this UEI (2004–2020). Reported award amounts total $6,650,260. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: National Aeronautics and Space Administration, Department of Agriculture, Department of Health and Human Services, National Science Foundation