Table 14. Technology Categories for the Capability, Multi-scale Spatial and Temporal Calibration/Validation Support Uncertainty Database of Ancillary Multi-Sensor Data In-Situ Sensor Technology Category Quantification Information Fusion Networks Methods Data Collection and Data and Information Data and Information Data and Information Production Handling, Technology Area Production Production System Management Mosaicing, Data Estimating Probability Assimilation model as SensorKit System, Technology Alternatives Web Services and workflows Distributions Technique underlying driver), SoilSCAPE Aggregation Technology to quantify Weather, temperature and other environmental Technology to fuse data Provides a trusted ground error in instrument measurement data requiring resolution of products (and perform source for reducing measurements. temporal and spatial data (data access). georectification) across uncertainty in data Description Experiment design to Includes infrastructure to establish the proper sensors within a known products improve validation. database technology (standards for collation, global error bound search, access) for Cal/Val operations. TRL Assessment Entry TRL in 2010 4 5 4 4 Intermediate TRL 6 7 6 7 Intermediate Date 2015 2014 2015 2015 Intermediate Success Criteria Exit TRL 9 9 9 9 Exit Date 2022 2022 2022 2022 Error analysis results are Environmental parameter data easily Fused data products are Easily deployable in-situ quantitative and trusted accessible and integrated into Cal/Val analysis accurate within trusted error sensor-web capability Exit Success Criteria system analysis metrics available and tailored to observational assets
Table 14. Technology Categories for the Capability, Multi-scale Spatial and Temporal Calibration/Validation Support Technology Category Uncertainty Quantification Methods Database of Ancillary Information Multi-Sensor Data Fusion In-Situ Sensor Networks Technology Area Data and Information Production Data and Information Production Data and Information Production Data Collection and Handling, System Management Technology Alternatives Estimating Probability Distributions Technique Web Services and workflows Mosaicing, Data Assimilation model as underlying driver), Aggregation SensorKit System, SoilSCAPE Description Technology to quantify error in instrument measurements. Experiment design to improve validation. Weather, temperature and other environmental measurement data requiring resolution of temporal and spatial data (data access). Includes infrastructure to establish the proper database technology (standards for collation, search, access) for Cal/Val operations. Technology to fuse data products (and perform georectification) across sensors within a known global error bound Provides a trusted ground source for reducing uncertainty in data products TRL Assessment Entry TRL in 2010 4 5 4 4 Intermediate TRL 6 7 6 7 Intermediate Date 2015 2014 2015 2015 Intermediate Success Criteria Exit TRL 9 9 9 9 Exit Date 2022 2022 2022 2022 Exit Success Criteria Error analysis results are quantitative and trusted Environmental parameter data easily accessible and integrated into Cal/Val analysis system Fused data products are accurate within trusted error analysis metrics Easily deployable in-situ sensor-web capability available and tailored to observational assets
2010_AIST%20Workshop_Final_Report.docx