Abstract
Data harmonization in remote sensing enhances the quality and utility of image data allowing unified big data to emerge from multiple sensors having different spatial and spectral properties. It works toward creating a single source of truth about targets of interest. A path to implementation will allow civil and commercial sensors to work together improving spatial and temporal coverage using current assets and then merge seamlessly with future sensors and constellations. Differences in design and function of various optical remote-sensing systems can be minimized by imaging reference ground sites containing targets designed specifically for radiometric, spectroscopic and spatial performance assessment among disparate sensors. The process allows difference in characteristics to be effectively identified revealing information for improved data integration. In this presentation we describe applications toward harmonization using an affordable, autonomous, and responsive ground site target configuration and operation for supporting vicarious calibration and sensor performance assessment of Earth-imaging satellites and constellations. The Specular Array Calibration (SPARC) method, is an adaptable in-flight calibration system that uses ground-based convex mirrors to create small reference targets capturing radiometric, spatial, spectral, geometric, and temporal characteristics of individual sensors for transforming distinct sensors and constellation into a harmonious Earth-monitoring system. The approach minimizes inaccuracies and inconstancies between data sources by equalizing radiometric content through a common traceability path and characterizing spatial effects impacting data interoperability.
Improving Spatial and Temporal Coverage in Earth Observations through Inter-Sensor Data Harmonization
Data harmonization in remote sensing enhances the quality and utility of image data allowing unified big data to emerge from multiple sensors having different spatial and spectral properties. It works toward creating a single source of truth about targets of interest. A path to implementation will allow civil and commercial sensors to work together improving spatial and temporal coverage using current assets and then merge seamlessly with future sensors and constellations. Differences in design and function of various optical remote-sensing systems can be minimized by imaging reference ground sites containing targets designed specifically for radiometric, spectroscopic and spatial performance assessment among disparate sensors. The process allows difference in characteristics to be effectively identified revealing information for improved data integration. In this presentation we describe applications toward harmonization using an affordable, autonomous, and responsive ground site target configuration and operation for supporting vicarious calibration and sensor performance assessment of Earth-imaging satellites and constellations. The Specular Array Calibration (SPARC) method, is an adaptable in-flight calibration system that uses ground-based convex mirrors to create small reference targets capturing radiometric, spatial, spectral, geometric, and temporal characteristics of individual sensors for transforming distinct sensors and constellation into a harmonious Earth-monitoring system. The approach minimizes inaccuracies and inconstancies between data sources by equalizing radiometric content through a common traceability path and characterizing spatial effects impacting data interoperability.