Geoprocessing, Workflows, and Provenance

Integrated remote sensing and GIS-assisted problem solving now supports a remarkable array of human activities (e.g., food and agricultural security, public health, critical infrastructure, weather and climate adaptation, forest management, heritage preservation, urban and regional planning, etc.), and is being configured in a great variety of technical means. Given the sheer quantity of innovations reported in journals and books (including Remote Sensing Handbook), any one expert may only be keenly aware of a fraction of the detailed remote sensing and related geospatial methods available to address a given problem. Regardless of the remote sensing application under study or review, some reliance (whether implied or reported) is always made upon the geoprocesses and workflows associated with any artifacts produced. In the context of a geospatial decision support artifact (e.g., a map of predicted crop yield in kg/ha), a record of the specific geoprocesses may be termed geospatial provenance (or lineage; see 13.1.1). Geoprocessing, Workflows, and Provenance explores how remote sensing-assisted geoprocessing and related GIS workflows have been or may be combined with digital provenance information to augment scientific reproducibility and replicability (R&R), comparison and discovery, privacy and confidentiality, trust, stakeholder engagement, or to otherwise improve remote sensing-assisted decisions.