Data quality is of growing importance in remote sensing, due to the growing relevance that remote sensing data have in planning and operational decision of public bodies and private firms, and the huge amount of digital services (or apps) that exploit RS data. The most important data and product quality dimensions are: accuracy, lineage, structural consistency, semantic consistency, completeness, consistency, currency, timeliness, identifiability.
Explain how a lack of knowledge about data quality limits the data value
Planned