The document discusses improving spatial data quality through data conflation and assessing the accuracy of interactive data quality interpretation for remote sensing data. It describes using data usability as a new quality measure that is interactively interpreted based on technical errors, unusable image segments, clouds, and other factors. The document also outlines equations and graphs for assessing data quality, the evaluation of subjectivity, comparing interpretations to standard deviations and metadata, and generating quick-look products with cloud masks for monitoring processing status.