ERSC 3P07 Lecture 3: Data quality assessment, satellites and sensors and data preprocessing
26 Feb 2016
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Document Summary
Lecture 3: data quality assessment, satellites and sensors and data preprocessing. The compact airborne spectrographic imager (casi), offers up to 288 bands with variable spatial, spectral, and temporal resolutions. Smallest change in intensity level detected by a device. 8-bit data permits 28=256 digital values (from 0 to 255) Related to a satellite"s orbit, revisit period, and sensor capabilities. Importance: obstructive cloud cover, monitoring short-lived events (e. g. , volcanic eruption, multi-temporal monitoring, feature distinction. Increasingly, users can get access to free remote-sensing datasets. The challenge is to determine which datasets are appropriate for a particular use. To date, there is no consistent approach for characterizing data quality. Assessing data quality is especially important when acquiring (purchasing) remote-sensing data that have been preprocessed for you. Quality is perceived differently by data providers and data users. Quality issues can range from poor quality metadata to pixel-level quality issues.
