A companion dataset to annual 'Tasmania Landsat Mosaic' showing the provenance (date) of each pixel within that layer.

Each pixel within the annual 'Tasmania Landsat Mosaic' dataset was assessed to determine the source image (Landsat scene) that was used to populate its value. Details of the source image name and the date of acquisition for that image were then transferred to this output GeoTIFF file. Allowable dates for the annual Tasmania Landsat Mosaic are restricted to November and April each year. This dataset - when used in conjunction with the corresponding multiband Landsat mosaic - allows the user to determine the acquisition date for each pixel within the Tasmania mosaic. All effort is made to source imagery data from a single primary scene, however multiple scenes are typically needed to 'infill' areas occluded by cloud, cloud shadow, fog etc. within the primary and subsequent scenes.

Positional Accuracy: All Landsat imagery used in the production of this dataset has been geometrically corrected by the United States Geological Survey (USGS). The USGS indicates that locational error for Landsat 5-8 is typically below a single pixel (30m x 30m) (https://landsat.usgs.gov/geometry). The user should note that King Island typically lies in zone 54 for the Map Grid of Australia projection but has been included in zone 55 (as per mainland Tasmania) for ease of use and distribution of the dataset. Attribute Accuracy: Digital numbers represent an arbitrary Landsat scene and date combination. The attribute 'NAME' refers to the name of the raster file used to populate that pixel, and the the attribute 'DATE_STR' refers to the date of acquisition for the pixel in the form yyymmdd (string format). File names used in the 'NAME' attribute follow the QVF naming convention established by the Queensland Remote Sensing Centre and outlined in Danaher and Flood (2013). References Danaher, T. & Flood, N. A File Naming Convention for a Large Satellite Imagery Archive: QVF - a case study, Figshare 2013 (https://doi.org/10.6084/m9.figshare.875298.v1) Credit Landsat 7 ETM+ and Landsat 8 OLI images acquired courtesy of U.S. Geological Survey Image processing and correction courtesy of Queensland Remote Sensing Centre - Department of Science, Information Technology and Innovation and the Joint Remote Sensing Research Program.