Imagery CaptureSensor - Phase One iXM-RS280FFocal Length - 90 mmImagery Type - RGBAcquisition Date(s) - 2021-07-18Flying Height (above MSL) - 4714 feetNumber of Images - 70Capture Methodology - Primary Runs - 5, Secondary/Tie Runs - 0Forward / Side Overlap (%) - 70 / 40Imagery Capture Notes - Capture completed without issues. All SISP capture requirements met.OrthosmosaicA digital orthophoto is a raster image of remotely sensed data in which displacement in the image due to sensor orientation and terrain relief have been corrected (orthorectification). Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map and can be used as a backdrop layer in conjunction with other spatial information.
Spatial Resolution - 6 cmSpatial Accuracy - 3 pixels @ 68% confidence (Sigma 1)Spatial Accuracy Notes - Accuracy visually checked with Cadastral data.Map Projection - Web Mercator Auxiliary SphereRectification Surface - Merged LIDAR and Photogrammetry Derived DTM by Outline Global 5m LIDAR DTM derived as part of the National Elevation Data Framework and Coastal and Urban DEM Program and sourced from https://elevation.fsdf.org.au/. The statedFundamental Vertical Accuracy (FVA) is +- 30cm @95% confidence interval and Fundamental Horizontal Accuracy (FHA) is +-80cm @95% confidence interval. Outline Global have not verified the stated vertical and horizontal accuracy of the 5m LIDAR DTM.Description of Rectification - Rectification performed using the results of bundle block adjustment and merged LIDAR DTM and DTM derived from the same aero-triangulation. Individual orthophotos were generated with the outer 10% to 15% of the image removed. This ensures that the auto-generated cutlines avoid the extreme edges of images where building or tree lean and overall seamlessness is likely to be higher. A seamless orthophoto mosaic from the individual orthophotos was produced utilising Photomod-Geomosaic. The software auto generates seamlines using a detailed Voronoi diagram algorithm that typically avoids placing cutlines in areas of large contrast (building roofs, mine pits etc.). The cutline locations are manually reviewed by an operator and where necessary they are adjusted to avoid tall objects, remove solar flare on water bodies and improve overall seamlessness.Tile Size / Grid - 1km2
Limitations of DataThis dataset contains imagery which has been aero-triangulated, spatially adjusted and rectified using a digital ground surface model. The stated spatial accuracy of this product is relevant for features present at ground level only. Elevated structures (roof-tops, tree canopies, etc) will be affected by relief displacement and cannot be reliably measured from this product. Spatial accuracy is reduced in areas of dense vegetation.
