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This dataset was first added to LINZ Data Service on 14 Nov 2016.
Canterbury 0.3m Rural Aerial Photos Index Tiles (2015-16)
Toitū Te Whenua Land Information New Zealand
2016
Index Tiles ONLY, for actual orthophotos see layer [Canterbury 0.3m Rural Aerial Photos (2015-16)](http://data.linz.govt.nz/layer/3519)
Orthophotography for the Canterbury region taken in the flying season (summer period) 2015-16.
Coverage encompassed the Waimakariri, Chrischurch City, and Selwyn Council areas, as well as the high counrty areas of Mackenzie, Timaru, and Ashburton Council areas.
Imagery was captured for the ‘Environment Canterbury' by AAM NZ Limited, 6 Ossian St, NAPIER, New Zealand.
Data comprises:
1,893 ortho-rectified RGB GeoTIFF images in NZTM projection, tiled into the LINZ Standard 1:5,000 tile layout.
Tile layout in NZTM projection containing relevant information.
The supplied imagery is in terms of New Zealand Transverse Mercator (NZTM) map projection. The products are tiled into NZTopo50 1:5,000 tiles.
Please refer to the supplied tile layout shape file for specific details, naming conventions, etc.
Imagery supplied as 30cm pixel resolution (0.3m GSD), 3-band (RGB) uncompressed GeoTIFF.
The final spatial accuracy is ±2m @ 90% confidence level in clear open spaces.
Project
AAM was engaged by Canterbury Regional Council to undertake rural specification aerial
photography and create orthophotography over ~14,400 sq km of Canterbury Region in the
2015-16 flying season.
The aerial photography was acquired between 16 November 2015 and 10 April 2016.
Data
Imagery products supplied included 30 cm gsd, RGB orthophotos in NZTopo50 1:5,000 tiles. Vector GIS layers – project extent and tile layout.
This dataset was produced to meet the project spatial accuracy specification of 2m (90%
confidence in clear, open areas). This dataset is supplied on NZTM map projection and
Lyttelton 1937 vertical datum.
-43.9291134491 169.95899131 -42.7237043606 173.149254189
https://data.linz.govt.nz/layer/53517-canterbury-03m-rural-aerial-photos-index-tiles-2015-2016/
grid
eng
imageryBaseMapsEarthCover