San Diego 2017 9-inch imagery

The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.SD2017_9inch Metadata

Data and Resources

Additional Info

Field	Value
Source	https://sdgis-sandag.opendata.arcgis.com/datasets/a453bc5a24c247e1aec2cceedd28dfb0
Last Updated	February 28, 2024, 17:12 (UTC)
Created	February 28, 2024, 17:12 (UTC)
dcat_issued	2018-06-21T00:42:55.000Z
dcat_modified	2018-07-09T23:07:03.000Z
dcat_publisher_name	San Diego Association of Governments
encoding	utf8
guid	https://sdgis-sandag.opendata.arcgis.com/datasets/a453bc5a24c247e1aec2cceedd28dfb0
harvest_object_id	5085f00e-5818-4be2-a2e4-ca9e808c119f
harvest_source_id	a2637971-af12-457f-ae4a-831d2202a539
harvest_source_title	WIFIRE Commons
language
spatial	{"type": "Polygon", "coordinates": [[[-117.5842, 32.5292], [-117.5842, 33.5158], [-116.0748, 33.5158], [-116.0748, 32.5292], [-117.5842, 32.5292]]]}