Return to search results
💡 Advanced Search Tip
Search by organization or tag to find related datasets
Unprocessed aerial imagery from 26 June 2017 coastal survey of Central California.
This is a set of 5069 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Big Sur with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.
Complete Metadata
| @id | http://datainventory.doi.gov/id/dataset/3946ab0e51ce2bff64c04974a189de50 |
|---|---|
| bureauCode |
[ "010:12" ] |
| identifier | USGS:386eeacd-b14d-4b61-acb6-3a7f6e1551af |
| spatial | -122.527183,35.752973,-121.328777,37.780438 |
| theme |
[ "geospatial" ] |
