Description
Dataset description: Raw images from photogrammetric survey.
Object: Parking place near by Gdynia Container Terminal - night artificial photos
Location: Gdynia, Pomerania, Poland
Drone type: DJI Mavic Pro 2
Flight plan: Single Grid
Target Product: Orthophoto
Date: 14.10.2020
Direct georeferencing: yes
Metadata data: yes/GPS
GCP: Yes - Description and position included
GCP Quality: GNSS RTK
Camera Name: Hasselblad L1D-20c
Model type: Perspective
Image dimensions: 5472x3648 pixels
Sensor size: 1 ''
Number of photos: 128
Example photo
Camera positions
GCPs Location
Dataset file
SI Dataset - Gdynia Container MP2 NIGHT.zip
1.3 GB,
S3 ETag
ae689f8dec03ab7f08c6092cddae5f85-3,
downloads: 74
The file hash is calculated from the formula
Example script for calculation:
https://github.com/antespi/s3md5
hexmd5(md5(part1)+md5(part2)+...)-{parts_count}
where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
open in new tabCC BY-NCNon-commercial
- Raw data:
- Data contained in dataset was not processed.
Details
- Year of publication:
- 2022
- Verification date:
- 2023-01-02
- Creation date:
- 2020
- Dataset language:
- English
- Fields of science:
-
- civil engineering, geodesy and transport (Engineering and Technology)
- DOI:
- DOI ID 10.34808/n8y2-g131 open in new tab
- Series:
- Verified by:
- Gdańsk University of Technology
Keywords
References
- laboratory Pracownia Fotogrametrii i Teledetekcji Niskiego Pułapu
- publication UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations
Cite as
Authors
seen 208 times