Drones and deep learning produce accurate and efficient monitoring of large-scale colonies of black browed albatross and southern rockhopper penguins on Steeple Jason. Field work 2018 - 2019. Publication 2022
Data and Resources
This dataset has no data
Additional Info
Field | Value |
---|---|
Last Updated | September 3, 2024, 02:41 (PDT) |
Created | September 3, 2024, 02:38 (PDT) |
Region | Falkland Islands |
Language | eng |
Topic Category | Biota; flora and/or fauna in natural environment |
Temporal Extent Start | 2018-11-01 |
Temporal Extent End | 2019-11-30 |
Dataset Reference Date | 2021 |
Lineage | Aerial photography: Phantom 4 Pro equiped with Camera: 1-inch 20MP CMOS sensor; automated flight pathway using Drone Deploy software. Analysis using CNN: Keras implementation of the one-stage RetinaNet object detection architecture with the ResNet-50-FPN backbone. |
West Longitude | -61.2530 |
South Latitude | -61.0686 |
East Longitude | -54.0786 |
North Latitude | -51.0127 |
Spatial Reference System | WGS84 |
Responsible Organisation Name | Duke university - https://www.duke.edu - Duke Marine Robotics and Remote Sensing Lab https://MarineUAS.net -https://www.wcs.org/ |
Contact Mail Address | david.johnston@Duke.edu |
Responsible Party Role | WCS: originator; owner / Duke university: procesor; author; custodian |
Access Limitations | Open access |
Use Constraints | Open, but copyright and/or Intellectual Property Rights apply |
Resource Reference | Falkland Islands Government Research Licence No: R28/2019. |
Data Format | jpeg |
Update Frequency | Quinquennial |
Accuracy | 1 pixel equvalent to between 0.48cm to 5cm on the ground |
Resource Type | Format of compiled data: 12 orthomosaics (size ranging from 400MB to 3.6GB) stitched using Pix4Dmapper software. |
Original Title | Hidden (internal use only) |
Metadata Date | 2024-08-19 |
Metadata Point of Contact | datamanager@saeri.ac.fk |
Contact Consent | Contact details published |
Research Permit Application ID | Hidden (internal use only) |
Dataset extent
Map Data by OpenStreetMap