An yearly-updated high-resolution aerial composite image of Sea Lion Island

We are using drones to obtain high-resolution overlapped images of the whole surface of Sea Lion Island, Falkland Islands. Images are processed in Agisoft Photoscan to produce a single orthoimage of the island, that can then bu used to assess vegetation and landscape. The plan is to have a baseline yearly image obtained froma composite of images taken at 500 m of altitude. This baseline image can be augmented by: 1) taking images at lower altitute for areas of specific interest (e.g., 200 m images of areas of tussac replanting); 2) repeating the survey more than once per year, to assess seasonal variation.

Data and Resources

This dataset has no data

Additional Info

Field Value
Last Updated December 14, 2020, 09:57 (PST)
Created January 30, 2020, 05:25 (PST)
Region Falkland Islands
Language eng
Topic Category Biota; flora and/or fauna in natural environment
Temporal Extent Start 2018-01-01
Temporal Extent End 2019-03-30
Dataset Reference Date 2019
Lineage Drone missions are planned using DJIFlightPlanner and DroneHarmony software. Missions are then inputted to a DJI Mavic Pro Platinum or a DJI Phantom III Professional, using either Litchi or DroneHarmony. Mission are planned to have sufficient overlap among consecutive photo, but permitting to cover the whole area of the island in five missions. Drone photos in TIFF format are then imported and processed in Agisoft Metashape Pro software, to produce an orthophoto of the whole island. Metashape alingn the photos using the georefencing information contained in the photo EXIF data, and obtained from the drone sensors. The orthophoto is exported from Metascan in GeoTIFF and is then loaded in QGIS for further processing and analysis. We are currently manually tracing features in QGIS to generate shapefiles (e.g., vegetation map) but we are trying to semi-automate the processing using both the built in classification engine of Metashape and the Semi-Automatic Classiifcation Plugin of QGIS.
West Longitude -59.1519
South Latitude -52.4486
East Longitude -59.0364
North Latitude -52.4205
Spatial Reference System WGS84
Responsible Organisation Name Hidden (personal data protection)
Contact Mail Address Hidden (personal data protection)
Responsible Party Role Hidden (personal data protection)
Access Limitations Restricted, send data request to data owner
Use Constraints Restricted, but open subject to limitations and prior agreement with responsible organisation. Copyright must be cited
Resource Reference Copyright ESRG 1995-present - All Rights Reserved.
Data Format tiff
Update Frequency annually
Accuracy Drone pictures are georeferenced using AgiSoft Metashape. Accuracy is in the order of the meter. Georefencing of the image can be improved in QGIS using accurately surveyed ground control point.
Resource Type Dataset
Original Title Hidden (internal use only)
Metadata Date 2019-04-03
Metadata Point of Contact datamanager@saeri.ac.fk
Contact Consent Contact details hidden
Unique Resource ID FK-ESRG-554

Dataset extent

Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under CC BY SA.