UAV surveys - kelp forests - August 2019

Surveys on kelp forests. UAV flights over Tussac Islands (Top, Bottom and Kelly rocks). The result of this survey is available at https://biogeoscienceslaboxford.users.earthengine.app/view/kelp-forests-uav

Data and Resources

Additional Info

Field Value
Source https://biogeoscienceslaboxford.users.earthengine.app/view/kelp-forests-uav
Last Updated January 27, 2022, 03:21 (PST)
Created January 27, 2022, 03:21 (PST)
Region Falkland Islands
Language eng
Topic Category Biota; flora and/or fauna in natural environment
Temporal Extent Start 2019-07-19
Temporal Extent End 2019-07-19
Dataset Reference Date 2020
Lineage For each site, a mapping mission flew a DJI-Phantom 4 pro unmanned aerial vehicle (UAV) with an RGB camera mounted on it (FOV 84° 8.8 mm/24 mm (35 mm format equivalent) f/2.8–f/11 auto focus at 1 m–∞). The overlap of the images was 80%, and the height was between 70 and 100 m depending on coastal topography. The time of the day for the flights was between 10 a.m. and 4 p.m. The aerial images were processed using Agisoft Metashape. (Mora-Soto et al., 2020)
West Longitude -51.672
South Latitude -57.742
East Longitude -51.673
North Latitude -57.746
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 Open access
Use Constraints Open
Resource Reference Mora-Soto A, Palacios M, Macaya EC, Gómez I, Huovinen P, Pérez-Matus A, Young M, Golding N, Toro M, Yaqub M, Macias-Fauria M. A High-Resolution Global Map of Giant Kelp (Macrocystis pyrifera) Forests and Intertidal Green Algae (Ulvophyceae) with Sentinel-2 Imagery. Remote Sensing. 2020; 12(4):694. https://doi.org/10.3390/rs12040694
Data Format tiff
Update Frequency Survey Completed
Accuracy 10cm
Resource Type Dataset
Metadata Date 2022-01-27
Metadata Point of Contact datamanager@saeri.ac.fk
Contact Consent Contact details hidden
Research Permit Application ID Hidden (internal use only)

Dataset extent

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