UAV images acquired over the UFSM campus in Frederico Westphalen, RS, Brazil

DOI

Unmanned aerial vehicle (UAV) photographs acquired at 50 meters above ground in May 29, 2018 at 5 pm (Brazilian Meridian Time zone -3:00) over the Federal University of Santa Maria campus of Frederico Westphalen - UFSM FW.The data were used to characterize the protection area within the campus and evaluate the potential of UAV scenes to such applications.

A Phantom 4 Go Pro camera was used at nadir (90º) in automatic mode.The environmental conditions were characterized by no wind, clear sky, and a duration of 12 minutes. The final mosaic will be published at separate file.111 photographs were made available at original format.Central coordinates: 27°23'35.18"S and 53°25'44.95"WAlong and cross track overlay of 80%.For more information contact: Fábio Marcelo Breunig, mailto:fabiobreunig@gmail.com

Identifier
DOI https://doi.org/10.1594/PANGAEA.897548
Related Identifier IsVariantFormOf https://hs.pangaea.de/Images/Airphoto/UAV_UniFedSantaMaria/Breunig%20_2019.zip
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.897548
Provenance
Creator Breunig, Fábio Marcelo
Publisher PANGAEA
Contributor Universidade Federal de Santa Maria
Publication Year 2019
Funding Reference National Council for Scientific and Technological Development https://doi.org/10.13039/501100003593 Crossref Funder ID 113769/2018-0 Integration of multiscale remote sensing data in the precision agriculture and silviculture; National Council for Scientific and Technological Development https://doi.org/10.13039/501100003593 Crossref Funder ID 312081/2013-8 Monitoring the CONESUL using remote sensing data; National Council for Scientific and Technological Development https://doi.org/10.13039/501100003593 Crossref Funder ID 478085/2013-3 Monitoring the CONESUL using remote sensing data
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 444 data points
Discipline Earth System Research
Spatial Coverage (-53.430W, -27.394S, -53.428E, -27.392N); Brazil