UAV derived orthomosaic over the "prainha" in the municipality of Iraí, Rio Grande do Sul, Brazil

DOI

Orthomosaic created with Unmanned aerial vehicle (UAV) photographs acquired at 100 meters above ground in May 24, 2018 at 3 p.m. (Brazilian Meridian Time zone -3) using Phantom 4. The mosaic covers an area named "Praínha" of the Federal University of Santa Maria - UFSM in the municipality of Iraí, Rio Grande do Sul, Brazil. The data were used to characterize the area in order to planning recreational uses 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 15 minutes. A total of 288 photographs were used and can be made available at original format. Central coordinates: 27°10'57.08"S and 53°15'8.53"W Along and cross track overlay of 80%. The mosaic was created using AGISOFT® Photoscan (now Metashape) software. The general processing characteristics are included in the file description. No GCP were used in the processing. A high quality dense cloud was generated (moderate filtering) and the DEM was used to create the orthomosaic.

Identifier
DOI https://doi.org/10.1594/PANGAEA.897909
Related Identifier IsDocumentedBy https://hs.pangaea.de/Images/Airphoto/UAV_Prainha_Irai/UAV_file_description-Prainha_Iraia.pdf
Related Identifier IsDocumentedBy https://hs.pangaea.de/Images/Airphoto/UAV_Prainha_Irai/Prainha_area.kmz
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.897909
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 image/tiff
Size 1.9 GBytes
Discipline Earth System Research
Spatial Coverage (-53.252 LON, -27.183 LAT); Brazil