RPAS orthomosaic over remnant of rainforest on UFSM/IFFar campus in municipality of Frederico Westphalen, Rio Grande do Sul, Brazil

DOI

The orthomosaic was generated from an aerial survey conducted on a remnant of rainforest (semideciduous seasonal typology), on Federal University of Santa Maria (UFSM) and Federal Institute Farroupilha (IFFar) campus in the municipality of Frederico Westphalen, Rio Grande do Sul state, Brazil. The weather conditions were characterized by sun, no clouds and no wind. The product provided is part of a set of monthly surveys carried out over the respective area in order to study techniques of vegetation analysis by remotely piloted aircraft systems (RPAS). However, no publications have been generated yet. The survey was carried out at a flight height above ground of 200 meters, along track overlay of 85% and a cross overlay of 80%. A Phanton 4 was used with camera at nadir (90°) in automatic mode. 454 photos over an effective area of approximately 115 ha were obtained. For positioning correction, 11 control points were collected from fixed objects distributed throughout the area. For dense point cloud generation, the mild parameter was used.

Identifier
DOI https://doi.org/10.1594/PANGAEA.910114
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.910114
Provenance
Creator Sestari, Geovane ORCID logo
Publisher PANGAEA
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 15 data points
Discipline Earth System Research
Spatial Coverage (-53.433 LON, -27.398 LAT); Frederico Westphalen, Rio Grande do Sul, Brazil
Temporal Coverage Begin 2019-12-02T12:52:00Z
Temporal Coverage End 2019-12-02T13:26:00Z