Unmanned Aerial Vehicle (UAV) data acquired over an experimental area of the UFSM campus Frederico Westphalen on December 13, 2017 in Rio Grande do Sul, Brazil

DOI

The data were acquired from an aerial survey conducted with an Unmanned Aerial Vehicle (UAV, also Drone) covering an experimental area of the Federal University of Santa Maria - UFSM in the municipality of Frederico Westphalen, in the Rio Grande do Sul, Brazil. The climate of the region is subtropical (Cfa in the Köppen-Geiger classification) with an average annual temperature of 18 °C and annual precipitation of 1919 mm (Alvares et al., 2013). The rainfall is well distributed throughout the year.

This work was supported by the National Council for Scientific and Technological Development (CNPq) (Grants 113769/2018-0, 312081/2013-8, 478085/2013-3 and, 305084/2020-8) and Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (Grant 23830.388.22048.19092016).

Identifier
DOI https://doi.org/10.1594/PANGAEA.930004
Related Identifier References https://doi.org/10.1127/0941-2948/2013/0507
Related Identifier References https://doi.org/10.1594/PANGAEA.897909
Related Identifier References https://doi.org/10.1594/PANGAEA.897548
Related Identifier References https://doi.org/10.5281/zenodo.4327943
Related Identifier References 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.930004
Provenance
Creator Breunig, Fábio Marcelo
Publisher PANGAEA
Publication Year 2021
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 application/zip
Size 1.4 GBytes
Discipline Earth System Research