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5 results for “UFSM”

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zenodo40/100

Unmanned Aerial Vehicle (UAV) data acquired over a subtropical forest area of the UFSM campus Frederico Westphalen, at July 11, 2017, Rio Grande do Sul, Brazil

Title: Unmanned Aerial Vehicle (UAV) data acquired over a subtropical forest area of the UFSM campus Frederico Westphalen, at July 11, 2017, Rio Grande do Sul, Brazil   Data description:   The data were acquired from an aerial survey conducted with an Unmanned Aerial Vehicle (UAV, also Drone) covering an forest area of the Federal University of Santa Maria – UFSM in the municipality of Frederico Westphalen, in the Rio Grande do Sul, Brazil (Figure 1). 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 (<a href="https://www.sciencedirect.com/science/article/pii/S0303243419309481#bib0015">Alvares et al., 2013</a>). The rainfall is well distributed throughout the year.   Figure 1. Location of the site of data acquisition. Based on Google Earth Pro scenes. The KML and KMZ are appended to the files.   UAV and camera settings for the acquisition (Specifications Table):   Parameters Specification/value Date (YYYYMMDD): 20170711 Time of day (BRT = -3) 10h a.m. UAV – Drone - Camera Phantom 4. Fly high (meters above ground) 250 m View angle 90° automatic mode. Sky conditions ( x ) Clear sky (  ) Low cloud coverage (some clouds) (  ) Completely cloudy Wind condition ( x ) no wind (  ) Low speed (  ) High speed wind Approximate data acquisition duration 16 minutes Total of photographs acquired 143 Across track coverage 80% Cross-track coverage 80% Fly planning software Pix4D Capture   For more information contact: Fábio Marcelo Breunig, <a href="mailto:breunig@ufsm.br">breunig@ufsm.br</a> An example of the mosaic is showed (Figure 2), referring to a screen capture of Agisoft Metashape (Agisoft LLC, 11 Degtyarniy per., St. Petersburg, Russia, 191144) and, the workflow adopted.   Figure 2. The capture of an orthomosaic and processing workflow     References to the main project/publications:   Breunig, Fabio Marcelo. CONESAT – Monitoring the CONESUL using remote sensing data. Project. Federal University of Santa Maria, Campus of Frederico Westphalen. Brazil. Available at: <https://www.researchgate.net/project/CONESAT-Monitoring-the-CONESUL-using-remote-sensing-data>. Breunig, Fabio Marcelo. Integration of multiscale remote sensing data in the precision agriculture and silviculture (in Portuguese: Integração de dados multiescala de sensoriamento remoto na agricultura e silvicultura de precisão). Project. National Council for Scientific and Technological Development (CNPq). Grant 113769/2018-0 Breunig, Fabio Marcelo. Combination of UAV, PlanetScope, Landsat and Sentinel-2 images to precision silviculture and agriculture in a subtropical region (in Portuguese: Combinação de imagens de VANT, PlanetScope, Landsat e Sentinal-2 para a silvicultura e agricultura de precisão em uma região subtropical). Project of the National Council for Scientific and Technological Development (CNPq). Grant 305084/2020-8   Acknowledgments: 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).   Other considerations   PS. A pdf file is also attached with this description   Declaration of Competing Interest The author declares that he has no competing interests or personal relationships that have or could be perceived to have influenced the work reported in this report.   References associated: Breunig, Fábio Marcelo (2017, July 7). Unmanned Aerial Vehicle (UAV) data acquired over an subtropical forest area of the UFSM campus Frederico Westphalen, at July 7, 2017, Rio Grande do Sul, Brazil. Zenodo. http://doi.org/10.5281/zenodo.4327943 Alvares, Clayton Alcarde, José Luiz Stape, Paulo Cesar Sentelhas, José Leonardo De Moraes Gonçalves, and Gerd Sparovek, ‘Köppen’s Climate Classification Map for Brazil’, Meteorologische Zeitschrift, 22 (2013), 711–28 <https://doi.org/10.1127/0941-2948/2013/0507> Breunig, Fábio Marcelo (2019): UAV images acquired over the UFSM campus in Frederico Westphalen, RS, Brazil. Universidade Federal de Santa Maria, PANGAEA, https://doi.org/10.1594/PANGAEA.897548 Breunig, Fábio Marcelo (2019): UAV derived orthomosaic over the “prainha” in the municipality of Iraí, Rio Grande do Sul, Brazil. Universidade Federal de Santa Maria, PANGAEA, https://doi.org/10.1594/PANGAEA.897909 Sestari, Geovane (2019): RPAS orthomosaic over the remnant of rainforest on UFSM/IFFar campus in the municipality of Frederico Westphalen, Rio Grande do Sul, Brazil. PANGAEA, https://doi.org/10.1594/PANGAEA.910114

opencc-by-4.0Jul 2017View details →

zenodo40/100

Unmanned Aerial Vehicle (UAV) data acquired over an subtropical forest area of the UFSM campus Frederico Westphalen, at July 7, 2017, Rio Grande do Sul, Brazil

Title:Unmanned Aerial Vehicle (UAV) data acquired over an subtropical forest area of the UFSM campus Frederico Westphalen, at July 7, 2017, Rio Grande do Sul, Brazil   Data description:   The data were acquired from an aerial survey conducted with an Unmanned Aerial Vehicle (UAV, also Drone) covering an forest area of the Federal University of Santa Maria – UFSM in the municipality of Frederico Westphalen, in the Rio Grande do Sul, Brazil (Figure 1). 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 (<a href="https://www.sciencedirect.com/science/article/pii/S0303243419309481#bib0015">Alvares et al., 2013</a>). The rainfall is well distributed throughout the year.   Figure 1. Location of the site of data acquisition. Based on Google Earth Pro scenes. The KML and KMZ are appended to the files.   UAV and camera settings for the acquisition (Specifications Table):   Parameters Specification/value Date (YYYYMMDD): 20170707 Time of day (BRT = -3) 14h a.m. UAV – Drone - Camera Phantom 4. Fly high (meters above ground) 250 m View angle 90° automatic mode. Sky conditions ( x ) Clear sky (  ) Low cloud coverage (some clouds) (  ) Completely cloudy Wind condition ( x ) no wind (  ) Low speed (  ) High-speed wind Approximate data acquisition duration 16 minutes Total of photographs acquired 143 Across track coverage 80% Cross-track coverage 80% Fly planning software Pix4D Capture   For more information contact: Fábio Marcelo Breunig, <a href="mailto:breunig@ufsm.br">breunig@ufsm.br</a> An example of the mosaic is showed (Figure 2), referring to a screen capture of Agisoft Metashape (Agisoft LLC, 11 Degtyarniy per., St. Petersburg, Russia, 191144) and, the workflow adopted.   Figure 2. The capture of an orthomosaic and processing workflow     References to the main project/publications:   Breunig, Fabio Marcelo. CONESAT – Monitoring the CONESUL using remote sensing data. Project. Federal University of Santa Maria, Campus of Frederico Westphalen. Brazil. Available at: <https://www.researchgate.net/project/CONESAT-Monitoring-the-CONESUL-using-remote-sensing-data>. Breunig, Fabio Marcelo. Integration of multiscale remote sensing data in the precision agriculture and silviculture (in Portuguese: Integração de dados multiescala de sensoriamento remoto na agricultura e silvicultura de precisão). Project. National Council for Scientific and Technological Development (CNPq). Grant 113769/2018-0 Breunig, Fabio Marcelo. Combination of UAV, PlanetScope, Landsat and Sentinel-2 images to precision silviculture and agriculture in a subtropical region (in Portuguese: Combinação de imagens de VANT, PlanetScope, Landsat e Sentinal-2 para a silvicultura e agricultura de precisão em uma região subtropical). Project of the National Council for Scientific and Technological Development (CNPq). Grant 305084/2020-8   Acknowledgments: 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).   Other considerations   PS. A pdf file is also attached with this description   Declaration of Competing Interest The author declares that he has no competing interests or personal relationships that have or could be perceived to have influenced the work reported in this report.   References associated:   Alvares, Clayton Alcarde, José Luiz Stape, Paulo Cesar Sentelhas, José Leonardo De Moraes Gonçalves, and Gerd Sparovek, ‘Köppen’s Climate Classification Map for Brazil’, Meteorologische Zeitschrift, 22 (2013), 711–28 <https://doi.org/10.1127/0941-2948/2013/0507> Breunig, Fábio Marcelo (2019): UAV images acquired over the UFSM campus in Frederico Westphalen, RS, Brazil. Universidade Federal de Santa Maria, PANGAEA, https://doi.org/10.1594/PANGAEA.897548 Breunig, Fábio Marcelo (2019): UAV derived orthomosaic over the “prainha” in the municipality of Iraí, Rio Grande do Sul, Brazil. Universidade Federal de Santa Maria, PANGAEA, https://doi.org/10.1594/PANGAEA.897909 Sestari, Geovane (2019): RPAS orthomosaic over the remnant of rainforest on UFSM/IFFar campus in the municipality of Frederico Westphalen, Rio Grande do Sul, Brazil. PANGAEA, https://doi.org/10.1594/PANGAEA.910114 Title:   Unmanned Aerial Vehicle (UAV) data acquired over an subtropical forest area of the UFSM campus Frederico Westphalen, at July 7, 2017, Rio Grande do Sul, Brazil   Data description:   The data were acquired from an aerial survey conducted with an Unmanned Aerial Vehicle (UAV, also Drone) covering an forest area of the Federal University of Santa Maria – UFSM in the municipality of Frederico Westphalen, in the Rio Grande do Sul, Brazil (Figure 1). 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 (<a href="https://www.sciencedirect.com/science/article/pii/S0303243419309481#bib0015">Alvares et al., 2013</a>). The rainfall is well distributed throughout the year.   Figure 1. Location of the site of data acquisition. Based on Google Earth Pro scenes. The KML and KMZ are appended to the files.   UAV and camera settings for the acquisition (Specifications Table):   Parameters Specification/value Date (YYYYMMDD): 20170707 Time of day (BRT = -3) 14h a.m. UAV – Drone - Camera Phantom 4. Fly high (meters above ground) 250 m View angle 90° automatic mode. Sky conditions ( x ) Clear sky (  ) Low cloud coverage (some clouds) (  ) Completely cloudy Wind condition ( x ) no wind (  ) Low speed (  ) High speed wind Approximate data acquisition duration 16 minutes Total of photographs acquired 143 Across track coverage 80% Cross-track coverage 80% Fly planning software Pix4D Capture   For more information contact: Fábio Marcelo Breunig, <a href="mailto:breunig@ufsm.br">breunig@ufsm.br</a> An example of the mosaic is showed (Figure 2), referring to a screen capture of Agisoft Metashape (Agisoft LLC, 11 Degtyarniy per., St. Petersburg, Russia, 191144) and, the workflow adopted.   Figure 2. The capture of an orthomosaic and processing workflow     References to the main project/publications:   Breunig, Fabio Marcelo. CONESAT – Monitoring the CONESUL using remote sensing data. Project. Federal University of Santa Maria, Campus of Frederico Westphalen. Brazil. Available at: <https://www.researchgate.net/project/CONESAT-Monitoring-the-CONESUL-using-remote-sensing-data>. Breunig, Fabio Marcelo. Integration of multiscale remote sensing data in the precision agriculture and silviculture (in Portuguese: Integração de dados multiescala de sensoriamento remoto na agricultura e silvicultura de precisão). Project. National Council for Scientific and Technological Development (CNPq). Grant 113769/2018-0 Breunig, Fabio Marcelo. Combination of UAV, PlanetScope, Landsat and Sentinel-2 images to precision silviculture and agriculture in a subtropical region (in Portuguese: Combinação de imagens de VANT, PlanetScope, Landsat e Sentinal-2 para a silvicultura e agricultura de precisão em uma região subtropical). Project of the National Council for Scientific and Technological Development (CNPq). Grant 305084/2020-8   Acknowledgments: 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).   Other considerations   PS. A pdf file is also attached with this description   Declaration of Competing Interest The author declares that he has no competing interests or personal relationships that have or could be perceived to have influenced the work reported in this report.   References associated:   Alvares, Clayton Alcarde, José Luiz Stape, Paulo Cesar Sentelhas, José Leonardo De Moraes Gonçalves, and Gerd Sparovek, ‘Köppen’s Climate Classification Map for Brazil’, Meteorologische Zeitschrift, 22 (2013), 711–28 <https://doi.org/10.1127/0941-2948/2013/0507> Breunig, Fábio Marcelo (2019): UAV images acquired over the UFSM campus in Frederico Westphalen, RS, Brazil. Universidade Federal de Santa Maria, PANGAEA, https://doi.org/10.1594/PANGAEA.897548 Breunig, Fábio Marcelo (2019): UAV derived orthomosaic over the “prainha” in the municipality of Iraí, Rio Grande do Sul, Brazil. Universidade Federal de Santa Maria, PANGAEA, https://doi.org/10.1594/PANGAEA.897909 Sestari, Geovane (2019): RPAS orthomosaic over the remnant of rainforest on UFSM/IFFar campus in the municipality of Frederico Westphalen, Rio Grande do Sul, Brazil. PANGAEA, https://doi.org/10.1594/PANGAEA.910114

opencc-by-4.0Jul 2017View details →

zenodo36/100

11 - Educação (UFSM)

Planilha utilizada na tese intitulada "Avaliação de periódicos na Área da Educação: índice de citação e características citacionais", a qual foi desenvolvida no Programa de Pós-Graduação da Pontifícia Universidade Católica do Paraná, com a orientação da professora Doutora Alboni Marisa Dudeque Pianovski Vieira. A tese foi defendida em 24 de fevereiro de 2023. Esse material pertence a um conjunto de 60 periódicos analisados e uma planilha matriz com todos os resultados quantitativos e gráficos. A descrição dessa planilha é a seguinte: <ul> <li>Os dados foram organizados, coletados e descritos em planilhas do Microsoft Excel.</li> <li>A busca foi feita para catalogar as características de citação de periódicos da Área da Educação pertencentes ao Fórum de Editores de Periódicos da Área de Educação da Região Sul (FEPAE-Sul).</li> <li>Foi delimitado para 15 artigos (quando havia) para casa primeira publicação do periódico ou, no caso do fluxo contínuo, os 15 primeiros artigos foram usados.</li> <li>A organização da planilha consiste no ano de publicação, número de organização dos artigos utilizados, título do artigo analisado, ano da referência, se a referência é nacional (N) ou internacional (I) e a descrição do tipo de referência.</li> <li>Em cada planilha possui análise dos anos de 2019, 2020 e 2021 com coletas e descrição.</li> </ul>

opencc-by-4.0Apr 2023View details →

zenodo32/100

Unmanned Aerial Vehicle (UAV) data acquired over an experimental area of the UFSM campus Frederico Westphalen, at October 20, 2020, Rio Grande do Sul, Brazil

Fábio Marcelo Breunig¹ (author) ¹ Universidade Federal de Santa Maria, Departamento de Engenharia Florestal, Frederico Westphalen, Rio Grande do Sul, Brasil. E-mail: breunig@ufsm.br Title:   Unmanned Aerial Vehicle (UAV) data acquired over an experimental area of the UFSM campus Frederico Westphalen, at October 20, 2020, Rio Grande do Sul, Brazil Data description:   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 (Figure 1). 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 (<a href="https://www.sciencedirect.com/science/article/pii/S0303243419309481#bib0015">Alvares et al., 2013</a>). The rainfall is well distributed throughout the year.   Figure 1. Location of the site of data acquisition. Based on Google Earth Pro scenes. The KML and KMZ are appended to the files. UAV and camera settings for the acquisition (Specifications Table):   Parameters Specification/value Date (YYYYMMDD): 20201020 Time of day (BRT = -3) 11 h a.m. UAV – Drone - Camera Matrice 100 X3 Fly high (meters above ground) 80 m View angle 90° automatic mode. Sky conditions ( x ) Clear sky (  ) Low cloud coverage (some clouds) (  ) Completely cloudy Wind condition ( x ) no wind (  ) Low speed (  ) High speed wind Approximate data acquisition duration 16 minutes Total of photographs acquired 224 Across track coverage 80% Cross-track coverage 80% Fly planning software Pix4D Capture   For more information contact: Fábio Marcelo Breunig, <a href="mailto:breunig@ufsm.br">breunig@ufsm.br</a> An example of the mosaic is showed (Figure 2), referring to a screen capture of Agisoft Metashape (Agisoft LLC, 11 Degtyarniy per., St. Petersburg, Russia, 191144) and, the workflow adopted.   Figure 2. The capture of an orthomosaic and processing workflow     References to the main project/publications:   Breunig, Fabio Marcelo. CONESAT – Monitoring the CONESUL using remote sensing data. Project. Federal University of Santa Maria, Campus of Frederico Westphalen. Brazil. Available at: <https://www.researchgate.net/project/CONESAT-Monitoring-the-CONESUL-using-remote-sensing-data>.   Breunig, Fabio Marcelo. Integration of multiscale remote sensing data in the precision agriculture and silviculture (in Portuguese: Integração de dados multiescala de sensoriamento remoto na agricultura e silvicultura de precisão). Project. National Council for Scientific and Technological Development (CNPq). Grant 113769/2018-0   Breunig, Fabio Marcelo. Combination of UAV, PlanetScope, Landsat and Sentinel-2 images to precision silviculture and agriculture in a subtropical region (in Portuguese: Combinação de imagens de VANT, PlanetScope, Landsat e Sentinal-2 para a silvicultura e agricultura de precisão em uma região subtropical). Project of the National Council for Scientific and Technological Development (CNPq). Grant 305084/2020-8   Acknowledgments:   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).   Other considerations   PS. A pdf file is also attached with this description   Declaration of Competing Interest   The author declares that he has no competing interests or personal relationships that have or could be perceived to have influenced the work reported in this report.   References associated:   Breunig, Fábio Marcelo (2017, July 7). Unmanned Aerial Vehicle (UAV) data acquired over a subtropical forest area of the UFSM campus Frederico Westphalen, at July 7, 2017, Rio Grande do Sul, Brazil. Zenodo. http://doi.org/10.5281/zenodo.4327943 Alvares, Clayton Alcarde, José Luiz Stape, Paulo Cesar Sentelhas, José Leonardo De Moraes Gonçalves, and Gerd Sparovek, ‘Köppen’s Climate Classification Map for Brazil’, Meteorologische Zeitschrift, 22 (2013), 711–28 <https://doi.org/10.1127/0941-2948/2013/0507> Breunig, Fábio Marcelo (2019): UAV images acquired over the UFSM campus in Frederico Westphalen, RS, Brazil. Universidade Federal de Santa Maria, PANGAEA, https://doi.org/10.1594/PANGAEA.897548 Breunig, Fábio Marcelo (2019): UAV derived orthomosaic over the “prainha” in the municipality of Iraí, Rio Grande do Sul, Brazil. Universidade Federal de Santa Maria, PANGAEA, https://doi.org/10.1594/PANGAEA.897909 Sestari, Geovane (2019): RPAS orthomosaic over the remnant of rainforest on UFSM/IFFar campus in the municipality of Frederico Westphalen, Rio Grande do Sul, Brazil. PANGAEA, https://doi.org/10.1594/PANGAEA.910114 Breunig, Fábio Marcelo  (2017, July 11). Unmanned Aerial Vehicle (UAV) data acquired over a subtropical forest area of the UFSM campus Frederico Westphalen, at July 11, 2017, Rio Grande do Sul, Brazil. Zenodo. http://doi.org/10.5281/zenodo.4328340

opencc-by-4.0Oct 2020View details →

zenodo32/100

Relatório Técnico - Mapeamento sobre a situação da comunidade acadêmica da UFSM

Esta produção expõe preliminares de um estudo conduzido por pesquisadores da Universidade Federal de Santa Maria (UFSM), com o objetivo de mapear os impactos socioambientais decorrentes da recente catástrofe no Rio Grande do Sul. Uma pesquisa foi realizada pelo Programa de Pós-Graduação em Ciências Sociais em colaboração com o Observatório da Desigualdade e o Laboratório de Investigação Sociológica (LabIS). A metodologia adotada foi predominantemente quanti-qualitativa, utilizando o método de amostragem bola de neve, permitindo acesso a uma ampla gama de participantes em diferentes campi da UFSM. Durante o período de 11 a 26 de maio de 2024, 894 entrevistados foram entrevistados, representando os diversos perfis acadêmicos e étnico-raciais da comunidade universitária. Uma pesquisa indicou que uma parcela significativa dos entrevistados experimentou danos diretos e indiretos devido a chuvas intensas e desmoronamentos, com impactos materiais, simbólicos e psicológicos. Em termos de percepção de risco prévio, uma pesquisa destacou que a maioria não considerava suas áreas de residência como de risco. As considerações importantes enfatizam a urgência de estratégias de reposição e prevenção diante de desastres climáticos, que mitigam impactos futuros. Os dados encontrados oferecem insights cruciais para o desenvolvimento de políticas públicas mais resilientes, capazes de enfrentar desafios semelhantes no futuro. Esta pesquisa ilustra a relevância da academia na compreensão e resposta a eventos climáticos extremos, promovendo ações direcionadas à segurança e ao bem-estar das comunidades afetadas.

opencc-by-4.0Jun 2024View details →

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