João Ucella Filho

Dr. João Ucella Filho

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 September 2022 in South African Journal of Botany
Verified
Journal Article
Open access
JFJoão Ucella Filho
João Ucella Filho
AFAgeu da Silva Monteiro Freire
Ageu da Silva Monteiro Freire
JCJéfyne Campos Carrera
Jéfyne Campos Carrera
FLFernanda Moura Fonseca Lucas
Fernanda Moura Fonseca Lucas
SZSilvana Maria Zucolotto
Silvana Maria Zucolotto
FMFábio Akira Mori
Fábio Akira Mori

27 August 2024 in South African Journal of Botany
Verified
Journal Article
Open access
DFDaiana Freitas Ferreira
Daiana Freitas Ferreira
TSThais Martins da Silva
Thais Martins da Silva
RMRita Cristina Gonçalves de Melo
Rita Cristina Gonçalves de Melo
KBKamila Areas Bastos
Kamila Areas Bastos
JFJoão Ucella Filho
João Ucella Filho
Juliana Alves ResendeJuliana Alves Resende
Juliana Alves Resende

2 January 2024 in Food Bioscience
Verified
Journal Article
Closed access
JFJoão Ucella Filho
João Ucella Filho
Mário Sérgio LorençoMário Sérgio Lorenço
Mário Sérgio Lorenço
BSBruna Rafaella Ferreira da Silva
Bruna Rafaella Ferreira da Silva
VFVanuzia Rodrigues Fernandes Ferreira
Vanuzia Rodrigues Fernandes Ferreira
Jéssica MonteiroJéssica Monteiro
Jéssica Monteiro
FMFábio Akira Mori
Fábio Akira Mori

11 November 2024 in Forests
Verified
Journal Article
Open access
PDF file
BSBruna Rafaella Ferreira da Silva
Bruna Rafaella Ferreira da Silva
JFJoão Ucella Filho
João Ucella Filho
PBPolyanna Da Conceição Bispo
Polyanna Da Conceição Bispo
DEDuberlí Geomar Elera-Gonzáles
Duberlí Geomar Elera-Gonzáles
ESEmanuel Silva
Emanuel Silva
RFRinaldo Luiz Caraciolo Ferreira
Rinaldo Luiz Caraciolo Ferreira
Traditional field inventories have been the standard method for collecting detailed forest attribute data. However, these methods are often time-consuming, labor-intensive, and costly, especially for large areas. In contrast, remote sensing technologies, such as unmanned aerial vehicles (UAVs), have become viable alternatives for collecting forest structure data, providing high-resolution images, precision, and the ability to use various sensors. To explore this trend, a bibliometric review was conducted using the Scopus database to examine the evolution of scientific publications and assess the current state of research on using UAVs to estimate dendrometric variables in forest ecosystems. A total of 454 studies were identified, with 199 meeting the established inclusion criteria for further analysis. The findings indicated that China and the United States are the leading contributors to this research domain, with a notable increase in journal publications over the past five years. The predominant focus has been on planted forests, particularly utilizing RGB sensors attached to UAVs for variable estimation. The primary variables assessed using UAV technology include total tree height, DBH, above-ground biomass, and canopy area. Consequently, this review has highlighted the most influential studies in the field, establishing a foundation for future research directions.

1 March 2024 in Journal of Cleaner Production
Verified
Journal Article
Closed access
JFJoão Ucella Filho
João Ucella Filho
NFNicolly Soares Ferreira
Nicolly Soares Ferreira
GCGabriela Fontes Mayrinck Cupertino
Gabriela Fontes Mayrinck Cupertino
NGNatália Assis Guedes
Natália Assis Guedes
HPHeberth de Paula
Heberth de Paula
AJAnanias Francisco Dias Junior
Ananias Francisco Dias Junior

1 January 2021 in Revista Árvore
Verified
Journal Article
Open access
JSJaltiery Bezerra de Souza
Jaltiery Bezerra de Souza
TATATIANE Barbosa Azevedo
TATIANE Barbosa Azevedo
APAlexandre Pimenta
Alexandre Pimenta
JGJoão Paulo Silva Gomes
João Paulo Silva Gomes
JFJoão Ucella Filho
João Ucella Filho
BSBruna Rafaella Ferreira da Silva
Bruna Rafaella Ferreira da Silva
This study aimed to assess the influence of the seasonality on the bark tannins content of Acacia mangium trees grown in the Northeastern Brazilian Region and the effect of soil preparation on the results. Two experimental plots of 1.0 ha each were submitted to different soil preparation methods, with two different intensities. The experimental design consisted of four treatments, two types of soil preparation and, two different bark collection seasons (end of the rainy and dry seasons). The bark of the trees was collected in each treatment and the contents of condensed tannins were determined. For each experimental treatment, 15 trees were harvested and debarked. Bark material was submitted to extraction with hot water, obtaining the total solids content (TSC), Stiasny index (I), and the condensed tannins content (CTC). There was no influence of the soil preparation method on the TSC, I, and CTC. However, there was a significant difference in these parameters for tree bark collected in the rainy season, with higher values. The less intensive soil preparation method is recommended due to its lower cost, and bark should be collected at the end of the rainy season for the best yield of condensed tannins.