RAIZ - Instituto de Investigação Isabel da Floresta e Papel

Dr. RAIZ - Instituto de Investigação Isabel da Floresta e Papel

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

View All Publications
8 November 2021 in Mycological Progress
Verified
Journal Article
Closed access
PDF file
EDEugénio L. F. Diogo
Eugénio L. F. Diogo
RPRAIZ - Instituto de Investigação Isabel da Floresta e Papel
RAIZ - Instituto de Investigação Isabel da Floresta e Papel
ASAna Cristina Silva
Ana Cristina Silva
CVCarlos Valente
Carlos Valente
Maria BragançaMaria Bragança
Maria Bragança
APAlan Phillips
Alan Phillips

25 September 2020 in Remote Sensing
Verified
Journal Article
Open access
PDF file
André DuarteAndré Duarte
André Duarte
LALuis Acevedo-Muñoz
Luis Acevedo-Muñoz
RPRAIZ - Instituto de Investigação Isabel da Floresta e Papel
RAIZ - Instituto de Investigação Isabel da Floresta e Papel
LMLuís Mota
Luís Mota
ASAlexandre Sarmento
Alexandre Sarmento
CVCarlos Valente
Carlos Valente
Eucalyptus Longhorned Borers (ELB) are some of the most destructive pests in regions with Mediterranean climate. Low rainfall and extended dry summers cause stress in eucalyptus trees and facilitate ELB infestation. Due to the difficulty of monitoring the stands by traditional methods, remote sensing arises as an invaluable tool. The main goal of this study was to demonstrate the accuracy of unmanned aerial vehicle (UAV) multispectral imagery for detection and quantification of ELB damages in eucalyptus stands. To detect spatial damage, Otsu thresholding analysis was conducted with five imagery-derived vegetation indices (VIs) and classification accuracy was assessed. Treetops were calculated using the local maxima filter of a sliding window algorithm. Subsequently, large-scale mean-shift segmentation was performed to extract the crowns, and these were classified with random forest (RF). Forest density maps were produced with data obtained from RF classification. The normalized difference vegetation index (NDVI) presented the highest overall accuracy at 98.2% and 0.96 Kappa value. Random forest classification resulted in 98.5% accuracy and 0.94 Kappa value. The Otsu thresholding and random forest classification can be used by forest managers to assess the infestation. The aggregation of data offered by forest density maps can be a simple tool for supporting pest management.

20 June 2019 in Annals of Forest Science
Verified
Journal Article
Closed access
PDF file
RPRAIZ - Instituto de Investigação Isabel da Floresta e Papel
RAIZ - Instituto de Investigação Isabel da Floresta e Papel
LVLiliana Vilas-Boas
Liliana Vilas-Boas
Manuela Rodrigues BrancoManuela Rodrigues Branco
Manuela Rodrigues Branco
GRGabriel D. Rezende
Gabriel D. Rezende
CVCarlos Valente
Carlos Valente

26 September 2022 in BioControl
Verified
Journal Article
Closed access
PDF file
LSLuis P da Silva
Luis P da Silva
DODaniela Oliveira
Daniela Oliveira
Sónia FerreiraSónia Ferreira
Sónia Ferreira
RPRAIZ - Instituto de Investigação Isabel da Floresta e Papel
RAIZ - Instituto de Investigação Isabel da Floresta e Papel
CVCarlos Valente
Carlos Valente
VMVanessa Mata
Vanessa Mata

1 November 2021 in Forest Ecology and Management
Verified
Journal Article
Closed access
RCRicardo S. Ceia
Ricardo S. Ceia
NFNuno Faria
Nuno Faria
PLPedro B. Lopes
Pedro B. Lopes
Joana AlvesJoana Alves
Joana Alves
ASAntónio Alves da Silva
António Alves da Silva
LSLuís P. da Silva
Luís P. da Silva

27 September 2023 in Forests
Verified
Journal Article
Open access
PDF file
SCSofia Caçoilo Corticeiro
Sofia Caçoilo Corticeiro
PMPaula Maia
Paula Maia
RPRAIZ - Instituto de Investigação Isabel da Floresta e Papel
RAIZ - Instituto de Investigação Isabel da Floresta e Papel
JKJan Jacob Keizer
Jan Jacob Keizer
CVCarlos Valente
Carlos Valente
Weed control is considered a critical management operation for the establishment and growth of Eucalyptus globulus and is often performed during the first two years following planting. However, no information has been found related to the effects of weed management on the long-term growth of E. globulus. This study aims to better understand how adjusting the timing of weed control, beyond tree establishment, affects the productivity of eucalypts on two commercial plantations in Central Portugal. Two treatments were considered: weed control when vegetation cover occupied at least 50% of the area with a mean height of at least 50 cm, and no weed control. At the northernmost site, weed control operations were performed during the first 3 years following planting. At the southernmost site, weed control interventions occurred between 1.5 and 8.2 years. Weed control demonstrated to be effective at diminishing vegetation cover density to a maximum of 79% and 94% in the northmost and southmost sites, respectively. Weed control significantly increased E. globulus productivity by the end of the study, demonstrating that the timing of weed management must be adjusted in accordance with the understory competing vegetation cover (weeds) and during the entire rotation, not only during tree establishment.