Links:
ResearchGate: https://www.researchgate.net/profile/Rorai-Pereira-Martins-Neto
Google Acadêmico: https://scholar.google.com/citations?hl=pt-BR&user=LNQldGMAAAAJ
ORCID: https://orcid.org/0000-0001-5318-2627
Twitter: @roraineto
Linkedin: https://cz.linkedin.com/in/rorai-pereira-martins-neto-331303227
Short bio:
Dr. Rorai Pereira Martins-Neto holds a degree in Forest Engineering from the Federal University of Paraná (UFPR), Brazil (2014), a Master’s degree in Forest Engineering from Santa Catarina State University (CAV-UDESC), Brazil (2016), and a PhD in Photogrammetry and Remote Sensing from Paulista State University “Julio de Mesquita Filho” (FCT/UNESP), Brazil (2021). He is currently a postdoctoral researcher and assistant professor at the Faculty of Forestry and Wood Sciences at the Czech University of Life Sciences Prague (CULS). Rorai is passionate about teaching and enjoys the knowledge transfer that comes from working with students. He also believes that teaching helps keep his knowledge base up to date.
Dr. Martins-Neto has expertise in photogrammetry and remote sensing applied to forestry, focusing on forest monitoring through machine learning and computer vision techniques for developing predictive models and classification systems. His research covers the following topics:
- LiDAR (Discrete and Full Waveform Returns) for the characterization and modeling of native and planted forests
- The use of multispectral and hyperspectral imagery for mapping tree diversity, assessing forest health, and analyzing land cover and land use
- Field spectroscopy
Additionally, he is involved in research related to R programming, data science, and artificial intelligence techniques for regression and classification.
Education:
03/2017 – 11/2021: Ph. D degree in Cartographic Sciences: “Extraction of structural variables using LiDAR data combined with hyperspectral images for classification of upper canopy tree species in Brazilian Atlantic Forest”. Graduate Program of Cartographic Sciences, Faculty of Science and Technology – São Paulo State University, Brazil (FCT/UNESP).
Key points:
- Forest inventory for characterize the composition, floristic diversity, and forest structure of the tree component.
- Extraction of LiDAR metrics for modelling and estimating stand and diversity variables.
- Analysis of full-waveform LiDAR data using a voxel-based approach to characterize and modelling tropical forests.
- Field spectroscopy for radiometric calibration of hyperspectral images.
- Photogrammetric analysis and digital image processing (multispectral and hyperspectral) obtained by UAV and aircraft for tree species classification.
- Classification of tree species in the upper canopy integrating LiDAR data with hyperspectral images.
- Application of machine learning techniques for regression (estimation of forestry variables) and classification of tree species.
03/2014 – 02/2016: Master’s degree in Forest Engineering: “Extraction of Dendrometric Variables in Pinus taeda L. (Loblolly Pine) Trees from TLS and ALS Data (in portuguese)”. Graduate Program of Forest Engineering, College of Agronomy and Veterinary – Santa Catarina State University, Brazil (CAV/UDESC).
Key points:
- Comparison between different filtering methods of the point cloud to obtain ground and vegetation points in forested areas.
- Automatic segmentation of tree crowns using ALS data and automatic tree stem identification using TLS data.
- Processing of ALS and TLS point clouds for extraction of diameter at breast height, total height, and volume of individual trees.
03/2009 – 05/2014: Bachelor’s in Forest Engineering.
Federal University of Paraná, Brazil (UFPR).
Individual Project: Applications of remote sensing techniques for silviculture and forest mensuration.
Work Experience:
03/2017 – 11/2021: Researcher (part of Ph. D candidacy)
Graduate Program of Cartography Sciences, Faculty of Science and Technology – São Paulo State University, Brazil.
I received a four-year full scholarship to pursue a Ph.D. in Cartographic Science under the supervision of Prof. Antonio Tommaselli. During this time, I deepened my understanding of remote sensing and photogrammetry as applied to tropical forests, gaining new insights and concepts in the field.
10/2020 – 11/2021: Temporary Lecture
Faculty of Science and Technology – São Paulo State University, Brazil.
Temporary lecturer for the Remote Sensing II course, responsible for preparing and delivering lectures and seminars, holding student consultations, and grading assignments.
02/2018 – 07/2018: Teaching Assistant
Faculty of Science and Technology – São Paulo State University.
Teaching assistant for the Photogrammetry I course, responsible for assisting students during seminars, grading assignments, and preparing materials for some seminar classes.
03/2014 – 02/2016: Researcher (part of MSc candidacy)
College of Agronomy and Veterinary – Santa Catarina State University, Brazil.
I received a two-year position with a full scholarship to pursue an MSc in Forest Engineering, under the supervision of Prof. Marcos Schimalski. During this time, I gained in-depth knowledge of the management of planted forests and acquired insights into silviculture.
04/2015 – 07/2016: Temporary Lecture
Federal University of Santa Maria, Brazil.
Temporary lecturer responsible for teaching geosciences applied to agronomy and forest engineering, basic statistics, and forest management. Duties included preparing and delivering classes, conducting student consultations, grading assignments, and supervising students.
