---

PhD

---

Aline Daniele Jacon

Bárbara Marie Van Sebroeck

Research: Use of full-waveform LiDAR data in heterogeneity structural characterization in secondary forests in the Brazilian Amazon: successional trajectories and conditioning factors.
Expertise: Forest Biomass, Hyperspectral, Seasonal vegetation monitoring
​Master: 2014 - 2016 (INPE/TREES)
PhD: 2021 - present (INPE/TREES)
​
Lattes|Researchgate|Linkedin​

Research: 
Expertise: LiDAR, Architectural heritage, Restoration
​​Master: 2017 - 2022 (UNICAMP)
PhD: 2024 - present (INPE/TREES)
​​



​
Lattes|Linkedin​

__________________________________________________________________________________

Evandro Carrijo Taquary

Felipe Campos

Research: Use of artificial intelligence for early detection of deforestation and forest degradation.
Expertise: Artificial intelligence, Deep Learning, LUCC
​​Master: 2017 - 2019 (UFG)
PhD: 2021 - present (INPE/TREES)
​
Lattes|Researchgate​

​Research: Methods for tree diversity estimation across large regions using hyperspectral and LiDAR data
​​Expertise: Theoretical Ecology, Landscape Ecology, Fragmentation, Epidemiology.
Master: 2018 - 2022 (USP)
PhD: 2023 - present (INPE/TREES)

​
​
Lattes

__________________________________________________________________________________

Marcelo dos Santos Junior

Marcus Vinicius de Freitas Silveira

Research: Risks and multi-risk of socio-environmental disasters for municipalities in the Brazilian Amazon.
Expertise: Landscape ecology, Neotropical bird ecology, Socio-environmental risks.
​​Master: 2006 - 2008 (INPA)
​PhD: 2021 - present (INPE/TREES)
​
​
Lattes|Researchgate|Linkedin​

Research: Teledetection applications for the study of environmental change, ecosystem services and earth system science.
Expertise: Conservation, Sustainable development, Ecosystem services.
​​Master: 2019 - 2021 (INPE/TREES)
​PhD: 2022 - present (INPE/TREES)
​​
Lattes|Researchgate​

Cândida Leite

Débora Joana Dutra

Research: 
Expertise: Forest fire, Modeling, Deep Learning
​Master:  2019 - 2021 (INPE/TREES)
PhD: 2024 - present (INPE)


​

​
Lattes|Researchgate|Linkedin​

Research: Predicting the probability of forest fires and fires: climatic and anthropic effects
Expertise: drought in watersheds, fires in tropical forests, modeling of environmental systems, time series analysis, landscape ecology, geoprocessing and remote sensing
​Master:  2019 - 2021 (UFMG)
PhD: 2024 - present (INPE/TREES)
​
Lattes|Researchgate|Linkedin​

__________________________________________________________________________________

Igor José Malfetoni Ferreira

Isadora Haddad Ruiz

Research: Assessment of changes in the probability of occurrence of forest fires in the Amazon
Expertise: Landscape ecology, Biodiversity conservation, Climate change, Carbon
​​Master: 2018 - 2020 (INPE/TREES)
PhD: 2023 - present (INPE/TREES)



​
Lattes|Researchgate|Linkedin

Research: A second chance in the face of the climate crisis: the Amazon rainforest and the future.
Expertise: Phenological metrics, Ecosystem services, Carbon stock
​​Master: 2020 - 2022 (INPE)
PhD: 2023 - present (INPE/TREES)
​


​
Lattes|Researchgate|Linkedin

__________________________________________________________________________________

Poliana Domingos Ferro

Thais Pereira de Medeiros

Research: Estimates of threats to the provision of ecosystem services in the southwest of the Amazon
Expertise: Deforestation, Forest fire, Protected areas.
​​Master : 2019 - 2021 (INPA)
​PhD: 2022 - present (INPE/TREES)

​
​​Lattes​

Research: Effects of rainfall seasonality and lanscape structure in the occurrence of fires in Brazil
Expertise: Forest fire, Climate Change.
​​​Master : 2021 - 2023 (INPE/TREES)
PhD: 2023 - present (INPE/TREES)
​
​​
​
Lattes|Researchgate|Linkedin​​

---

Henrique Leão

Breno Izidoro

Research:
Expertise: Geoprocessing, Data analysis in Python, Javascript, and R
​Master:  2019 - 2021 (UEMA)

Lattes|Researchgate|Linkedin

Research:
Expertise: Biomass, Carbon, LiDAR
​​Master:  2023 - 2025 (INPE/TREES)

​
​Lattes|Linkedin​

Fernanda Clementino

Research:
Expertise: Hyperspectral, EnMap,
Spectral diversity, Forest typologies​
​Master: 2023 -2025 (INPE/TREES)

​​Lattes|Linkedin​