
About the lab
The Coordenação de Pesquisa Aplicada e Desenvolvimento Tecnológico (Coordination of Applied Research and Technological Development - COPDT) of the Instituto Nacional de Pesquisas Espaciais (National Institute for Space Research - INPE) is the pioneering coordination in carrying out research and development in artificial intelligence (AI) for INPE’s projects. The Laboratório de Inteligência ARtificial para Aplicações AeroEspaciais e Ambientais (Artificial Intelligence Laboratory for Aerospace and Environmental Applications - LIAREA) was created in 2024 to consolidate COPDT's work in research and development in artificial intelligence applied to the environmental areas (remote sensing, weather and climate forecasting), space (astrophysics, space geophysics), and aerospace engineering. LIAREA has extensive support from INPE staff from various coordination areas, in addition to COPDT, master and PhD students from INPE postgraduate programs, undergraduate students, and also has external collaborators.
News

Workshop on Deep Learning for Remote Sensing Applications
Hosted on GeoInfo 2025 it is going to take place in May 19th

Interview to the program Brasil com Ciência
Introducing the lab activities and members

LIAREA: Laboratory Inauguration
Strengthening AI Research and Collaboration
Projects & Collabs
Publications

Precipitation Forecasting and Drought Monitoring in South America Using a Machine Learning Approach
by Anochi, Juliana and Schimizu, Marilia (2025)

Empirical Evidence Regarding Few-Shot Learning for Scene Classification in Remote Sensing Images
by Santiago Júnior, Valdivino Alexandre (2024)

CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classification
by Miranda, Mateus et al (2024)

AI4LUC: Deep Learning and Automated Mask Labelling to Support Land Use and Land Cover Mapping in the Cerrado Biome
by Miranda, Mateus et al (2024)

Automated Detection of Vessels in Remote Sening Images Using Deep Learning Models
by Pereira, Hércules Carlos et al (2024)

Mining Sites Recognition via Scene Classification Using 3D Convolutional Neural Networks
by Oliveira, André; et al (2024)
INPE’s Researchers

Valdivino Alexandre de Santiago Júnior
Researcher and professor

Rafael Duarte Coelho dos Santos
Researcher and professor

Juliana Aparecida Anochi
Researcher and teacher

Thales Sehn Körting
Researcher and professor
External Collaborators

Elcio Hideiti Shiguemori
Researcher and professor

Mateus de Souza Angelo
Researcher and professor
Students

Mateus de Souza Miranda
PhD. Candidate

Pedro Vinícius da Silva Brito
PhD. Candidate

Rafael Marinho de Andrade
PhD. Candidate

André Estevam Costa Oliveira
MsC. Student

Breno Coltro da Costa
MsC. Student

Caio Eduardo Dias
MsC. Student

Daniel Farkat Alves Fontes
MsC. Student

Dener César Mendes
MsC. Student

João Vyctor Ferreira da Costa
MsC. Student

Júlia Gayotto
MsC. Student

Luísa Mirelle Costa dos Santos
MsC. Student

Hércules Carlos dos Santos Pereira
MsC. Student

Matheus Corrêa Domingos
MsC. Student

Maria Clara de Souza Cruz
CNPq Scientific Initiation
GET IN TOUCH
- INPE - Av. dos Astronautas, 1758
- Jardim da Granja - São José dos Campos/SP
- CEP: 12227-010
- liarealab@gmail.com