Daniel Braga

Mr. Daniel Braga

DIOTG, National Institute for Space Research, São José dos Campos, São Paulo, Brazil
orcid
PhD candidate in Remote Sensing at INPE, Brazil

Biography

Academic background / Degrees: M.Sc. in Remote Sensing, National Institute for Space Research (INPE), Brazil B.Sc. in Geography, Federal University of Santa Catarina (UFSC), Brazil Technologist in Geoprocessing, IFSULDEMINAS, Brazil Professional Experience: GIS Consultant & Scientific Collaborator, CTrees (UCLA/NASA JPL), USA, 2023-2025 International Research Fellow, European Space Research Institute (ESRIN/ESA), Italy, 2025-2026 Current Position: PhD candidate in Remote Sensing, National Institute for Space Research (INPE), Brazil Research line: Research in Remote Sensing focused on mapping and quantifying forest degradation and disturbances in tropical ecosystems, as well as monitoring forest management, using multiple techniques and data sources, including LiDAR, SAR, deep learning, spectral indices, and high-resolution imagery, with emphasis on forest height retrieval and structural change analysis.

Affiliations

National Institute for Space Research

São José dos Campos, São Paulo, Brazil

DIOTG

Honors and Awards

honor

Best Paper Award GEOINFO 2022 - XXIII Brazilian Symposium on GeoInformatics

INPE, CEMADEN and UFSJ

Selective logging mapping in the Brazilian Amazon using high spatial resolution Planet images and artificial intelligence: case study in the Jamari National Forest

honor

Nomination for the 20th CNPq Outstanding Scientific and Technological Initiation Award 2022 Edition

INPE

honor

Selected for the 8th edition of the DLR/ESA open PolinSAR training course 2024

DLR/ESA

honor

Selected for the Summer School - Remote Sensing of Forests 2025 (Horizon EarthBridge project)

Czech University of Life Sciences Prague

This remote sensing summer school is part of the Horizon EarthBridge project, Remote Sensing of Forests. This summer school is designed for early-career scientists interested in applying remote sensing techniques in forest environments. Participants will gain a comprehensive overview of remote sensing methods, including optical sensing, SAR, and lidar, covering everything from direct field measurements and UAV-based surveys to satellite observations.

Experience

Research or Laboratory Scientist

Esri Italia, Rome, Italy

01 Oct 2025 - present

Graduate Student or Post Graduate

National Institute for Space Research, São José dos Campos, Brazil

01 Mar 2024 - present

Research or Laboratory Scientist

CTrees, Pasadena, USA

01 Mar 2023 - present

Technician or Assistant

Instituto Federal do Sul de Minas, Pouso Alegre, Brazil

01 Mar 2023 - 01 Mar 2024

Undergraduate Student

Universidade Federal de Santa Catarina, Florianópolis, Brazil

01 Jan 2023 - 01 Dec 2023

Technician or Assistant

National Institute for Space Research, São José dos Campos, Brazil

01 Sep 2021 - 01 Aug 2023

Undergraduate Student

Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil

01 Mar 2019 - 01 Dec 2022

Technician or Assistant

Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil

01 Mar 2020 - 01 Jul 2021