M.Sc. Thales Shoiti Akiyama

Curriculum Vitae

• 2011 – 2017 Academic studies in Cartographic Engineering at the UNESP (São Paulo State University), Brazil.

• 2017 Bachelor thesis “Construction of cartographic products in 1:10000 scale for sheet SF-22-Y-B-III-1-SE-A”.

• 2017 – 2018 Master studies in Environmental Technologies at UFMS (Federal University of Mato Grosso do Sul), Brazil.

• 2018 Master’s thesis “Evaluation of rigorous and generalized models in geometric correction of Cbers-4/Pan images as support for environmental applications”.
• 2019 - 2021 PhD studies in Environmental Technologies at UFMS (Federal University of Mato Grosso do Sul), Brazil.
• 2020 Exchange student at the TUD Dresden, Institute of Photogrammetry and Remote Sensing, Germany.

Field of Activity

Research Interests

• Digital photogrammetry.
• Remote Sensing applied in monitoring water resources.
• UAV photogrammetry.
• Geometric corrections of different sensors.
• Geographical Information System (QGIS and ArcGIS).
• Python and deep learning models applied to water resources.
• Geosciences and geodesy.

Research Projects

• Since 2014: Geometric correction of orbital images of the Pantanal and surroundings with the use of control scenes.
• Since 2014: Geometric correction of orbital images of Mato Grosso do Sul.
• Since 2018: Mapping of native vegetation in Mato Grosso do Sul with machine learning techniques.

Extensions Projects

• IEEE/GRSS- Young Professionals & 17th ISPRS WG V/5 and Student Consortium SS 2018: UAV Photogrammetry and Machine Learning Applications - Emerging Trends and Challenges for Earth Observation.

Journal reviewer

• 2020 Boletim de Ciências Geodésicas.

Publications

Full papers published in periodicals

• Marcato Junior, J., Akiyama, T., Tommaselli, A., Moraes, M., Fernandes, V. (2020):   Calibração da Plataforma de um Sistema de Visão Omnidirecional composto por uma Câmara e um Espelho Cônico. RBC. Revista Brasileira de Cartografia (ONLINE), v. 72, p. 270-279.
• Akiyama, T., Marcato Junior, J., Goncalves, W., Bressan, P., Eltner, A., Binder, F., Singer, T. (2020): Deep learning applied to water segmentation. ISPRS Archives, XLIIII, p. 1189-1193.
• Batistoti, J., Marcato Junior, J., Ítavo, L., Matsubara, E., Gomes, E., Oliveira, B., Souza, M., Siqueira, H., Salgado Filho, G., Akiyama, T., Gonçalves, W., Liesenberg, V., Li, J., Dias, A. (2019): Estimating pasture biomass and canopy height in Brazilian Savanna using UAV photogrammetry. Remote Sensing, v.11, p.2447-2458.
• Akiyama, T., Marcato Junior, J., TommasellI, A. (2018): Geometrical Correction of CBERS-4/PAN Images with Generalized Models Using as Reference National System of Land Management Data. Anuário do Instituto de Geociências (UFRJ. IMPRESSO), v. 41, p. 358-368.

Complete papers published in congress annals

• Akiyama, T., Marcato Junior, J. (2019): Utilização de modelos rigorosos no processo de correção geométrica de imagens CBERS-4/PAN. In: 71ª Reunião Anual da SBPC, 2019, Campo Grande, Brazil. 71ª Reunião Anual da SBPC.
• Akiyama, T. (2018): Correção geométrica de imagens CBERS-4/PAN com modelos generalizados usando como referência dados do sistema nacional de gestão fundiária. In: Integra UFMS 2018, Campo Grande, Brazil. Integra UFMS 2018.