Yonatan Tarazona Coronel (BC10-B4B2-6427)

Curriculum Vitae

Identificação

Formação

	Grau	Classificação
2023/10/05 - 2026/10/05 Em curso	PhD (Doutoramento) Universidade de Coimbra, Portugal "Investigating the Atmospheric Impact of Disturbances in Tropical forest: A Study of Precipitation and Temperature Changes in post-fire landscapes" (TESE/DISSERTAÇÃO)
2018/09/01 - 2019/07/30 Concluído	Master universitario en Teledetección y Sistemas de Información Geográfica (Magister) Universitat Autònoma de Barcelona, Espanha "Mapping tropical forest disturbance using the PVts-ß approach and machine learning through Landsat and SAR time series" (TESE/DISSERTAÇÃO)
2009/03/01 - 2013/12/30 Concluído	Geographical Engineering (Bachelor) Universidad Nacional Mayor de San Marcos, Peru "Prediction of degraded lands through time series analysis using Enhanced Vegetation Index and soil surface temperature with MODIS images - Piura case study" (TESE/DISSERTAÇÃO)

Percurso profissional

	Categoria Profissional Instituição de acolhimento	Empregador
2023/10/05 - Atual	PhD student	Universidade de Coimbra, Portugal
	Universidade de Coimbra, Portugal

Produções

Artigo em revista

"Mapping deforestation using fractions indices and the non-seasonal PVts-ß detection approach". IEEE Geoscience and Remote Sensing Letters (2022): 1-1. http://dx.doi.org/10.1109/lgrs.2021.3137277.
10.1109/lgrs.2021.3137277
Yonatan Tarazona; Alaitz Zabala; Xavier Pons; Antoni Broquetas; Jakub Nowosad; Hamdi A. Zurqani. "Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-ß Non-Seasonal Detection Approach". Canadian Journal of Remote Sensing (2021): 1-20. https://doi.org/10.1080/07038992.2021.1941823.
10.1080/07038992.2021.1941823
"Monitoring tropical forest degradation using remote sensing. Challenges and opportunities in the Madre de Dios region, Peru". Remote Sensing Applications: Society and Environment (2020): http://dx.doi.org/10.1016/j.rsase.2020.100337.
10.1016/j.rsase.2020.100337
"Improving tropical deforestation detection through using photosynthetic vegetation time series – (PVts-ß)". Ecological Indicators (2018): https://doi.org/10.1016/j.ecolind.2018.07.012.
10.1016/j.ecolind.2018.07.012

Distinções

2019	Premio a la mejor tesis de master en el área de Teledetección en España. IEEE, Estados Unidos
2019	Una de las 4 mejores calificaciones del master en Teledetección y SIG en el período 2018/2019 en la Universidad Autónoma de Barcelona Universitat Autònoma de Barcelona, Espanha