Renata Pacheco Quevedo

Doutora em Sensoriamento Remoto pelo Instituto Nacional de Pesquisas Espaciais (INPE), atuou como pesquisadora visitante na Escuela Superior Politécnica del Litoral (ESPOL), no Equador. Geógrafa e Mestra em Sensoriamento Remoto e Geoprocessamento, ambos pela Universidade Federal do Rio Grande do Sul. Realizou intercâmbios acadêmicos nas Universidades Nacional de Cuyo (Argentina) e Autônoma de Madri (Espanha). Atualmente, sua pesquisa tem como foco a temática de Movimentos de Massa, realizando modelagem e mapeamento de áreas suscetíveis, a partir do uso de modelos de Aprendizado de Máquina (Random Forest, Geographical Random Forest, XGBoost, entre outros). Tem experiência com geoprocessamento, modelagem de áreas inundáveis no Rio Grande do Sul, expansão urbana em áreas suscetíveis a eventos extremos e análise relacionada a setores de vulnerabilidade, através da aplicação de Sensoriamento Remoto e Sistema de Informações Geográficas (SIG).

I am a PhD in Remote Sensing from the National Institute for Space Research, Brazil, and worked as a guest researcher at ESPOL Polytechnic University, Ecuador. My doctoral research was focused on the influence of land use and land cover (LULC) and spatial heterogeneity in landslide susceptibility. For that, I studied four landslide events that occurred in Brazil and Slovakia using machine learning algorithms. I am dedicating myself to learning about Machine Learning algorithms, landslide susceptibility modelling, LULC classification, coding in R, JavaScript (Google Earth Engine), and Python. I also like learning new languages: Portuguese (native speaker), Spanish (fluent), English (advanced), Italian (intermediate), French (beginner), and German (beginner). In my master's degree in Remote Sensing and Geoprocessing at the Federal University of Rio Grande do Sul (UFRGS), I studied landslide susceptibility modelling using artificial neural networks and random forest algorithms. I also analysed landslide conditioning factors derived from digital elevation models (DEM) and compared the models' performance according to different spatial resolution DEMs. During six months of my master's degree, I did an academic exchange at the Autonomous University of Madrid, Spain, where I studied subjects focused on GIS and disasters. During my undergraduate course in Geography at UFRGS, I collaborated on four research projects focused on flood and landslide susceptibility modelling, disaster vulnerability analysis, disaster risk reduction strategies, and disaster risk management. I also studied for six months at the National University of Cuyo, Argentina, where I studied environmental subjects such as "Análisis y Gestión de los Riesgos Naturales, Ambientales y Antrópicos" and "Problemas Ambientales de las Zonas Secas".