Temperate

I am currently a PhD candidate at the University of Stirling in Scotland, funded by the Natural Environmental Research Council through the IAPETUS DTP. My research focuses on using SAR Polarimetry to map and monitor floods in Scotland and Guyana. Additionally, I use ground radar to understand signal interactions under simulated flooding conditions, aiming to improve flood detection. My goal is to enhance the management and protection of floodplains and wetlands through advanced radar satellite technology and field-tested methodologies. Before my PhD, I worked as an assistant hydrologist at the SERVIR Eastern and Southern Africa project at the Regional Centre for Mapping of Resources for Development in Nairobi, Kenya, from 2019 to 2022. In this position, I led the development of an operational hydrological model that improved access to hydrological data for ungauged rivers in East Africa. I was also the lead hydrologist in the implementation of a flood early warning system in Malawi, integrating ground measurements and satellite-derived water level data to issue flood forecasts.

Margherita is an interdisciplinary Earth scientist and drone pilot with a background in geologic and environmental sciences. She has international experience working in fields such as Earth Observation (EO), remote sensing, drones & geospatial data analysis applied to the environmental and humanitarian sectors, sustainability and climate change. Margherita is passionate about natural and climate-related technologies that can be used to develop sustainable and long-lasting solutions. She is working for a more inclusive world (Women in Geospatial+), without any sort of geographical or social barriers. Keywords: Science communication, Climate Change, STEM, inclusivity, sustainability, nature, hydrosphere, hydrology, water risks, Earth Observation (EO), satellite data, flood modeling, vulnerability, resilience, lifelong learning  Region/Country mentioned: Temperate climates, Arid climates, Luxembourg, Niger  Relevant SDG targets: 1, 4, 6, 9, 11, 13, 17  

I am currently a PhD candidate at the University of Stirling in Scotland, funded by the Natural Environmental Research Council through the IAPETUS DTP. My research focuses on using SAR Polarimetry to map and monitor floods in Scotland and Guyana. Additionally, I use ground radar to understand signal interactions under simulated flooding conditions, aiming to improve flood detection. My goal is to enhance the management and protection of floodplains and wetlands through advanced radar satellite technology and field-tested methodologies. Before my PhD, I worked as an assistant hydrologist at the SERVIR Eastern and Southern Africa project at the Regional Centre for Mapping of Resources for Development in Nairobi, Kenya, from 2019 to 2022. In this position, I led the development of an operational hydrological model that improved access to hydrological data for ungauged rivers in East Africa. I was also the lead hydrologist in the implementation of a flood early warning system in Malawi, integrating ground measurements and satellite-derived water level data to issue flood forecasts.

Margherita is an interdisciplinary Earth scientist and drone pilot with a background in geologic and environmental sciences. She has international experience working in fields such as Earth Observation (EO), remote sensing, drones & geospatial data analysis applied to the environmental and humanitarian sectors, sustainability and climate change. Margherita is passionate about natural and climate-related technologies that can be used to develop sustainable and long-lasting solutions. She is working for a more inclusive world (Women in Geospatial+), without any sort of geographical or social barriers. Keywords: Science communication, Climate Change, STEM, inclusivity, sustainability, nature, hydrosphere, hydrology, water risks, Earth Observation (EO), satellite data, flood modeling, vulnerability, resilience, lifelong learning  Region/Country mentioned: Temperate climates, Arid climates, Luxembourg, Niger  Relevant SDG targets: 1, 4, 6, 9, 11, 13, 17