I am a Master’s student in Geoinformatics / Applied Earth Observation and Geoanalysis at the Julius-Maximilians-Universität Würzburg, with a background in meteorology, remote sensing, geospatial analysis, agriculture, climate risk, and environmental data science.
My work focuses on building reproducible geospatial workflows using satellite Earth observation, Python, R, GIS, cloud-based processing, and statistical modelling to support environmental and agricultural decision-making.
Flood mapping, disaster risk analysis, SAR backscatter change detection, and Google Earth Engine workflows. |
Vegetation indices, time-series analysis, crop and grassland monitoring, and LAI-based modelling. |
Climate variables, temperature interpolation, environmental health, and climate-sensitive disease dashboards. |
Raster-vector processing, administrative boundaries, spatial extraction, mapping, and geospatial automation. |
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Sentinel-1 SAR workflow for mapping flood-affected areas during the 2017 Coastal El Niño event in northern Peru. Tools: Google Earth Engine, Sentinel-1, SAR, Otsu thresholding, flood mapping 
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Cloud-based Sentinel-2 NDVI time-series analysis for vegetation monitoring in Borgo San Lorenzo, Italy. Tools: openEO, Sentinel-2, NDVI, ESA WorldCover, Python
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R Shiny dashboard connecting dengue, malaria, climate thresholds, PISCO, ERA5, and climatic sectors in Peru. Tools: R Shiny, Leaflet, climate data, environmental health, dashboards
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R package for geospatial climate analysis, spatial interpolation, and MODIS Land Surface Temperature processing. Tools: R package, IDW, MODIS LST, raster, climate analysis
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I am especially interested in the integration of remote sensing observations with process-based models, machine learning, and geospatial workflows for applications in:
- grassland biomass and vegetation productivity;
- satellite-derived LAI and NDVI time-series;
- agricultural monitoring and winter crop cover analysis;
- climate-sensitive disease risk;
- flood mapping and disaster-risk assessment;
- reproducible geospatial data science.
I am currently strengthening my portfolio around:
Remote Sensing + Geospatial Data Science + Agriculture + Climate Analytics