Emma Izquierdo-verdiguier
Senior Researcher at University of Natural Resources and Life Sciences, Vienna (BOKU)
Vienna, Austria
Summary
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Senior🎓
Top SchoolEmma Izquierdo-verdiguier is a Senior Researcher based in Vienna with a decade of experience developing machine learning and nonlinear feature extraction methods for remote sensing and land surface phenology. She has a PhD in Remote Sensing and a track record of turning academic research into practical toolboxes (Matlab) and cloud-native processing chains using Google Earth Engine (JavaScript/Python) for classifying high-resolution multispectral imagery. Her work spans spectral-spatial feature extraction, automatic object identification, and deploying scalable workflows in cloud environments, informed by early professional experience in photo-interpretation and GIS support. Known for bridging theory and application, she has repeatedly automated detection tasks such as plantation mapping from MSc to postdoc projects, demonstrating both algorithmic depth and operational delivery.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Remote Sensing, Doctor of Philosophy - PhD, Remote Sensing at University of Valencia
Github Skills (31)
google-earth-engine10
earth10
earth-engine10
gis8
catalog8
r-package7
geospatial7
geoserver7
stac7
open-datasets7
regression6
statistics6
geodata6
datasets6
classification6
Programming languages (4)
Github contributions (5)
EIzquierdo/GRRF-optimization
Aug 2021 - Dec 2022
Demo of the paper: "An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing"
Contributions:38 commits, 2 PRs, 8 pushes in 1 year 3 months
classificationregressionrandom-forestsensingevaluation
EIzquierdo/earthengine-community
Sep 2022 - Oct 2022
Tutorials and content created by Earth Engine users, for Earth Engine users
Contributions:4 pushes in 1 month
earthearth-engine
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