Paulo Arévalo
Remote Sensing Research Scientist at Boston University
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolPaulo Arévalo is a Remote Sensing Research Scientist with 11 years of experience applying time-series remote sensing, machine learning, and high-performance geospatial computing to map land cover and quantify ecosystem change. Based in Boston, he plays a central role in the GLanCE project, producing 30 m global land cover and change datasets and delivering multi-terabyte archives to NASA LP-DAAC. He designs and optimizes scalable workflows in Google Earth Engine, GCP, Python and R to handle continental-scale Landsat and Sentinel time series, and has developed methods to overcome persistent cloud cover using multisensor fusion. His research has revealed substantially higher rates of deforestation fires in the Amazon and produced continuous biomass density maps across large portions of South America. Active in tropical regional studies, he combines algorithm development with field-focused applications—such as multi-decade mapping of Colombian dry forests and fire–forest loss interactions—to inform carbon accounting and land-management decisions.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.Sc.), Ecology, Bachelor of Science (B.Sc.), Ecology at Pontificia Universidad JaverianaDoctor of Philosophy (PhD), Geography, Doctor of Philosophy (PhD), Geography at Boston University
Spanish, English
Github Skills (28)
linear-models8
prediction-model8
ecology7
earth-engine6
earth6
google-earth-engine6
statsmodels5
data-science5
catalog5
machine-learning4
forecasting4
python4
gis3
open-datasets3
geoserver3
Programming languages (5)
Github contributions (5)
parevalo/workflow
Mar 2016 - Dec 2019
Contributions:423 commits, 241 pushes, 5 branches in 3 years 10 months
parevalo/parevalo.github.io
Nov 2015 - Nov 2021
Contributions:25 pushes, 1 branch in 6 years
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