James Wheeler

Remote Sensing Engineer at Solenix

Rome, Lazio, Italy
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Summary

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Senior
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Top School
James Wheeler is a Remote Sensing Engineer with 10 years' experience extracting biophysical parameters from SAR platforms (ALOS-PALSAR, Sentinel-1, TerraSAR-X) and complementary expertise in Sentinel-2 and Landsat optical data. He has a PhD in Geographic Information Science and a track record at ESA, the University of Leicester, and Solenix, where he builds open-source processing chains and works almost exclusively with freely available datasets and tools. His research spans forest-change mapping in the Congo Basin, soil moisture modelling linking in situ probes with Sentinel-1 backscatter/coherence, and large-scale burned-area and DInSAR analyses. Comfortable planning and executing field campaigns, he combines practical field experience with high-volume HPC processing and reproducible workflows. Based in Rome, he brings a pragmatic, research-driven approach to operational remote sensing and a preference for open science that makes results easy to reuse.
code10 years of coding experience
job9 years of employment as a software developer
bookSt. Columba's College
bookMSc, Geographical Information Systems and Remote Sensing, MSc, Geographical Information Systems and Remote Sensing at University College Cork
bookDoctor of Philosophy - PhD, Geographic Information Science, Doctor of Philosophy - PhD, Geographic Information Science at University of Leicester
bookBSc, Natural Sciences (Biology and Psychology), BSc, Natural Sciences (Biology and Psychology) at University of Durham
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Github Skills (19)

image10
segmentation10
earth-observation9
python9
sar9
satellite-imagery9
copernicus9
sentinel9
satellite-images8
deep-learning8
machine-learning8
geospatial8
preprocessing8
earth7
open-data7

Programming languages (4)

VueJavaScriptJupyter NotebookPython

Github contributions (5)

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jamesemwheeler/OSTParallel

Dec 2019 - Feb 2020

Open SAR Toolkit with SLCBatch class designed for parallel processing on a single multicore node
Contributions:2 PRs, 107 pushes, 2 branches in 2 months
multicoreparallel-processing
jamesemwheeler/iris

Mar 2020 - Mar 2020

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
Contributions:6 pushes, 3 branches in 2 days
spatial-imagerygeo-spatialsemi-automaticgeospatial
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