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  • šŸ‘‹ Hi, Iā€™m @lukasValentin (Lukas Valentin Graf) - CTO at Terensis, a Swiss-based company with the mission to digitize agriculture - one hectare at a time
  • šŸ‘Øā€šŸŽ“ I hold a PhD degree in Crop Science from ETH Zurich for my work on landscape-scale estimation of winter wheat growth and development
  • šŸŒ± My work is all about crops and how a real added value can be created from satellite and geodata for agriculture
  • ā¤ļø I love Python and Linux and apply them for all kind of geo-spatial analysis
  • šŸ›°ļø To work with šŸŒ observation data I created the open-source Earth Observation Data Analysis Library (EOdal) together with Gregor Perich
  • šŸš² In my spare time I enjoy cycling in the beautiful Swiss landscape, ā›°ļø hiking and other outdoor activities such as ā›µ or šŸ§—ā€ā™‚ļø. I also like reading šŸ“– and writing āœļø
  • šŸ”— You can find me on LinkedIn or ResearchGate

Lukas Valentin Graf's Projects

demcert icon demcert

DEMCERT - A general purpose tool for modelling uncertainty on gridded spatial data using Gaussian random fields

dsen2 icon dsen2

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

eodal icon eodal

Earth Observation Data Analysis Library

eodal_tutorials icon eodal_tutorials

Tutorials and Success Stories to work with the Earth Observation Data Analysis Library EOdal

eopy icon eopy

Earth Observation Data Access, Management and Analysis

eoreader icon eoreader

Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and index in a sensor-agnostic way.

fcm icon fcm

Implements the Fuzzy c-Means Algorithm

gpflow icon gpflow

Gaussian processes in TensorFlow

imputets icon imputets

CRAN R Package: Time Series Missing Value Imputation

lai4sr icon lai4sr

Generating Leaf Area Index Data For Super-Resolution

obia4rtm icon obia4rtm

Object-Based Image Analysis Tools for Radiative Transfer Modeling

phenolopy icon phenolopy

Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.

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