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Leandro Parente

Spatiotemporal Ensemble ML / High Performance Computing in Python
 https://gitlab.com/geoharmonizer_inea/eumap

Leandro is a post-doctoral researcher specialized in computer science and remote sensing.

Leandro obtained his doctoral degree in Environmental Sciences in 2019, and he has a background in business administration.

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All Sessions by Leandro Parente

  • Day 1

    June 13, 2022

  • 13:30  - 15:00
    Workshop room 1 - C221 What are the possibilities to improve the performance of computation in Python? Performing Numpy operations using multicore processing Accelerate python functions using Numba Fast numerical expression using NumExpr Using the TilingProcessing to distribute raster operations in multiple cores
    Big Data
    Software
    Training sessions

  • 15:30  - 17:00
    Workshop room 1 - C221 Introduction to JupyterLab and python libraries Introduction to spatiotemporal datasets, Theoretical background for spatial and spatiotemporal machine learning, Eumap library (gapfilling and mapper modules) Eumap spatiotemporal datasets example: landcover 2000-2020 training dataset (Witjes et al, 2021),
    Big Data
    Data Cubes
    Earth Observation
    Land cover
    Machine Learning
    Software
    Training sessions

  • Day 2

    June 14, 2022

  • 9:00  - 10:30
    Workshop room 1 - C221 Why STAC and Cloud-Optimized GeoTIFF (COG)? Generating COG files using GDAL Providing COG files through S3 protocol Accessing remote COG files in Python Publishing COG in STAC Accessing COG through STAC
    Big Data
    Earth Observation
    Training sessions




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Leandro Parente