# Geocomputing seminars


## LUMI supercomputer for geospatial companies (2025)

* Kylli Ek, Jyrki Savolainen, Katri Tegel, CSC: [slides](https://webinars.a3s.fi/2025-09-04-lumi-supercomputer-for-geospatial-companies.pdf), [video](https://video.csc.fi/media/t/0_91jtaebg)
   * From 2023 similar seminar: Tapio Friberg, ICEYE, [ICEYE LUMI usecase](https://gis-seminars.a3s.fi/2023-06-08-lumi-for-gis-iceye-use-case.pdf)

## Machine Learning with spatial data seminar (2024)

* Samantha Wittke, CSC: [Intro & Welcome](https://gis-seminars.a3s.fi/2024-02-27/GeoML_seminar_intro.pdf)
* Mats Sjöberg, CSC: [Intro to ML at CSC](https://a3s.fi/mats/ml-tools-csc.pdf)
* Janne Mäyrä, SYKE: [geo2ml: python package for converting geospatial data to ML](https://gis-seminars.a3s.fi/2024-02-27/JanneMayra_SYKE.html)
* Mohammad Imangholiloo, UHEL: [A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings](https://gis-seminars.a3s.fi/2024-02-27/Imangholiloo_UHEL.pdf)
* Parvez Rana, LUKE: [3-D modeling of biodiversity and ecosystem services](https://gis-seminars.a3s.fi/2024-02-27/RanaParvez_LUKE.pdf)
* Pyry Kettunen, FGI: [Vector ML - case Gaze-Aware Interactive Map System](https://gis-seminars.a3s.fi/2024-02-27/PyryKettunen_FGI.pdf)
* Jorma Laaksonen, Aalto: [Hyperspectral superresolution and multi-image fusion for remote sensing forest studies](https://gis-seminars.a3s.fi/2024-02-27/JormaLaaksonen_Aalto.pdf)
* Emma Turkulainen, FGI: [Monitoring Bark Beetle Damage: Technical Insights into UAS Image Classification with Deep Neural Networks](https://gis-seminars.a3s.fi/2024-02-27/EmmaTurkulainen_FGI.pdf)
* Andras Balazs, LUKE: [Predicting tree species specific growing stock using ALS point clouds and a 3D-Convolutional Neural Network](https://gis-seminars.a3s.fi/2024-02-27/AndrasBalazs_LUKE.pdf)
* Jere Raninen, FGI: [Building detection from Lidar data using 3DUNet](https://gis-seminars.a3s.fi/2024-02-27/JereRaninen_NLS.pdf)
* Emilia Hattula, FGI: [How the diversity of training data improves the 2D UNet building detection](https://gis-seminars.a3s.fi/2024-02-27/EmiliaHattula_NLS.pdf)
* [Questions and discussion](https://gis-seminars.a3s.fi/2024-02-27/GeoML_seminar_2024_questions_discussion.pdf)

## CSC and GeoPortti services for research using spatial data (2022)

* Samantha Wittke, CSC: [CSC services introduction for new users](http://a3s.fi/gis-workshops/spatial_puhti_2022/Viikki_22.html).
* Lassi Lehto, MML/FGI: [What data is available from GeoPortti Geocubes and how can I use it?](https://a3s.fi/gis-workshops/spatial_puhti_2022/GeoCubes-Lehto-20221214.pdf)
* Arttu Kivimäki, MML/FGI: [How to utilize Sentinel-2 data of Finland from CSC Allas object storage](https://a3s.fi/gis-workshops/spatial_puhti_2022/Sentinel2_Data_Allas.pdf)
* Kylli Ek, CSC: [Using Paituli data in Puhti supercomputer](https://a3s.fi/gis-workshops/spatial_puhti_2022/Paituli_eng_221207.pdf).
* Kylli Ek, CSC: [Finding data of specific time and area using STAC](https://github.com/csc-training/geocomputing/tree/master/python/STAC)
* Hands-on/demo Puhti web interface
    * What is the [Puhti web interface](https://www.puhti.csc.fi/) and what can I use it for?
    * R usecase: RStudio
        * [Using Paituli data and a basic batch job](https://github.com/csc-training/geocomputing/tree/master/R/puhti).
        * [Using virtual rasters with R](https://github.com/csc-training/geocomputing/blob/master/R/virtual_rasters.R)
    * Python usecase: Jupyter
        * [Using data from STAC with Python](https://github.com/csc-training/geocomputing/tree/master/python/STAC)
* [Archived questions and answers from the workshop](https://a3s.fi/gis-workshops/spatial_puhti_2022/HedgeDoc_spatialCSC22.html)

## Earth observation in CSC computing environment (2022)

* Eetu Jutila, SYKE: Samantha Wittke (CSC: [Getting started using EO data](https://a3s.fi/gis-workshops/22_EO_workshop/eo_workshop_intro.pdf)
* Mwaba Hiltunen, FMI: [Access to Copernicus data from the Finnish Data Hub](https://a3s.fi/gis-workshops/22_EO_workshop/hiltunen_finhub.pdf)
* Markus Törmä, SYKE: [Availability of (almost) analysis ready satellite image mosaics](https://a3s.fi/gis-workshops/22_EO_workshop/torma_s2_mosaics.pdf)
* Lassi Lehto, FGI/NLS: [GeoCubes Finland - a multiresolution datacube for cloud-based provision of raster geodata](https://a3s.fi/gis-workshops/22_EO_workshop/lehto_geocubes.pdf)
* Samantha Wittke, CSC: [CSC resources for EO data processing and storage](https://a3s.fi/gis-workshops/22_EO_workshop/wittke_eo_at_csc.pdf)
* Arttu Kivimäki, FGI/NLS: [Mosaicking Sentinel-2 data in Puhti](https://a3s.fi/gis-workshops/22_EO_workshop/kivimaki_sen2mosaic.pdf)
* Eetu Jutila, SYKE: [Experiences in processing Sentinel-1 data with SNAP and analyzing land cover changes in Puhti](https://a3s.fi/gis-workshops/22_EO_workshop/jutila_sentinel1_and_land_cover_changes.pdf)
* Maria Yli-Heikkilä, LUKE: [EO for agricultural statistics](https://a3s.fi/gis-workshops/22_EO_workshop/yli-heikkila-eo-for-agri-statistics.pdf)
* Mikko Impiö, SYKE: [Modern machine learning for land cover classification](https://a3s.fi/gis-workshops/22_EO_workshop/impio_ml_in_land_cover_classification.pdf)

## Point cloud research in CSC computing environment (2022)

* Kylli Ek, Samantha Wittke, CSC: [Introduction to CSC computing environments and point cloud data and software available at CSC supercomputer Puhti](https://a3s.fi/gis-workshops/2022_point_cloud_workshop/csc_point_cloud_seminar_intro.pdf)
* Tuomas Yrttimaa, UEF: [Matlab and Puhti as tools for processing terrestrial laser scanning data](https://a3s.fi/gis-workshops/2022_point_cloud_workshop/yrttimaa_tls_matlab.pdf)
* Jon Atherton, University of Helsinki: [Optical sensing and 4D modelling of plant ecophysiological traits](https://a3s.fi/gis-workshops/2022_point_cloud_workshop/atherton_4d_modeling_odm.pdf)
* Jiri Pyörälä, University of Helsinki, NLS/FGI: [Experiences with PCLpy on Puhti](https://a3s.fi/gis-workshops/2022_point_cloud_workshop/pyorala_pclpy.pdf)
* Timo Pitkänen, LUKE: [Constructing forest trees from laser scanning points - automatized analyses using Matlab and R](https://a3s.fi/gis-workshops/2022_point_cloud_workshop/pitkanen_r_matlab.pdf)
* Ville Tuominen, LUKE: [Using Agisoft Metashape in cPouta virtual machine](https://a3s.fi/gis-workshops/2022_point_cloud_workshop/tuominen_agisoft_metashape_in_cpouta.pdf)
* [Discussion notes](https://hackmd.io/@GeospatialCSC/pointcloud_workshop)
