Geocomputing seminars

Machine Learning with spatial data seminar (2024)

• Samantha Wittke, CSC: Intro & Welcome
• Mats Sjöberg, CSC: Intro to ML at CSC
• Janne Mäyrä, SYKE: geo2ml: python package for converting geospatial data to ML
• Mohammad Imangholiloo, UHEL: A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings
• Parvez Rana, LUKE: 3-D modeling of biodiversity and ecosystem services
• Pyry Kettunen, FGI: Vector ML - case Gaze-Aware Interactive Map System
• Jorma Laaksonen, Aalto: Hyperspectral superresolution and multi-image fusion for remote sensing forest studies
• Emma Turkulainen, FGI: Monitoring Bark Beetle Damage: Technical Insights into UAS Image Classification with Deep Neural Networks
• Andras Balazs, LUKE: Predicting tree species specific growing stock using ALS point clouds and a 3D-Convolutional Neural Network
• Jere Raninen, FGI: Building detection from Lidar data using 3DUNet
• Emilia Hattula, FGI: How the diversity of training data improves the 2D UNet building detection
• Questions and discussion

LUMI supercomputer for geospatial companies (2023)

• Samantha Wittke, Markus Koskela, Juhani Huttunune, CSC, Geocomputing in LUMI and access options for companies
• Tapio Friberg, ICEYE, ICEYE LUMI usecase

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

• Samantha Wittke, CSC: CSC services introduction for new users.
• Lassi Lehto, MML/FGI: What data is available from GeoPortti Geocubes and how can I use it?
• Arttu Kivimäki, MML/FGI: How to utilize Sentinel-2 data of Finland from CSC Allas object storage
• Kylli Ek, CSC: Using Paituli data in Puhti supercomputer.
• Kylli Ek, CSC: Finding data of specific time and area using STAC
• Hands-on/demo Puhti web interface
  • What is the Puhti web interface and what can I use it for?
  • R usecase: RStudio
    • Using Paituli data and a basic batch job.
    • Using virtual rasters with R
  • Python usecase: Jupyter
    • Using data from STAC with Python
• Archived questions and answers from the workshop

Earth observationin CSC computing environment (2022)

• Eetu Jutila, SYKE: Samantha Wittke (CSC: Getting started using EO data
• Mwaba Hiltunen, FMI: Access to Copernicus data from the Finnish Data Hub
• Markus Törmä, SYKE: Availability of (almost) analysis ready satellite image mosaics
• Lassi Lehto, FGI/NLS: GeoCubes Finland - a multiresolution datacube for cloud-based provision of raster geodata
• Samantha Wittke, CSC: CSC resources for EO data processing and storage
• Arttu Kivimäki, FGI/NLS: Mosaicking Sentinel-2 data in Puhti
• Eetu Jutila, SYKE: Experiences in processing Sentinel-1 data with SNAP and analyzing land cover changes in Puhti
• Maria Yli-Heikkilä, LUKE: EO for agricultural statistics
• Mikko Impiö, SYKE: Modern machine learning for land cover classification

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
• Tuomas Yrttimaa, UEF: Matlab and Puhti as tools for processing terrestrial laser scanning data
• Jon Atherton, University of Helsinki: Optical sensing and 4D modelling of plant ecophysiological traits
• Jiri Pyörälä, University of Helsinki, NLS/FGI: Experiences with PCLpy on Puhti
• Timo Pitkänen, LUKE: Constructing forest trees from laser scanning points - automatized analyses using Matlab and R
• Ville Tuominen, LUKE: Using Agisoft Metashape in cPouta virtual machine
• Discussion notes

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