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 observation in 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

2018

• Kylli Ek, Eduardo Gonzalez (CSC): CSC computing resources for spatial analysis
• Kylli Ek, Eduardo Gonzalez (CSC): Zonal statistics exercise with Python in Taito
• Eevaliisa Laine, Riikka Valtonen (GTK): Rock fracture simulation
• Henrikki Tenkanen (Univeristy of Helsinki): Using cPouta cloud for distributed computing and transport routing using PostgreSQL
• Vuokko Heikinheimo, Elias Willberg, Henrikki Tenkanen (University of Helsinki): Using cPouta cloud for geoinformatics teaching
• Johanna Eklund (University of Helsinki): Advances in evaluating protected area effectiveness in avoiding forest loss
• Timo Pitkänen (LUKE): Modelling trees from terrestial forest lidar data with Matlab and R
• Juho Lappalainen (SYKE): Geocomputing in Species Distribution Modelling and Evaluation of Marine Protected Areas
• Juha Aalto (University of Helsinki / FMI): Fine-resolution modeling of Circum-Arctic ground thermal regime
• Ville Mäkinen (FGI): 1m DEM generation
• Jan Westerholm (Åbo Akademi): Clustering of satellite data using dynamic time warping on GPU and CPU
• Tapio Suominen (University of Turku): Remotely sensed spatio-temporal patterns of the Gulf of Bothnia
• Jasper Van doninck (University of Turku): Mining the Landsat archive for detecting spatial and temporal vegetation patterns in Amazonia
• Ulpu Leinonen (University of Turku): Satellite image processing in Google's cloud platform Earth Engine

2016

• Seija Sirkiä (CSC): Running parallel R jobs on Taito
• Kylli Ek (CSC): R spatial packages
• Kylli Ek (CSC): CSC HPC resources
• Eevaliisa Laine (GTK): High-performance geoscientific computing in multi-scale mineral potential studies"
• Peter Kullberg (University of Helsinki): Measuring protection equality (R, Taito)
• Markku Viitasalo (SYKE): Data-intensive surveys provide background for maritime spatial planning - VELMU and SmartSea projects (R, Taito)
• FGI: Interactive uncertainty analysis of catchment areas using cPouta could service for high-performance computations
• Henrikki Tenkanen (University of Helsinki): Using CSC resources in Open GeoScience and teaching (ArcPy, cPouta, Pouta BluePrints, Python)
• Jesús Carabaño (Åbo Akademi): From python scripting to parallel raster spatial analysis