Archive for April, 2023

Workshop (May 4th, 2023) on Self-supervised deep learning in EO-based forest inventory – ESA RepreSent project and Forest Thematic Exploitation Platform (F-TEP)

Thursday, April 27th, 2023

Deep learning (DL) and computer vision are rapidly gaining popularity in forest inventory. However, the scarcity of available reference data limits the effective use of DL tools. Self-supervised learning (SSL) and weakly-supervised learning aim to solve this bottleneck by enabling better utilization of available EO data to effectively train DL models.

We invite you to attend an online workshop, where we will present and discuss several deep learning models suitable for forest mapping with satellite remote sensing data, that were created within the ESA funded RepreSent project (2022-2023) on Representation learning for Copernicus Sentinel data. The developed models enable forest mapping and monitoring by significantly reducing the amount of reference data typically required for deep learning model training. A selected set of tools has also been implemented on Forestry TEP to facilitate the quick adoption of developed methodologies in the downstream sector and for potential use as benchmark methodologies.

The workshop targets AI4EO researchers who are interested in the forestry sector, as well as foresters who wish to explore the broader applications of DL and SSL in their academic research or operational forest management.

Please inform about your participation using this link https://forms.office.com/e/GFKbeZ29jQ

Participation to the workshop is free.

The online workshop will be organized on MS Teams, and further details will be sent to registered participants.

Preliminary agenda – the online workshop starts at 10 am EEST (Finland time zone), May 4th 2023

10:00 am (EEST) Welcome and ESA RepreSent project introduction Matthieu Molinier, Oleg Antropov, VTT, Corneliu Octavian Dumitru, DLR
10:05 Forest inventory using EO data Jukka Miettinen, Tuomas Häme, VTT
10:15 Self-supervised and weakly-supervised Learning in Earth Observation ESA Represent consortium
10:25

10min + 5min Q&A

MoCo & MAML models in forest mapping using Copernicus Sentinel-2 and Sentinel-1 data Lloyd Hughes, Marc Russwurm,

Devis Tuia, EPFL

10:40

10min +5 min Q&A

UNet+ models with multi-source EO data Oleg Antropov, VTT
10:55

10 min +5 min Q&A

DCVA approaches for forest change detection using Sentinel-2 images Ridvan Kuzu, DLR
11:10 Break (5 mn)
11:15

20 min +5 min Q&A

F-TEP introduction: Status and tools overview Jukka Miettinen, Renne Tergujeff, VTT
11:40

20 min + 5 min Q&A

F-TEP service demonstrations including SSL Lauri Seitsonen, VTT
12:05 F-TEP developer’s perspective Lauri Seitsonen, VTT
12:15 Concluding remarks Oleg Antropov, Matthieu Molinier, VTT

Please forward this invitation to your colleagues who might be interested in these topics.

We look forward to meeting you at the workshop.

Oleg Antropov, Matthieu Molinier, VTT and the ESA RepreSent team

Welcome to our May PhD-seminar in 2023

Wednesday, April 12th, 2023
  • When? May 5th 14.00 – 16.00
  • Where? D1172 – Växjö (link will provided for those who wants to attend online)
  • Registration: We would like to know how many that will attend onsite/online in order to get some fika for those onsite. So please register by May 3rd https://forms.gle/R1GuWXGXjiDYGWaQ6

Agenda
14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Title Data intensive applications and service development at Volvo CE – Joel Cramsky, Industry PhD-student Volvo CE
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Designing an Intelligent Predictive Maintenance Framework for Cyber-Physical Systems using Machine Learning and Digital Twin Technology – Mehdi Saman Azari, PhD student at LNU
15.50 -16.00 Sum up and plan for our next seminar on June 2nd

Abstracts

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Welcome to the Higher Research Seminar in Computer Science on April 21st

Thursday, April 6th, 2023

Professor Mauro Caporuscio will give a seminar on April 21st 14-15 at Linnaeus University about Green Software by Design. It is possible to attend the seminar either onsite or online. If you are interested in joining please send an email to diana.unander@lnu.se.

Abstract
Despite the media interest in sustainability, the public is still unaware that software, including digital assistants, cryptocurrencies, audio/video streaming services, finances, and games, are predicted to account for as much as 14% of the total worldwide carbon footprint in the next decade. Indeed, all software consumes electricity. In general, people think electricity is clean. Still, since most electricity is produced through burning fossil fuels (e.g., coal, oil, and natural gas), in practice, electricity is the single most significant cause of carbon emissions worldwide. Further, all the devices we use for running software (from our smartphones/computers to network appliances, and to cloud infrastructures) produce carbon when manufactured and disposed of (once they reach the end of life). The two most effective ways to reduce the carbon emissions of software are through Energy efficiency, and Hardware longevity. Unfortunately, current software development projects usually treat these concerns as an afterthought: a desirable quality to be considered if and only if other stakeholder- and economy-centered requirements (e.g., performance, business needs) have been successfully addressed. To face this unsustainable trend, we need a paradigm shift in the way we engineer and operate software systems. Indeed, the software shall be designed from the foundation to be green.

The aim of this talk is to bring these aspects to your attention and to hint at future research directions toward the reconciliation of three different and typically conflicting aspects: (1) efficiency: the ability to limit energy consumption, (2) longevity: the ability to live long and prevent hardware obsolescence, and (3) efficacy: the ability to meet the users’ expectations.