The RSWG directive is to
- Assess the status of the SIOS community’s satellite data requirements for Svalbard and the Arctic Ocean, and keep track of any relevant developments within the ESA-EC Copernicus programme;
- Assess the SIOS community’s needs for producing specific remotely-sensed data sets and decide which SIOS partners will be generating these data products;
- Work in step with the SIOS Data Management Service regarding the integration of the remotely-sensed data products in the SIOS web portal;
- Work with the appropriate agencies to promote Svalbard as a Cal/Val site;
- Serve as a forum where future research directions in Arctic satellite remote sensing are discussed.
The RSWG work programme for 2022
- Editing the SIOS special issue in the MDPI Remote Sensing journal (Deadline: 30th June 2022) to facilitate publications from SIOS activities (InfraNor, ACCESS programme, SIOS-SESS), and other remote sensing-based projects being conducted by SIOS members and international scientific community in Svalbard.
- Training course on Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) applications in Svalbard, 5-9 Sept. 2022
- Establishing EO and RS researcher forum
- Coordinating SIOS early data access call: Usability of airborne remote sensing data
- Copernicus relay activities, Copernicus user forum activities, facilitating outreach and training activities
- SIOS webinar series and online conference on EO and RS (Sept. 2022)
- Unified platform for satellite data availability for Svalbard
- Conducting annual surveys on user requirements and product inventory documents
Key achievements in 2021
- SIOS Training course on Hyperspectral Remote Sensing in Svalbard was conducted during 6-10 September 2021 in fully online mode.
- SIOS Online conference on EO, RS and GI applications in Svalbard was conducted during 8-10 June 2021 in fully online mode
- Supported scientific community during Covid-19 outbreak and resulting cancellations of field activities
- Continued the advisory service "Patch up your field data with remote sensing observations" to fill the data gaps occurred due to cancellation of field work in 2021
- Supported 13 airborne campaigns using Dornier and drones in 2021
- In 2021, RSWG gained 4 new working group members
- Recruited an early career researcher observer on the working group-2021
- Outreach and networking: SIOS RSS and RSWG activities were highlighted in on outreach/networking arenas e.g. EGU, ASSW, and Arctic Frontiers 2021
News from RSWG
Annual face to face meeting of the RSWG took place in Longyearbyen during Polar Night Week 2022 was converted into virtual meeting due to travel restrictions. Members discussed about the work programme of the year 2022 and how to fulfil it until the end of year.
Photo: RSWG meeting during Polar Night Week, 17th January 2019. Picture (from top left): Mari Anne Killie, Mikhail Itkin, Shridhar Jawak, Bo Andersen, Malgorzata Blaszczyk, Eirik Malnes, Anton Korosov, Veijo Pohjola, Vito Vitale
Presence of remote sensing working group and activities on international platforms
- SIOS remote sensing services to support an international multi-domain regional observing system for Svalbard, The 5th national Conference on Science & Geopolitics of Himalaya-Arctic-Antarctic (SaGHAA V), Theme: Technological Innovations and Research Expeditions, February 26-27, 2019, India International Centre, New Delhi, India.
- Svalbard science in times of pandemic: learned lessons, failed attempts, and efforts that worked, Svalbard Science Conference 2021, 2-3 November 2021, Scandic Fornebu, Oslo, Norway.
- SIOS’s response to COVID-19 and the strategy for future, ASSW-2021, 20-26 March 2021.
- SIOS’s airborne remote sensing campaigns in Svalbard , EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-9129, https://doi.org/10.5194/egusphere-egu21-9129, 2021.
- SIOS’s Earth Observation (EO) and Remote Sensing (RS) activities to optimize the long-term monitoring system in Svalbard, Arctic Frontier 2021, 01-04 February 2021, Tromsø, Norway. (Online event)
Associated task forces-2022
AI/ML/DL Training Course in Svalbard (AI Svalbard)-2022
- Ekaterina Kim - NTNU - Norwegian University of Science and Technology
- Jie Zhang - Uppsala University
- William Harcourt, Uni. of St. Andrews
- Sara Aparício, Solenix for ESA
- Shridhar Jawak, SIOS-KC