Project Details
Description
MULTICO project produces an ecosystem for real-time monitoring and situational awareness in collaboration between Aalto University, VTT and several Finnish companies. The system utilizes sensor systesm, which are added to small satellites, multicopters (drones) or deployed by multicopters. The ecosystem provides new markets for the Finnish communication systems industry, strengthens the Finnish space industry and creates new business for the industry that utilises GIS materials.
MULTICO project produces a high-end-ecosystem, which provides clear competition for the participants in the international markets by fulfilling high criteria regarding information security, system reliability and performance. In the scientific perspective, MULTICO strengthens such knowledge and expertise, which is needed in this industrial area in Finland.
MULTICO ecosystem is mainly intended for civilian markets, but it is feasibly also for security use. Possible application areas include big industrial and logistic areas, urban environment, weather monitoring and forecasting, rescue operations, energy systems maintenance support, areal monitoring for agriculture and forestry, police and frontier guard operations and military use.
Project length is two years and it is managed by Aalto University.
MULTICO project produces a high-end-ecosystem, which provides clear competition for the participants in the international markets by fulfilling high criteria regarding information security, system reliability and performance. In the scientific perspective, MULTICO strengthens such knowledge and expertise, which is needed in this industrial area in Finland.
MULTICO ecosystem is mainly intended for civilian markets, but it is feasibly also for security use. Possible application areas include big industrial and logistic areas, urban environment, weather monitoring and forecasting, rescue operations, energy systems maintenance support, areal monitoring for agriculture and forestry, police and frontier guard operations and military use.
Project length is two years and it is managed by Aalto University.
| Acronym | MULTICO |
|---|---|
| Status | Finished |
| Effective start/end date | 1/04/20 → 30/10/22 |
Collaborative partners
- VTT Technical Research Centre of Finland
- Aalto University (lead)
- Huld Oy
- Small Data Garden Oy
- Nokia Solutions and Networks Oy
- Saab Finland Oy
- Iceye Oy
- DA-Group
- Nsion Oy
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 12 Responsible Consumption and Production
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SDG 15 Life on Land
Keywords
- New Space Economy
- sensors
- drones
- multicopters
- satellites
- real-time monitoring
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A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping With Multisensor Satellite Data
Ge, S., Gu, H., Su, W., Lönnqvist, A. & Antropov, O., 31 May 2023, In: IEEE Geoscience and Remote Sensing Letters. 20, 5 p., 2502705.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access7 Link opens in a new tab Citations (Scopus) -
Deep Learning Models in Forest Mapping Using Multitemporal SAR and Optical Satellite Data
Ge, S., Gu, H., Su, W., Praks, J., Lonnqvist, A. & Antropov, O., 28 Sept 2022, IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE Institute of Electrical and Electronic Engineers, p. 5688-5691 (IEEE International Geoscience and Remote Sensing Symposium Proceedings, Vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Improved LSTM Model for Boreal Forest Height Mapping Using Sentinel-1 Time Series
Ge, S., Su, W., Gu, H., Rauste, Y., Praks, J. & Antropov, O., 4 Nov 2022, In: Remote Sensing. 14, 21, 5560.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile15 Link opens in a new tab Citations (Scopus)131 Downloads (Pure)