Earth Observation for Maritime Navigation
Sector: Seaport • Location: Cyprus, Italy, United Kingdom, Sweden, Anguilla, Norway, Denmark
Source: EU Funding & Tenders Portal
EONav presents an entirely new concept of combining space-based remote sensing observations which are offered by Copernicus with local maritime ship observations to aid maritime sail planning for fuel, emission and fatigue optimization. High fuel costs, consequences of delays in ship passages, reduction of SO2/CO2/NOx and similar emissions and other constraints are now putting more pressure on the
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | EONav presents an entirely new concept of combining space-based remote sensing observations which are offered by Copernicus with local maritime ship observations to aid maritime sail planning for fuel, emission and fatigue optimization. High fuel costs, consequences of delays in ship passages, reduction of SO2/CO2/NOx and similar emissions and other constraints are now putting more pressure on the maritime industry. Thus utilizing sea state, sea ice and AIS observations from space-based remote sensing, and particularly from Copernicus, allow the sea masters and planners to integrate more accurate and reliable observations to optimize their sail plan and thereby greatly increase profitability. This project is going to bring Copernicus remote sensing observations into sail planning tools with the objective of very significantly improve sail plan accuracy and reliability. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
