| publications-3381 |
Other |
2020 |
Vennesland, Audun; Haro, Peter Halland; Hanssen, B��rd Johan |
D4.4: Semantic Interoperability Design Requirements |
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10.5281/zenodo.4320418 |
Data Management & Analytics |
Precipitation & Ecological Systems |
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No abstract available |
820954 |
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| publications-3382 |
Other |
2021 |
F.Vuolo |
Curating a COALA data centre in earth observation |
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Data Management & Analytics |
Precipitation & Ecological Systems |
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No abstract available |
870518 |
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| publications-3383 |
Other |
2021 |
F. Vuolo |
The COALA Application Programming Interface |
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Data Management & Analytics |
Irrigation Systems |
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No abstract available |
870518 |
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| publications-3384 |
Other |
2020 |
F. Vuolo |
From big tape to Big data: How satellite entered the Digital Farming Age |
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Data Management & Analytics |
Irrigation Systems |
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No abstract available |
870518 |
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| publications-3385 |
Conference proceedings |
2021 |
Urso, G. D., De Michele, C., Francesco, V., Alfonso, C., Anna, O., Ryu, D., & Graciela, M |
Copernicus satellites for supporting irrigation and water management in Australia: the COALA H2020 Project |
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10.5194/egusphere-egu21-7379 |
Uncategorized |
Uncategorized |
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<p>COALA is a project funded by the Horizon 2020 program of the European Union with the aim of developing Copernicus Earth Observation-based information services for irrigation and nutrient management in Australia, building on consolidated experience of past EU projects and existing operational irrigation advisory services. Earth Observation-based services can provide &#8220;diagnostic&#8221; data and information relevant for integrated input management of irrigation water and nutrients, from subplot level to irrigation scheme or river basin levels.</p><p>COALA, started on January 2020, is developing Copernicus-based information service for the Australian agricultural systems, based on strong collaboration with Academic Australian institutions and business players. COALA services will provide to farmers, irrigation organisation and basin authorities information about crops development, water and nutrient status, irrigated areas by means of innovative algorithms based on Sentinel Earth Observation data, which will be accessed by means of the new cloud platforms (DIAS) of Copernicus. In-situ and other source of data, such as ground soil moisture probes, meteorological stations and Numerical Weather Prediction models, will be used to improve the information provided to the final users.</p><p>The advancements beyond the state of art of COALA methodologies for managing irrigation are:</p><p>COALA will demonstrate that Copernicus data and new DIAS infrastructure can greatly improve the availability of a multi-scale information product shared by the different levels of users. The innovative approach achieves a "converging loop procedure" between water authority, irrigation infrastructure operation and farmers, enabling transparency in all the decision taken at all levels and improving the accuracy of estimation of actual water use.</p><p><strong>https://www.coalaproject.eu/</strong></p> |
870518 |
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| publications-3386 |
Other |
2020 |
Teresa Fidélis |
A importância do planeamento e governação para a institucionalização da economia circular da água. |
INTELCITIES, Revista das Cidades Inteligentes |
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Uncategorized |
Uncategorized |
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No abstract available |
776816 |
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| publications-3387 |
Monographic books |
2021 |
Kristina Wencki et all |
The need for digital water in a green Europe - EU H2020 projects’ contribution to the implementation and strengthening of EU environmental policy |
The need for digital water in a green Europe |
10.2826/4352 |
Uncategorized |
Water Distribution Networks |
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No abstract available |
740610 |
|
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| publications-3388 |
Book chapters |
2021 |
Rita Ugarelli |
Cybersecurity Importance in the Water Sector and the Contribution of the STOP-IT Project |
Cyber-Physical Threat Intelligence for Critical Infrastructures Security: Securing Critical Infrastructures in Air Transport, Water, Gas, Healthcare, Finance and Industry |
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AI & Machine Learning |
Water Distribution Networks |
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No abstract available |
740610 |
|
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| publications-3389 |
Conference proceedings |
2021 |
Gustavo Gonzalez-Granadillo, Alejandro Bedoya, Rodrigo Diaz |
An Improved Live Anomaly Detection System (I-LADS) based on Deep Learning Algorithms |
Proceedings of the 18th International Conference on Security and Cryptography |
10.5220/0010573705680575 |
Data Management & Analytics |
Water Distribution Networks |
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No abstract available |
740610 |
|
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| publications-3390 |
Book chapters |
2021 |
Gustavo Gonzalez-Granadillo, Rodrigo Diaz, Theodora Karali, Juan Caubet, Ignasi Garcia-Milà |
Cyber-Physical Solutions for Real-time Detection, Analysis and Visualization at Operational Level in Water CIs |
Cyber-Physical Threat Intelligence for Critical Infrastructures Security: Securing Critical Infrastructures in Air Transport, Water, Gas, Healthcare, Finance and Industry |
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AI & Machine Learning |
Water Distribution Networks |
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No abstract available |
740610 |
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