Abstract | ||
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Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. In 2014, the European Space Agency launched the Sentinel-2 for Agriculture project which aims at preparing the exploitation of Sentinel-2 data for agriculture monitoring through the development of an open source system able to generate relevant agricultural products. In order to meet this objective, the project carried out a benchmarking exercise to identify the best algorithms that will be in this system. For each product, a minimum of five algorithms were tested over 12 sites globally distributed. This paper gives a general overview of the project and presents in detail the benchmarking. |
Year | Venue | Keywords |
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2015 | 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | Sentinel-2, agriculture monitoring, GEOGLAM, algorithms development |
Field | DocType | ISSN |
Transparency (graphic),Time series,Food processing,Computer science,Remote sensing,Agriculture,Earth observation,Benchmark (computing),Benchmarking | Conference | 2153-6996 |
Citations | PageRank | References |
1 | 0.39 | 0 |
Authors | ||
14 |
Name | Order | Citations | PageRank |
---|---|---|---|
sophie bontemps | 1 | 89 | 7.42 |
Marcela Arias | 2 | 108 | 7.39 |
Cosmin Cara | 3 | 1 | 0.39 |
Gérard Dedieu | 4 | 149 | 30.83 |
Eric Guzzonato | 5 | 1 | 0.39 |
Olivier Hagolle | 6 | 177 | 24.29 |
Jordi Inglada | 7 | 426 | 43.13 |
David Morin | 8 | 1 | 0.72 |
thierry rabaute | 9 | 9 | 0.96 |
Mickael Savinaud | 10 | 15 | 2.19 |
Guadalupe Sepulcre | 11 | 1 | 0.39 |
Silvia Valero | 12 | 171 | 13.81 |
Pierre Defourny | 13 | 167 | 24.70 |
Koetz, B. | 14 | 136 | 16.05 |