"SENTINEL-2 FOR AGRICULTURE": SUPPORTING GLOBAL AGRICULTURE MONITORING

被引：0

作者：

Bontemps, S. ^{[1
]}

Arias, M. ^{[2
]}

Cara, C. ^{[3
]}

Dedieu, G. ^{[2
]}

Guzzonato, E. ^{[4
]}

Hagolle, O. ^{[2
]}

Inglada, J. ^{[2
]}

Morin, D. ^{[2
]}

Rabaute, T. ^{[4
]}

Savinaud, M. ^{[4
]}

Sepulcre, G. ^{[1
]}

Valero, S. ^{[2
]}

Defourny, P. ^{[1
]}

Koetz, B. ^{[5
]}

机构：

[1] UCLouvain, Geomat, Louvain, Belgium

[2] Ctr Etud Spatiales Biosphere CESBIO, Toulouse, France

[3] CS Romania, Bucharest, Romania

[4] CS Syst Informat, Bucharest, Romania

[5] European Space Agcy, European Space Res Inst, Rome, Italy

来源：

2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年

关键词：

Sentinel-2; agriculture monitoring; GEOGLAM; algorithms development;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：4185 / 4188

页数：4

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