Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2

	Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
	Bontemps, Sophie 1; Arias, Marcela 1; Cara, Cosmin 1; Dedieu, Gerard 1; Guzzonato, Eric 1; Hagolle, Olivier 1; Inglada, Jordi 1; Matton, Nicolas 1; Morin, David 1; Popescu, Ramona 1
刊名	REMOTE SENSING
	2015
卷号	7 期号:12 页码:395-413
关键词	agriculture monitoring satellite time series in situ data Sentinel-2 SPOT4 (Take 5) Landsat 8 JECAM GEOGLAM
通讯作者	Bontemps, S (reprint author), Catholic Univ Louvain, Earth & Life Inst, 2 Croix Sud Bte L7-05-16, B-1348 Louvain La Neuve, Belgium.
英文摘要	Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity for regional to global agriculture monitoring in terms of resolution (10-20 meter), revisit frequency (five days) and coverage (global). In this context, the European Space Agency launched in 2014 the "Sentinel-2 for Agriculture" project, which aims to prepare the exploitation of Sentinel-2 data for agriculture monitoring through the development of open source processing chains for relevant products. The project generated an unprecedented dataset, made of Sentinel-2 like time series and in situ data acquired in 2013 over 12 globally distributed sites. Earth Observation time series were mostly built on the SPOT4 (Take 5) data set, which was specifically designed to simulate Sentinel-2. They also included Landsat 8 and RapidEye imagery as complementary data sources. Images were pre-processed to Level 2A and the quality of the resulting time series was assessed. In situ data about cropland, crop type and biophysical variables were shared by site managers, most of them belonging to the Joint Experiment for Crop Assessment and Monitoring network. This data set allowed testing and comparing across sites the methodologies that will be at the core of the future "Sentinel-2 for Agriculture" system.
研究领域[WOS]	Remote Sensing
收录类别	SCI
语种	英语
WOS记录号	WOS:000367534000014
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38354]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Bontemps, Sophie 2.Matton, Nicolas 3.Sepulcre, Guadalupe 4.Defourny, Pierre] Catholic Univ Louvain, Earth & Life Inst, B-1348 Louvain La Neuve, Belgium 5.[Arias, Marcela 6.Dedieu, Gerard 7.Hagolle, Olivier 8.Inglada, Jordi 9.Morin, David 10.Valero, Silvia
推荐引用方式 GB/T 7714	Bontemps, Sophie,Arias, Marcela,Cara, Cosmin,et al. Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2[J]. REMOTE SENSING,2015,7(12):395-413.
APA	Bontemps, Sophie.,Arias, Marcela.,Cara, Cosmin.,Dedieu, Gerard.,Guzzonato, Eric.,...&Defourny, Pierre.(2015).Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2.REMOTE SENSING,7(12),395-413.
MLA	Bontemps, Sophie,et al."Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2".REMOTE SENSING 7.12(2015):395-413.