An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series

An Automated Method for Annual Cropland Mapping along the Season for Various Globally-Distributed Agrosystems Using High Spatial and Temporal Resolution Time Series

Cropland mapping relies heavily on field data for algorithm calibration, making it, in many cases, applicable only at the field campaign scale. While the recently launched Sentinel-2 satellite will be able to deliver time series over large regions, it will not really be compatible with the current m...

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Bibliographic Details
Main Authors: Nicolas Matton, Guadalupe Sepulcre Canto, François Waldner, Silvia Valero, David Morin, Jordi Inglada, Marcela Arias, Sophie Bontemps, Benjamin Koetz, Pierre Defourny
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Remote Sensing
Subjects:
agriculture monitoring
cropland
timeliness
high resolution time series
Sen2Agri
Sentinel-2
SPOT 4 (Take 5)
JECAM
Online Access:http://www.mdpi.com/2072-4292/7/10/13208

Internet

http://www.mdpi.com/2072-4292/7/10/13208

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