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Remote Sensing
Volume 9
Issue 1
10.3390/rs9010095
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Article

Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series

by
Jordi Inglada
*,
Arthur Vincent
,
Marcela Arias
,
Benjamin Tardy
,
David Morin
and
Isabel Rodes
CESBIO, Université de Toulouse, CNES/CNRS/IRD/UPS, Toulouse, France
*
Author to whom correspondence should be addressed.
Academic Editors: Ioannis Gitas and Prasad S. Thenkabail
Remote Sens. 2017, 9(1), 95; https://doi.org/10.3390/rs9010095
Received: 16 December 2016 / Revised: 12 January 2017 / Accepted: 16 January 2017 / Published: 22 January 2017
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Abstract

A detailed and accurate knowledge of land cover is crucial for many scientific and operational applications, and as such, it has been identified as an Essential Climate Variable. This accurate knowledge needs frequent updates. This paper presents a methodology for the fully automatic production of land cover maps at country scale using high resolution optical image time series which is based on supervised classification and uses existing databases as reference data for training and validation. The originality of the approach resides in the use of all available image data, a simple pre-processing step leading to a homogeneous set of acquisition dates over the whole area and the use of a supervised classifier which is robust to errors in the reference data. The produced maps have a kappa coefficient of 0.86 with 17 land cover classes. The processing is efficient, allowing a fast delivery of the maps after the acquisition of the image data, does not need expensive field surveys for model calibration and validation, nor human operators for decision making, and uses open and freely available imagery. The land cover maps are provided with a confidence map which gives information at the pixel level about the expected quality of the result. View Full-Text
Keywords: land-cover; satellite image time series; Sentinel-2; Landsat-8; Random Forests land-cover; satellite image time series; Sentinel-2; Landsat-8; Random Forests
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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MDPI and ACS Style

Inglada, J.; Vincent, A.; Arias, M.; Tardy, B.; Morin, D.; Rodes, I. Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series. Remote Sens. 2017, 9, 95. https://doi.org/10.3390/rs9010095

AMA Style

Inglada J, Vincent A, Arias M, Tardy B, Morin D, Rodes I. Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series. Remote Sensing. 2017; 9(1):95. https://doi.org/10.3390/rs9010095

Chicago/Turabian Style

Inglada, Jordi, Arthur Vincent, Marcela Arias, Benjamin Tardy, David Morin, and Isabel Rodes. 2017. "Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series" Remote Sensing 9, no. 1: 95. https://doi.org/10.3390/rs9010095

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