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Correction of Remote Sens. 2013, 5(4), 1704-1733.

Open AccessCorrection
Remote Sens. 2013, 5(11), 5572-5573; doi:10.3390/rs5115572

Correction: Rembold, F.; Atzberger, C.; Savin, I.; Rojas, O. Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection. Remote Sens. 2013, 5, 1704-1733

1
Institute for Environment and Sustainability, Joint Research Centre (JRC), European Commission, Via Fermi 2749, I-21027 Ispra (VA), Italy
2
Institute for Surveying, Remote Sensing and Land Information, University of Natural Resources and Life Sciences (BOKU), Vienna, Peter Jordan Strasse 82, A-1190 Vienna, Austria
3
Dokuchaev Soil Science Institute, Pyzhevsky per. 7, Moscow 117019, Russia
4
Food and Agriculture Organization of the United Nations (FAO), Natural Resources Management and Environment Department, Via Terme di Caracalla 1, I-00600 Rome, Italy
*
Author to whom correspondence should be addressed.
Received: 25 October 2013 / Accepted: 25 October 2013 / Published: 28 October 2013
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Note: In lieu of an abstract, this is an excerpt from the first page.

Excerpt

Due to an oversight by the authors, in the upper graph in Figure 4 [1] only the determination coefficients for Morocco are correct. Those for the other three countries are wrong. [...]
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Rembold, F.; Atzberger, C.; Savin, I.; Rojas, O. Correction: Rembold, F.; Atzberger, C.; Savin, I.; Rojas, O. Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection. Remote Sens. 2013, 5, 1704-1733. Remote Sens. 2013, 5, 5572-5573.

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