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Correction: Wang, L., et al. Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. Remote Sensing 2019, 11(13), 1568

1
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
2
Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu 611731, China
3
Fenner School of Environment and Society, The Australian National University, Canberra, ACT 2601, Australia
4
Bushfire & Natural Hazards Cooperative Research Centre, Melbourne, VIC 3002, Australia
*
Authors to whom correspondence should be addressed.
Remote Sens. 2020, 12(2), 206; https://doi.org/10.3390/rs12020206
Received: 19 December 2019 / Accepted: 6 January 2020 / Published: 7 January 2020
(This article belongs to the Special Issue Remote Sensing and Image Processing for Fire Science and Management)
Note: In lieu of an abstract, this is an excerpt from the first page.

The authors wish to make the following corrections to this paper [1]: 1 [...] View Full-Text
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Wang, L.; Quan, X.; He, B.; Yebra, M.; Xing, M.; Liu, X. Correction: Wang, L., et al. Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. Remote Sensing 2019, 11(13), 1568. Remote Sens. 2020, 12, 206.

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