Next Article in Journal
Obtaining Urban Waterlogging Depths from Video Images Using Synthetic Image Data
Previous Article in Journal
Hierarchical Multi-View Semi-Supervised Learning for Very High-Resolution Remote Sensing Image Classification
Previous Article in Special Issue
Recognition of Water Colour Anomaly by Using Hue Angle and Sentinel 2 Image
Open AccessCorrection

Correction: Al-Kharusi, E.S., et al. Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data. Remote Sensing 2020, 12(1), p.157

1
Department of Physical Geography and Ecosystem Science, Lund University, Sölvegaten 12, 22362 Lund, Sweden
2
Centre for Environmental and Climate Research, Lund University, Sölvegatan 37, 22362 Lund, Sweden
3
Estonian Marine Institute, University of Tartu, Mäealuse 14, 12,618 Tallinn, Estonia
4
Department of Ecology and Environmental Sciences, Linnaeus väg 6, 90187 Umeå, Sweden
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(6), 1013; https://doi.org/10.3390/rs12061013
Received: 11 March 2020 / Accepted: 18 March 2020 / Published: 21 March 2020
(This article belongs to the Special Issue Remote Sensing of Inland Waters and Their Catchments)
Note: In lieu of an abstract, this is an excerpt from the first page.

The authors wish to make the following correction to Table 7 in this paper [...] View Full-Text
MDPI and ACS Style

Al-Kharusi, E.S.; Tenenbaum, D.E.; Abdi, A.M.; Kutser, T.; Karlsson, J.; Bergström, A.-K.; Berggren, M. Correction: Al-Kharusi, E.S., et al. Large-Scale Retrieval of Coloured Dissolved Organic Matter in Northern Lakes Using Sentinel-2 Data. Remote Sensing 2020, 12(1), p.157. Remote Sens. 2020, 12, 1013.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop