Next Article in Journal
Effect of Solar-Cloud-Satellite Geometry on Land Surface Shortwave Radiation Derived from Remotely Sensed Data
Previous Article in Journal
Remote Sensing of Spatiotemporal Changes in Wetland Geomorphology Based on Type 2 Fuzzy Sets: A Case Study of Beidagang Wetland from 1975 to 2015
Article Menu
Issue 7 (July) cover image

Export Article

Erratum of Remote Sens. 2017, 9(5), 505.

Open AccessErratum
Remote Sens. 2017, 9(7), 692; doi:10.3390/rs9070692

Erratum: A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data. Remote Sens. 2017, 9, 505

1
Remote Sensing & Geoinformatics Department, Trier University, 54286 Trier, Germany
2
Department of Environmental Systems Science, ETH Zurich, 8092 Zurich, Switzerland
*
Author to whom correspondence should be addressed.
Academic Editor: Prasad S. Thenkabail
Received: 29 June 2017 / Revised: 30 June 2017 / Accepted: 30 June 2017 / Published: 5 July 2017
View Full-Text   |   Download PDF [178 KB, uploaded 5 July 2017]
Note: In lieu of an abstract, this is an excerpt from the first page.

Excerpt

Since Equation (2) has been rearranged incorrectly during preparation for this article [1], the authors would like to correct the relevant text of Section 3.4.3 as follows:[...] View Full-Text
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. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lamprecht, S.; Hill, A.; Stoffels, J.; Udelhoven, T. Erratum: A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data. Remote Sens. 2017, 9, 505. Remote Sens. 2017, 9, 692.

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top