Next Article in Journal
Potentials of Airborne Hyperspectral AVIRIS-NG Data in the Exploration of Base Metal Deposit—A Study in the Parts of Bhilwara, Rajasthan
Previous Article in Journal
A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Nguyen et al. Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sens. 2021, 13, 260

1
Faculty of Agriculture, Yamagata University, Tsuruoka 997-8555, Japan
2
Faculty of Science, Yamagata University, Yamagata 990-8560, Japan
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(11), 2100; https://doi.org/10.3390/rs13112100
Submission received: 23 March 2021 / Accepted: 25 April 2021 / Published: 27 May 2021
The authors wish to make the following corrections to this paper [1].
On page 1, line 5, bark beetle’s name “(Ips typographus)” should be “(Polygraphus proximus).
On page 10, line 8, the metric “Counting measure (cnt)” should be “Counting measure (cnt %)”.
On page 10, lines 10–11, the sentence “Consequently, negative values indicate that the algorithm underestimated the number of trees while positive values indicate overestimation” should be “Consequently, negative values indicate that the algorithm overestimated the number of trees, while positive values indicate underestimation”.
The authors would like to apologize for any inconvenience caused to the readers by these changes.

Reference

  1. Nguyen, H.T.; Lopez Caceres, M.L.; Moritake, K.; Kentsch, S.; Shu, H.; Diez, Y. Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sens. 2021, 13, 260. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Nguyen, H.T.; Caceres, M.L.L.; Moritake, K.; Kentsch, S.; Shu, H.; Diez, Y. Correction: Nguyen et al. Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sens. 2021, 13, 260. Remote Sens. 2021, 13, 2100. https://doi.org/10.3390/rs13112100

AMA Style

Nguyen HT, Caceres MLL, Moritake K, Kentsch S, Shu H, Diez Y. Correction: Nguyen et al. Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sens. 2021, 13, 260. Remote Sensing. 2021; 13(11):2100. https://doi.org/10.3390/rs13112100

Chicago/Turabian Style

Nguyen, Ha Trang, Maximo Larry Lopez Caceres, Koma Moritake, Sarah Kentsch, Hase Shu, and Yago Diez. 2021. "Correction: Nguyen et al. Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sens. 2021, 13, 260" Remote Sensing 13, no. 11: 2100. https://doi.org/10.3390/rs13112100

APA Style

Nguyen, H. T., Caceres, M. L. L., Moritake, K., Kentsch, S., Shu, H., & Diez, Y. (2021). Correction: Nguyen et al. Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sens. 2021, 13, 260. Remote Sensing, 13(11), 2100. https://doi.org/10.3390/rs13112100

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop