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Erratum

Erratum: Kadhim, I.; Abed, F.M. The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England. ISPRS Int. J. Geo-Inf. 2021, 10, 41

1
Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn, Cornwall TR10 9FE, UK
2
College of Engineering, University of Baghdad, Baghdad 10001, Iraq
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2021, 10(8), 552; https://doi.org/10.3390/ijgi10080552
Submission received: 5 July 2021 / Accepted: 8 July 2021 / Published: 16 August 2021
The authors would like to make the following corrections to the published paper [1]. The changes are as follows:
Replacing the Acknowledgments:
The authors would like to thank the UK Centre for Ecology & Hydrology for providing LiDAR data. We are grateful to Ann Preston-Jones from Historic England, Trewern at Trehyllys Farm and Andrew Hitchings at Carn Farm for giving permission to undertake the experiment at Chun Castle. The Leica GS08 GNSS was supplied by the University of Exeter Environment and Sustainability Institute (ESI) DroneLab. We would also like to thank Karen Anderson and Andrew Cunliffe for flying a drone over the study site and for their comments on earlier version of this paper. Also, big thanks to English for Academic Purposes (EAP) tutors, Isabel Noon and Richard Little, from the University of Exeter for providing feedback on organization and flow of ideas of this Manuscript. Finally, special thanks to CARA for the studentship stipend.
With:
The authors would like to thank the UK Centre for Ecology & Hydrology for providing LiDAR data. We are grateful to Ann Preston-Jones from Historic England, Trewern at Trehyllys Farm and Andrew Hitchings at Carn Farm for giving permission to undertake the experiment at Chun Castle. The Leica GS08 GNSS was supplied by the University of Exeter, Environment and Sustainability Institute (ESI) DroneLab. We would also like to thank Karen Anderson and Andrew Cunliffe for contributions to conceptualization, methodology, data collection, data analyses, and writing. Moreover, big thanks to English for Academic Purposes (EAP) tutors, Isabel Noon and Richard Little, from the University of Exeter for providing feedback on the organization and flow of ideas of this manuscript. Finally, special thanks to the University of Exeter and CARA for the studentship stipend.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare no conflict of interest.

Reference

  1. Kadhim, I.; Abed, F.M. The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England. ISPRS Int. J. Geo-Inf. 2021, 10, 41. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Kadhim, I.; Abed, F.M. Erratum: Kadhim, I.; Abed, F.M. The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England. ISPRS Int. J. Geo-Inf. 2021, 10, 41. ISPRS Int. J. Geo-Inf. 2021, 10, 552. https://doi.org/10.3390/ijgi10080552

AMA Style

Kadhim I, Abed FM. Erratum: Kadhim, I.; Abed, F.M. The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England. ISPRS Int. J. Geo-Inf. 2021, 10, 41. ISPRS International Journal of Geo-Information. 2021; 10(8):552. https://doi.org/10.3390/ijgi10080552

Chicago/Turabian Style

Kadhim, Israa, and Fanar M. Abed. 2021. "Erratum: Kadhim, I.; Abed, F.M. The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England. ISPRS Int. J. Geo-Inf. 2021, 10, 41" ISPRS International Journal of Geo-Information 10, no. 8: 552. https://doi.org/10.3390/ijgi10080552

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