Next Article in Journal
Phase-Compensated Adaptive Filtering Method for UAV SAR Echo Enhancement
Previous Article in Journal
CrownViM: Context Clustering Meets Vision Mamba for Precise Tree Crown Segmentation in Aerial RGB Imagery
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 18
Issue 6
10.3390/rs18060861
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
Correction to Remote Sens. 2026, 18(2), 279.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Wang et al. Spatial Prediction of Soil Texture at the Field Scale Using Synthetic Images and Partitioning Strategies. Remote Sens. 2026, 18, 279

by
Yiang Wang
1,2,
Shinai Ma
1,
Shuai Bao
1,
Yuxin Ma
1,
Yan Zhang
1,
Dianyao Wang
3,
Yihan Ma
1 and
Huanjun Liu
1,*
1
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
College of Resources and Environmental Sciences, Northeast Agricultural University, Harbin 150030, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(6), 861; https://doi.org/10.3390/rs18060861
Submission received: 26 February 2026 / Accepted: 6 March 2026 / Published: 11 March 2026
Versions Notes

Additional Affiliation

Due to an oversight on behalf of the author, the affiliation of the first author was inadvertently omitted from the original publication [1]. The missing affiliation of the first author is University of Chinese Academy of Sciences, Beijing 100049, China, in addition to their primary affiliation State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China (the author list itself remains unchanged).
The first author’s academic status is with the University of Chinese Academy of Sciences, and undergoing training at a subordinate research institute. Therefore, this change does not harm the academic interests of others, nor does it violate academic ethics.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Wang, Y.; Ma, S.; Bao, S.; Ma, Y.; Zhang, Y.; Wang, D.; Ma, Y.; Liu, H. Spatial Prediction of Soil Texture at the Field Scale Using Synthetic Images and Partitioning Strategies. Remote Sens. 2026, 18, 279. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wang, Y.; Ma, S.; Bao, S.; Ma, Y.; Zhang, Y.; Wang, D.; Ma, Y.; Liu, H. Correction: Wang et al. Spatial Prediction of Soil Texture at the Field Scale Using Synthetic Images and Partitioning Strategies. Remote Sens. 2026, 18, 279. Remote Sens. 2026, 18, 861. https://doi.org/10.3390/rs18060861

AMA Style

Wang Y, Ma S, Bao S, Ma Y, Zhang Y, Wang D, Ma Y, Liu H. Correction: Wang et al. Spatial Prediction of Soil Texture at the Field Scale Using Synthetic Images and Partitioning Strategies. Remote Sens. 2026, 18, 279. Remote Sensing. 2026; 18(6):861. https://doi.org/10.3390/rs18060861

Chicago/Turabian Style

Wang, Yiang, Shinai Ma, Shuai Bao, Yuxin Ma, Yan Zhang, Dianyao Wang, Yihan Ma, and Huanjun Liu. 2026. "Correction: Wang et al. Spatial Prediction of Soil Texture at the Field Scale Using Synthetic Images and Partitioning Strategies. Remote Sens. 2026, 18, 279" Remote Sensing 18, no. 6: 861. https://doi.org/10.3390/rs18060861

APA Style

Wang, Y., Ma, S., Bao, S., Ma, Y., Zhang, Y., Wang, D., Ma, Y., & Liu, H. (2026). Correction: Wang et al. Spatial Prediction of Soil Texture at the Field Scale Using Synthetic Images and Partitioning Strategies. Remote Sens. 2026, 18, 279. Remote Sensing, 18(6), 861. https://doi.org/10.3390/rs18060861

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