Next Article in Journal
Farmland Shelterbelt Age Mapping Using Landsat Time Series Images
Previous Article in Journal
Evaluation of Eight High-Resolution Gridded Precipitation Products in the Heihe River Basin, Northwest China
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 14
Issue 6
10.3390/rs14061459
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 thumb_up
...
Endorse textsms
...
Comment
Correction to Remote Sens. 2022, 14(3), 740.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022, 14, 740

by
José A. M. Demattê
1,*,
Ariane Francine da Silveira Paiva
1,
Raul Roberto Poppiel
1,
Nícolas Augusto Rosin
1,
Luis Fernando Chimelo Ruiz
1,
Fellipe Alcantara de Oliveira Mello
1,
Budiman Minasny
2,
Sabine Grunwald
3,
Yufeng Ge
4,
Eyal Ben Dor
5,
Asa Gholizadeh
6,
Cecile Gomez
7,
Sabine Chabrillat
8,9,
Nicolas Francos
5,
Shamsollah Ayoubi
10,
Dian Fiantis
11,
James Kobina Mensah Biney
6,
Changkun Wang
12,
Abdelaziz Belal
13,
Salman Naimi
10,
Najmeh Asgari Hafshejani
10,
Henrique Bellinaso
1,
Jean Michel Moura-Bueno
14 and
Nélida E. Q. Silvero
1add Show full author list remove Hide full author list
1
Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Avenue, 11, Piracicaba 13418-900, Brazil
2
School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
3
Soil and Water Sciences Department, University of Florida, 2181 McCarty Hall, P.O. Box 110290, Gainesville, FL 32611, USA
4
Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
5
Department of Geography, Porter School of Environmental and Earth Science, Faculty of Exact Science, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
6
Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, 16500 Prague, Czech Republic
7
Laboratoire d’Etude des Interactions entre Sol-Agrosystème-Hydrosystème, University of Montpellier, National Research Institute for Agriculture, Food and Environment, Institute of Research for Development, Montpellier SupAgro, 34060 Montpellier, France
8
Helmholtz Center Potsdam GFZ German Research Centre for Geosciences, Remote Sensing and Geoinformatics, Telegrafenberg, 14473 Potsdam, Germany
9
Institute of Soil Science, Germany Leibniz University Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany
10
Department of Soil Science, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran
11
Department of Soil Science, Faculty of Agriculture, Universitas Andalas, Padang 25163, Indonesia
12
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
13
Agriculture Application, Soil and Marine Division, National Authority for Remote Sensing and Space Sciences (NARSS), Alfmaskan, Cairo P.O. Box 1564, Egypt
14
Department of Agronomy, University of Cruz Alta, Highway Jacob Della Méa, km 5.6, Cruz Alta 98005-972, Brazil
 
add Show full affiliation list
 
remove Hide full affiliation list
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(6), 1459; https://doi.org/10.3390/rs14061459
Submission received: 23 February 2022 / Accepted: 1 March 2022 / Published: 18 March 2022
(This article belongs to the Topic Computational Intelligence in Remote Sensing)
Versions Notes
There was an error in the original publication [1] in ‘4.1. The Web Service Advantages and Limitations’, on page 18, in a sentence regarding Soil-Spec4GG. The sentence was incorrectly typed/inserted. The construction of the paragraph positioned the Soil-Spec in the wrong place, and gave a misinterpretation. The authors strongly state that Soil-Spec4GG is a confidently reliable project. Our idea in the texts was to emphasize the importance of this project, but our mistyping created the opposite. We humbly apologize and ratify that it was not an intentional error. We hope that this effort maintains the respect of the scientific community.
A correction has been made to 4.1. The Web Service Advantages and Limitations.
Replaced
“…other ongoing global spectral community efforts (e.g., Soil-Spec4GG) are more vertical with researchers subsuming people’s spectral data without a data sharing policy that fully acknowledges and credits the user’s labor and costs of field data collection”.
with
“Other global spectral communities are also making similar efforts as our work which will increase the spectroscopy efforts (e.g., Soil-Spec4GG). On the other side, there are vertical groups with researchers subsuming people’s spectral data without a data sharing policy that fully acknowledges and credits the user’s labor and costs of field data collection”.
Supplementary Materials, Table S1, indicated in the Materials and Methods.
Consider the following footnotes to this material:
The open access databases mentioned: Lucas and ICRAF are available in http://esdac.jrc.ec.europa.eu/content/lucas-2009-topsoil-data (accessed on 21 February 2022) and https://doi.org/10.34725/DVN/MFHA9C (accessed on 21 February 2022), respectively.
The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original publication has also been updated.

Reference

  1. Demattê, J.A.M.; Paiva, A.F.d.S.; Poppiel, R.R.; Rosin, N.A.; Ruiz, L.F.C.; Mello, F.A.d.O.; Minasny, B.; Grunwald, S.; Ge, Y.; Ben Dor, E.; et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022, 14, 740. [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

Demattê, J.A.M.; Paiva, A.F.d.S.; Poppiel, R.R.; Rosin, N.A.; Ruiz, L.F.C.; Mello, F.A.d.O.; Minasny, B.; Grunwald, S.; Ge, Y.; Dor, E.B.; et al. Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022, 14, 740. Remote Sens. 2022, 14, 1459. https://doi.org/10.3390/rs14061459

AMA Style

Demattê JAM, Paiva AFdS, Poppiel RR, Rosin NA, Ruiz LFC, Mello FAdO, Minasny B, Grunwald S, Ge Y, Dor EB, et al. Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022, 14, 740. Remote Sensing. 2022; 14(6):1459. https://doi.org/10.3390/rs14061459

Chicago/Turabian Style

Demattê, José A. M., Ariane Francine da Silveira Paiva, Raul Roberto Poppiel, Nícolas Augusto Rosin, Luis Fernando Chimelo Ruiz, Fellipe Alcantara de Oliveira Mello, Budiman Minasny, Sabine Grunwald, Yufeng Ge, Eyal Ben Dor, and et al. 2022. "Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022, 14, 740" Remote Sensing 14, no. 6: 1459. https://doi.org/10.3390/rs14061459

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