Correction to: A satellite-based spatio-temporal machine learning model to reconstruct daily PM2.5concentrations across great Britain (Remote Sens. 2020, 12, 3803)

Rochelle Schneider; Ana M. Vicedo-Cabrera; Francesco Sera; Pierre Masselot; Massimo Stafoggia; Kees De Hoogh; Itai Kloog; Stefan Reis; Massimo Vieno; Antonio Gasparrini

doi:10.3390/rs13183588

Correction to: A satellite-based spatio-temporal machine learning model to reconstruct daily PM_2.5concentrations across great Britain (Remote Sens. 2020, 12, 3803)

Rochelle Schneider, Ana M. Vicedo-Cabrera, Francesco Sera, Pierre Masselot, Massimo Stafoggia, Kees De Hoogh, Itai Kloog, Stefan Reis, Massimo Vieno, Antonio Gasparrini

Department of Environmental, Geoinformatics and Urban Planning Sciences

Ben-Gurion University of the Negev

Research output: Contribution to journal › Comment/debate

Abstract

In the original article [1], there was a mistake in the legend for Figure 3-The legend contains wider colour ranges and it should be shorter. The correct legend appears below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.

Original language	American English
Article number	3588
Journal	Remote Sensing
Volume	13
Issue number	18
DOIs	https://doi.org/10.3390/rs13183588
State	Published - 1 Sep 2021

All Science Journal Classification (ASJC) codes

General Earth and Planetary Sciences

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10.3390/rs13183588

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Schneider, R., Vicedo-Cabrera, A. M., Sera, F., Masselot, P., Stafoggia, M., De Hoogh, K., Kloog, I., Reis, S., Vieno, M., & Gasparrini, A. (2021). Correction to: A satellite-based spatio-temporal machine learning model to reconstruct daily PM_2.5concentrations across great Britain (Remote Sens. 2020, 12, 3803). Remote Sensing, 13(18), Article 3588. https://doi.org/10.3390/rs13183588

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title = "Correction to: A satellite-based spatio-temporal machine learning model to reconstruct daily PM2.5concentrations across great Britain (Remote Sens. 2020, 12, 3803)",

abstract = "In the original article [1], there was a mistake in the legend for Figure 3-The legend contains wider colour ranges and it should be shorter. The correct legend appears below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.",

author = "Rochelle Schneider and Vicedo-Cabrera, {Ana M.} and Francesco Sera and Pierre Masselot and Massimo Stafoggia and {De Hoogh}, Kees and Itai Kloog and Stefan Reis and Massimo Vieno and Antonio Gasparrini",

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day = "1",

doi = "10.3390/rs13183588",

language = "American English",

volume = "13",

journal = "Remote Sensing",

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publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

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Schneider, R, Vicedo-Cabrera, AM, Sera, F, Masselot, P, Stafoggia, M, De Hoogh, K, Kloog, I, Reis, S, Vieno, M & Gasparrini, A 2021, 'Correction to: A satellite-based spatio-temporal machine learning model to reconstruct daily PM_2.5concentrations across great Britain (Remote Sens. 2020, 12, 3803)', Remote Sensing, vol. 13, no. 18, 3588. https://doi.org/10.3390/rs13183588

TY - JOUR

T1 - Correction to

T2 - A satellite-based spatio-temporal machine learning model to reconstruct daily PM2.5concentrations across great Britain (Remote Sens. 2020, 12, 3803)

AU - Schneider, Rochelle

AU - Vicedo-Cabrera, Ana M.

AU - Sera, Francesco

AU - Masselot, Pierre

AU - Stafoggia, Massimo

AU - De Hoogh, Kees

AU - Kloog, Itai

AU - Reis, Stefan

AU - Vieno, Massimo

AU - Gasparrini, Antonio

PY - 2021/9/1

Y1 - 2021/9/1

N2 - In the original article [1], there was a mistake in the legend for Figure 3-The legend contains wider colour ranges and it should be shorter. The correct legend appears below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.

AB - In the original article [1], there was a mistake in the legend for Figure 3-The legend contains wider colour ranges and it should be shorter. The correct legend appears below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.

UR - http://www.scopus.com/inward/record.url?scp=85115072901&partnerID=8YFLogxK

U2 - 10.3390/rs13183588

DO - 10.3390/rs13183588

M3 - Comment/debate

SN - 2072-4292

VL - 13

JO - Remote Sensing

JF - Remote Sensing

IS - 18

M1 - 3588

ER -

Correction to: A satellite-based spatio-temporal machine learning model to reconstruct daily PM_2.5concentrations across great Britain (Remote Sens. 2020, 12, 3803)

Abstract

All Science Journal Classification (ASJC) codes

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