Spatio-temporal variation and prediction of ecological quality based on remote sensing ecological index – a case study of Zhanjiang City, China
- 1Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing, China
- 2Institute of GIS, RS and GPS, Beijing Forestry University, Beijing, China
A Corrigendum on
Spatio-temporal variation and prediction of ecological quality based on remote sensing ecological index a case study of Zhanjiang City, China
by Wang J, Wang J and Xu J (2023) Front. Ecol. Evol. 11:1153342. doi: 10.3389/fevo.2023.1153342
In the published article, we did not include a Funding statement. The correct Funding statement appears below.
Funding
This work was supported by the Natural Science Foundation of China (grant number 42171329, 42071342) and the Fundamental Research Funds for the Beijing Natural Science Foundation Program (grant number 8222069, 8222052).
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: ecological environment quality, remote sensing ecological index, Zhanjiang City, forecast, impervious area balance
Citation: Wang J, Wang J and Xu J (2024) Corrigendum: Spatio-temporal variation and prediction of ecological quality based on remote sensing ecological index a case study of Zhanjiang City, China. Front. Ecol. Evol. 12:1378196. doi: 10.3389/fevo.2024.1378196
Received: 29 January 2024; Accepted: 30 January 2024;
Published: 14 February 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Wang, Wang and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jia Wang, d2FuZ2ppYTIwMDlAYmpmdS5lZHUuY24=