Advertisement

Correction to: Integrating cross-sensor high spatial resolution satellite images to detect subtle forest vegetation change in the Purple Mountains, a national scenic spot in Nanjing, China

  • Fangyan Zhu
  • Wenjuan Shen
  • Jiaojiao Diao
  • Mingshi LiEmail author
  • Guang Zheng
Correction

Correction to: J. For. Res.  https://doi.org/10.1007/s11676-019-00978-x

The article “Integrating cross-sensor high spatial resolution satellite images to detect subtle forest vegetation change in the Purple Mountains, a national scenic spot in Nanjing, China”, written by Fangyan Zhu, Wenjuan Shen, Jiaojiao Diao, Mingshi Li and Guang Zheng, was originally published electronically on the publisher’s Internet portal (currently SpringerLink) on 14 May 2019 without open access.

With the author(s)’ decision to opt for Open Choice, the copyright of the article will be changed on 15 June 2019 to © The Author(s) 2019 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The original article has been corrected.

Notes

Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Fangyan Zhu
    • 1
  • Wenjuan Shen
    • 1
  • Jiaojiao Diao
    • 1
  • Mingshi Li
    • 1
    • 2
    Email author
  • Guang Zheng
    • 3
  1. 1.College of ForestryNanjing Forestry UniversityNanjingPeople’s Republic of China
  2. 2.Co-Innovation Center for Sustainable Forestry in Southern ChinaNanjing Forestry UniversityNanjingPeople’s Republic of China
  3. 3.Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System ScienceNanjing UniversityNanjingPeople’s Republic of China

Personalised recommendations