3D remote sensing for forests – progress and perspective

Published 14 June, 2022

Forests are dynamic systems that exhibit distinct vertical stratification, geographical variation and biological diversity. To disentangle and understand these complex features, managers and scientists rely on efficient and reliable assessments of forest resources across spatial scales. The rise of three-dimensional (3D) observation technology has changed the application potential of remote sensing of forests. 3D forest observations are now made via terrestrial, mobile, UAV and satellite platforms using both active and passive sensors. Initially, laser scanning (LS), or Lidar, was the main data source. Now, multispectral and panchromatic images from airborne or satellite platforms are increasingly applied, although the information that can be extracted is still limited, and not yet accurate enough for many research and management needs. Further development is required to improve the accuracy and reliability of the mensuration and the attributes estimated from these new technologies.

Topics covered:

This thematic series will cover a range of topics related to 3D remote sensing - from terrestrial to spaceborne platforms and active to passive sensors - and their application across diverse forested landscapes. Review papers summarizing past and ongoing progress, and original research papers reflecting recent developments are particularly welcome. These may include studies about thematic information extraction, new techniques for forest mensuration and new missions, as well as new algorithms and applications.

Submission deadline:

  • 31 October 2022

Submission instructions:

All articles in this issue will undergo the journal’s full peer-review process. Manuscripts should be formatted according to Forest Ecosystems Guide for Authors and be submitted through the online editorial system. Please ensure that you:

  • Select the correct collection title in Editorial Manager’s “additional information” tab
  • Mention in your covering letter that you want your manuscript to be considered for the thematic series 3D remote sensing for forests – progresses and perspectives

For further information, please contact the Managing Editor Dr. Li Hui (bjfulihui@gmail.com or lihui@bjfu.edu.cn).

Dr. Xinlian Liang

Wuhan University, China; Finnish Geospatial Research Institute, Finland. Email: xinlian_liang@hotmail.com

Dr. Yong Pang

Chinese Academy of Forestry, China. Email: pangy@ifrit.ac.cn

Dr. Qinghua Guo

Institute of Botany, Chinese Academy of Sciences, China. Email: qguo@ibcas.ac.cn

Dr. Huaguo Huang

Beijing Forestry University, China. Email: huaguo_huang@bjfu.edu.cn

Dr. Lin Cao

Nanjing Forestry University, China. Email: lincao@njfu.edu.cn

Dr. John Kershaw

University of New Brunswick, Canada. Email: kershaw@unb.ca

Dr. Manuela Hirschmugl

Joanneum Research, Austria. Email: manuela.hirschmugl@joanneum.at

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