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Special Issue "Applications of LiDAR and Photogrammetry for Forest Inventory and Management"

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Quantitative Methods and Remote Sensing".

Deadline for manuscript submissions: 10 July 2019

Special Issue Editors

Guest Editor
Dr. Carlos Alberto Silva

1. Department of Geographical Sciences, University of Maryland, College Park, Maryland, MD 20740, United States of America
2. NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, United States of America
Website 1 | Website 2 | E-Mail
Interests: LiDAR (remote sensing); tropical forest structure and ecology; industrial forest plantations, algorithms and tools development, and forest inventory; data integration; change detection; fire ecology and fire behavior modeling
Guest Editor
Prof. Dr. Carine Klauberg

Federal University of São João Del Rei – UFSJ, Sete Lagoas, MG, -35701-970, Brazil
Website 1 | Website 2 | E-Mail
Interests: Forests and non-timber forest products; tropical forest ecology; remote sensing; LiDAR, forest inventory; wildfire, forest inventory; data integration; change detection; fire ecology and fire behavior modeling
Guest Editor
Dr. Justin Morgenroth

NZ School of Forestry, College of Engineering, University of Canterbury, Christchurch, New Zealand
Website | E-Mail
Interests: remote sensing; LiDAR; forest monitoring; urban forestry
Guest Editor
Dr. Ruben Valbuena

School of Natural Sciences, Bangor University, Bangor, UK
Website | E-Mail
Interests: forest ecology; remote sensing; LiDAR; forest inventory; tree size scaling theories; forest structure; competition and dominance; modelling; data fusion

Special Issue Information

Dear Colleagues,

Accurate and spatially explicit measurements of forest attributes are required in order to effectively protect, monitor, and manage forest ecosystems. LiDAR (Light Detection and Ranging) remote sensing has emerged as a technology that is well-suited for providing accurate estimates of forest attributes in a wide variety of forest ecosystems (natural forests, planted forests, and urban forests) at a variety of spatial scales. An enhanced understanding of a forest structure via LiDAR remote sensing can be gained through improved tools and optimized frameworks for data processing. The development of advanced tools and methods for 3D forest characterization and mapping from LiDAR remote sensing can facilitate the operationalization of LiDAR in a forest inventory, and therefore might improve the efficiency of various forest management activities.

The purpose of this Special Issue is to bring together state-of-the-art LiDAR and photogrammetry applications for both forest inventory and management in forest ecosystems. Review papers and research contributions are suitable. In particular, contributions covering the following sub-topics are welcome:

  • Individual tree segmentation and crown attribute estimation using LiDAR and photogrammetry data;
  • Machine learning or deep learning approaches for estimating forest structure attributes from LiDAR and photogrammetry data;
  • Fusion of LiDAR and optical remote sensing data for forest inventory and mapping;
  • Synergies among platforms (airborne, terrestrial, and spaceborne) for forest inventory and monitoring;
  • Advancements in tools and algorithms for photogrammetric restitution and LiDAR data processing and forest inventory.

Dr. Carlos Alberto Silva
Prof. Dr. Carine Klauberg
Dr. Justin Morgenroth
Dr. Ruben Valbuena
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • LiDAR systems
  • forest structure assessment
  • operational forest inventory
  • algorithms and tools
  • forest dynamics
  • data fusion
  • forest mensuration
  • forest monitoring

Published Papers

This special issue is now open for submission.
Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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