This study investigates the potential of unmanned aerial vehicles (UAVs) to measure and monitor structural properties of forests. Two remote sensing techniques, airborne laser scanning (ALS) and structure from motion (SfM) were tested to capture three-dimensional structural information from a small multi-rotor UAV platform. A case study is presented through the analysis of data collected…
Forests Template
Write in a clean editor, then format for Forests in one click — DocuGuru applies the official MDPI template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Forests format
Forests is a peer-reviewed journal published by MDPI, covering Forest ecology and management, Plant Water Relations and Carbon Dynamics, Forest Management and Policy. Over its lifetime it has published 16,260 papers, which have received 222,078 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Forests 2023, 12, 45–58.
Formats any DOI in Forests style. No sign-up. |
| Publishes research in | Forest ecology and management Plant Water Relations and Carbon Dynamics Forest Management and Policy Ecology and Vegetation Dynamics Studies Fire effects on ecosystems |
| ISSN | 1999-4907 |
| Citation impact (2-yr) | 3.29 |
| h-index | 115 |
| i10-index | 6,857 |
| Article processing charge | $2,165 |
| Open access | Yes |
| Top institutions publishing here | Nanjing Forestry University |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Forests per year
Citation impact of Forests by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Forests
Due to the various shapes, textures, and colors of fires, forest fire detection is a challenging task. The traditional image processing method relies heavily on manmade features, which is not universally applicable to all forest scenarios. In order to solve this problem, the deep learning technology is applied to learn and extract features of forest…
Assessing the potential for forest carbon (C) capture and storage requires accurate assessments of C in live tree tissues. In the vast majority of local, regional, and global assessments, C content has been assumed to be 50% of tree biomass; however, recent studies indicate that this assumption is not accurate, with substantial variation in C…
The recent development of operational small unmanned aerial systems (UASs) opens the door for their extensive use in forest mapping, as both the spatial and temporal resolution of UAS imagery better suit local-scale investigation than traditional remote sensing tools. This article focuses on the use of combined photogrammetry and “Structure from Motion” approaches in order…
Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities have made it feasible to obtain high-resolution imagery and three dimensional (3D) data which can be used for forest monitoring and assessing tree attributes. This study evaluates the applicability of low consumer grade cameras attached to UAVs and structure-from-motion (SfM) algorithm for automatic individual…