Special Issue "Characterizing of the Structure and the Species Composition of Forest by Using Multiple Remote Sensing Data Sources or Inventory Approaches"
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: closed (30 November 2019).
Interests: biodiversity & conservation; forest ecology; forest management; silviculture
Interests: remote sensing; forest management and modelling; biogeography and conservation; global change
Special Issues and Collections in MDPI journals
The structure, species composition (occurrence and abundance) and productivity of forests and how they are explicit in time and space are key pieces of information for forest management.
Recent advances in remote sensing technologies allow us to capture large datasets on species-specific tree and stand attributes from multiple measurement systems. The new ways to analyze and process these datasets (e.g., novel machine learning algorithms) provide new insights necessary to generate spatially explicit information. This information has great value for nature conservationists as well as for forest managers that frequently require it to be displayed for large spatial extents.
In this Special Issue, the guest editors encourage the submission of current research that use data acquired with a variety of remote sensing technologies (airborne and terrestrial laser scanning (ALS/TLS), digital aerial photogrammetry (DAP), and high/very high spatial resolution (HSR/VHSR) satellite optical imagery) under different inventory approaches—the area-based approach (ABA) and the individual tree detection (ITD) approach—designed to characterize forest resource information for strategic, tactical, and operational planning. We would particularly welcome submissions on multi-sensor data fusion.
Dr. Marcos Barrio-Anta
Dr. Carlos A. Lopez-Sanchez
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.
- Forest Inventory
- Remote Sensing
- Multispectral and Hyperspectral Imagery
- Airborne and Terrestrial Laser Scanning
- Tree Species Composition
- Land Use and Land Cover (LULC)
- Structural Diversity
- Vertical Canopy Distributions
- Area-Based Approach (ABA)
- Individual Tree Detection (ITD)