Special Issue "Using LiDAR and Optical Imagery to Map Forest Vegetation for Assessing Wildlife Habitat"
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 (31 January 2019)
Biodiversity offers a foundation to various ecosystem services (e.g., provisioning services, regulating services, culture services) that are critical to human beings. Tropical, temperate, and boreal forests serve a diverse set of habitats for wildlife, and, consequently, harbor the majority of terrestrial species. However, in recent decades, forest wildlife abundancy and diversity have been diminishing due to the threat caused by human activities and global climate change. The importance of conserving forest wildlife abundance and diversity has been increasingly recognized, and numerous efforts have been made to improve our understanding of forest wildlife behavior. Forest vegetation biophysical features and three-dimensional (3D) structures have been demonstrated to be valuable inputs for mapping wildlife distribution. Therefore, accurate and continuous mapping of these forest parameters are essential for assessing forest wildlife habitats. Light detection and ranging (LiDAR) can provide highly accurate 3D forest structures from individual-tree to forest-stand scales, and optical imagery contains abundant spectral and textural information for mapping vegetation types and bio-physiological parameters. The integration of these two datasets opens a new era for mapping forest vegetation, both vertically and horizontally, and, therefore, assessing and protecting wildlife habitats.
This Special Issue of Forests emphasizes forest vegetation mapping through the integration of LiDAR and optical imagery, and how it can be used to assess the quality of wildlife habitats. Research articles may focus on, but are not limited to, topics such as new approaches of forest vegetation mapping for wildlife habitat assessment based on LiDAR and/or optical data, data fusion algorithms on improving the vegetation mapping accuracy for wildlife habitat assessment, and addressing how the integration of LiDAR data and optical imagery affects the niche modelling and wildlife habitat assessment results. Application studies regarding forest biodiversity and wildlife habitat management and conservation with the help of LiDAR data and optical imagery are also welcome.
Prof. Qinghua Guo
Dr. Yanjun Su
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.
- aerial imagery
- multispectral imagery
- vegetation mapping
- wildlife habitat