Special Issue "Optimizing Forest Inventories with Remote Sensing Techniques"
A special issue of Forests (ISSN 1999-4907).
Deadline for manuscript submissions: closed (31 March 2017)
Mr. Christian Ginzler
Department of Landscape Dynamics, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zuercherstrasse 111, 8903, Birmensdorf, Switzerland
Website | E-Mail
Interests: Digital photogrammetry; remote sensing and its application to ecology; forest inventory techniques; image matching and 3D data analysis
Dr. Lars T. Waser
Swiss National Forest Inventory, Swiss Federal Research Institute WSL, Zuercherstr. 111, CH-8903 Birmensdorf, Switzerland
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Phone: +41 44 739 2292
Fax: +41 44 739 2215
Interests: national forest inventory; spatially estimating forest parameters; tree species; growing stock; change detection; biodiversity; LiDAR; airborne and spaceborne; image-matching; canopy height model; land cover/land use change
Knowledge on the state of forest ecosystems is important for evaluating ecosystem services ranging from resources and biodiversity to protection and recreation. Traditionally, forest attributes are collated in the framework of either sample-based terrestrial inventories or terrestrial descriptions of forest stands in the field. Due to the high cost of data collection, small inventories on a forest enterprise level is now particularly rare. However, recent advances in remote sensing technology has enabled provision of spatially explicit information covering large areas. Thus, forest inventories from enterprise level to national forest inventories and even up to global scales will benefit. Remote sensing supports data acquisition and results on all scales: Retrieving forest attributes on plot level (e.g. terrestrial laser scanning), reduction of estimation errors of forest attributes on strata level and enabling the mapping of forest attributes. With this Special Issue, we promote knowledge and strategies for an optimized combination of inventory field data with remote sensing technology. Thus, we encourage contributions from studies covering all fields and scales, including experimental, monitoring and modelling approaches.
Mr. Christian Ginzler
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
- Small area estimation
- Sample plots
- Forest management
- Forest information