Special Issue "Operationalization of Remote Sensing Solutions for Sustainable Forest Management"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".

Deadline for manuscript submissions: 31 August 2020.

Special Issue Editors

Prof. Dr. Gintautas Mozgeris
E-Mail Website
Guest Editor
Institute of Forest Management and Wood Science, Agriculture Academy, Vytautas Magnus University, Studentų g. 11, LT-53361 Akademija, Kaunas region, Lithuania
Interests: geographic information systems; photogrammetry and remote sensing with special focus on forestry; rural, urban, and hydrological applications; natural resource inventories and management planning; biodiversity assessment; land use change and habitat modelling; conservation planning; scenario development and forestry decision support systems;
Dr. Ivan Balenović
E-Mail Website
Guest Editor
Croatian Forest Research Institute, Division for Forest Management and Forestry Economics, Trnjanska cesta 35, HR-10000 Zagreb, Croatia
Interests: forest management; forest inventory; remote sensing; photogrammetry; lidar; geoinformation

Special Issue Information

A pre-requisite for sustainable management of natural resources is the availability of timely, cost-effective and comprehensive information of the condition and development trends of the specific resource. Remote sensing has always been an essential source of such information. Specifically, forestry has long benefited from these techniques: the literature on analytic algorithms for forest areas based on remotely sensing data is abundant. Nonetheless, the operational applicability of research results needs to be improved. Moreover, remote sensing researchers often seek purely academic objectives, lacking the support and quality guidance from practical forest management objectives. Thus, science-driven solutions for knowledge transfer between researchers and forest stakeholders/policy makers/end users are becoming increasingly important.

With this Special Issue, we aim at compiling research papers dealing both with remote sensing methodologies and the implementation of research results to facilitate sustainable forest management. The focus is placed on remotely sensed data, the development of algorithms for forest site characterization, wood characterization, biomass and CO2 stocking, mapping forest conditions, ecosystem vulnerabilities, socioeconomic functions and conditions, as well as on operationalization of remote sensing for natural resource management through the integration of scientific research and its practical utilisation. Overall, we call out for contributions combining remote sensing and any of the targets of the 2030 strategic research and innovation agenda for the forest based sector. Review contributions are also suitable for the Special Issue.

This special issue is linked with H2020 project MySustainableForest, however, contributions from other researchers are very welcome.

Prof. Dr. Gintautas Mozgeris
Dr. Ivan Balenović
Guest Editor

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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2000 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.

Keywords

  • Earth observation
  • forestry
  • characterization of forests
  • operationalization of remote sensing algorithms
  • knowledge transfer

Published Papers

This special issue is now open for submission.
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