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Special Issue "Forest Biodiversity Conservation with Remote Sensing Techniques"

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: 30 September 2019

Special Issue Editors

Guest Editor
Prof. Dr. Nicholas Coops

Department of Forest Resources Management, The University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada
Website | E-Mail
Interests: Active and Passive remote sensing technologies for biodiversity assessment, Forest structure, species diversity and richness, Long Time Series Satellite Data, Dynamic Habitat Index
Guest Editor
Prof. Dr. Scott Nielsen

Department of Renewable Resources, University of Alberta, Edmonton, Alberta, T6G 2H1, Canada
Website | E-Mail
Phone: 1-780-492-1656
Interests: Conservation biology, biogeography, biodiversity, terrestrial ecology, habitat fragmentation, boreal forest, remote sensing applications in biodiversity and conservation

Special Issue Information

Dear Colleagues,

Mapping the distribution and abundance of species and the traits of their ecosystem is critical to understanding the patterns and trends we observe and for managing biodiversity values. Species respond across a range of scales and to a number of different factors, including among others climate, ecosystem productivity, habitat structure, and disturbance history. Since the launch of the first Earth Observation satellites over 40 years ago, remote sensing techniques have been applied to locating and mapping forest species’ habitat and for scaling up observations to assess threats and monitor change. Remote sensing offers obvious benefits to monitoring and managing biodiversity, including broad coverage, repeat monitoring, and a range of spectral and spatial resolutions that facilitate observations not possible from field-based surveys alone. As remote sensing technologies and techniques continue to evolve, their application to biodiversity conservation become even more relevant and integrated.

This Special Issue of Forests is focused on the assessment of forest biodiversity and conservation utilising remote sensing and Earth Observation technologies. Research articles may focus on any aspect of forest biodiversity and conservation using remote sensing approaches, including the prediction and monitoring of forest species, their environment and habitat, as well as conservation initiatives that utilise remote sensing technologies from local to global scales. We welcome contributions using a range of remote sensing platforms from hand-held mobile devices, unmanned aerial vehicles (UAVs) and aircraft, as well as satellite-based approaches

Prof. Dr. Nicholas Coops
Prof. Dr. Scott Nielsen
Guest Editors

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.

Keywords

  • forests
  • biodiversity
  • remote sensing
  • satellites
  • unmanned aerial vehicles (UAVs)
  • environment
  • monitoring
  • species
  • scale

Published Papers

This special issue is now open for submission.
Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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