Special Issue "Advances in Active Remote Sensing of Forests"
Deadline for manuscript submissions: 31 October 2019
Prof. Heiko Balzter
School of Geography, Geology and the Environment, University of Leicester
Website | E-Mail
Interests: quantitative understanding of climate change; land use change impacts on ecosystem services; spatial-temporal patterns and processes; forest aboveground biomass; logging detection; fire monitoring; mapping tree disease outbreaks
Active remote sensing enables the acquisition of data independent of indirect illumination. The wide availability of Synthetic Aperture Radar (SAR), Light Detection and Ranging (LiDAR) and other active remote sensing techniques has led to a phenomenal growth in active remote sensing applications. One of the dominant research applications is in remote sensing of forests, because of their global significance for the carbon cycle, mitigation of climate change and biodiversity (gaining renewed global attention through the Paris Climate Agreement), as well as a wide range of essential ecosystem services for people. This technology has also enabled a much more detailed understanding of the 3D forest structure and its dynamics over time, including effects of tree diseases on forests, impacts of storm damage, forest fires and selective logging.
This Special Issue invites research papers describing cutting-edge research on active remote sensing of forests using any active remote sensing technology from any platform—be it tripod, drone, aircraft, satellite or any other. I wish to put together a journal issue that describes out-of-the-box approaches to the sensing of forest canopies at any scale, from leaves or needles to forest stands or national, continental or global scales. Research that integrates active with passive remote sensing approaches is also relevant. This Special Issue will be open access and will provide a compendium of novel and significant active remote sensing methods and applications.
Prof. Heiko Balzter
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 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.
- Synthetic Aperture Radar (SAR)
- active remote sensing
- forest biomass
- tree height
- vegetation structure