Special Issue "Advances in Remote Sensing of Forest Structure and Applications"
Deadline for manuscript submissions: closed (31 October 2018)
Dr. Wenge Ni-Meister
Department of Geography, Hunter College City University of New York, New York, NY, USA
Interests: terrestrial ecosystem structure characterization from LiDAR remote sensing, modeling of terrestrial ecosystem dynamics
Vegetation structure plays a critical role for ecosystem processes, functions, traits and carbon estimates. Significant progress has been made on vegetation structure extraction from spaceborne, airborne and ground-based remote sensing measurements. Remote sensing data such as multispectral, radar, lidar, or combinations of multiple datasets continue to be used extensively to increase the robustness of forest structure extraction for different applications. More innovative research is required to fuse accurate but spatially limited estimates of biophysical parameters derived from lidar with passive optical or radar imaging data to develop high quality wall-to-wall vegetation structure and above-ground biomass maps with higher accuracy and spatial resolution. This Special Issue seeks to synthesize and advance our current understanding on forest structure extraction and its applications using various remote sensing data. It welcomes studies of using vegetation structure to produce rigorous estimates of forest biomass and carbon statistics (mean, error, uncertainty) at different scales (e.g., pixels, stands, regions). Innovative research to extract vegetation structure using Unmanned Aerial Vehicle (UAS)- and photogrammetry-based 3D mapping will also be considered.
Dr. Wenge Ni-Meister
Dr. Qi Chen
Swatantran, A. et al. Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar. Sci. Rep. 6, 28277; doi: 10.1038/srep28277 (2016).
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.
- Vegetation structure
- Above-ground biomass and carbon
- Multispectral remote sensing
- Error and accuracy