Special Issue "LiDAR and Other Remote Sensing Applications in Mapping and Monitoring of Forests Structure and Biomass"
A special issue of Forests (ISSN 1999-4907).
Deadline for manuscript submissions: closed (28 February 2014)
Prof. Dr. L. Monika Moskal
School of Environmental and Forest Sciences, College of the Environment, University of Washington, Box 352100, Seattle WA 98195-2100, USA. Director, UW Precision Forestry Cooperative and Remote Sensing and Geospatial Analysis Laboratory
Phone: +1 206 226 6391
Interests: ALS/TLS LiDAR; precision forestry; hyperspatial remote sensing; ecosystem services
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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.
Article: Estimating Single-Tree Crown Biomass of Norway Spruce by Airborne Laser Scanning: A Comparison of Methods with and without the Use of Terrestrial Laser Scanning to Obtain the Ground Reference Data
Forests 2014, 5(3), 384-403; doi:10.3390/f5030384
Received: 14 November 2013; in revised form: 7 January 2014 / Accepted: 19 February 2014 / Published: 28 February 2014| Download PDF Full-text (1415 KB) | View HTML Full-text | Download XML Full-text
Article: Assessing the Feasibility of Low-Density LiDAR for Stand Inventory Attribute Predictions in Complex and Managed Forests of Northern Maine, USA
Forests 2014, 5(2), 363-383; doi:10.3390/f5020363
Received: 20 December 2013; in revised form: 1 February 2014 / Accepted: 19 February 2014 / Published: 24 February 2014| Download PDF Full-text (2010 KB) | View HTML Full-text
Article: Above-Ground Biomass and Biomass Components Estimation Using LiDAR Data in a Coniferous Forest
Forests 2013, 4(4), 984-1002; doi:10.3390/f4040984
Received: 8 August 2013; in revised form: 28 October 2013 / Accepted: 15 November 2013 / Published: 20 November 2013| Download PDF Full-text (2163 KB) | View HTML Full-text | Download XML Full-text
Article: A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery
Forests 2013, 4(4), 922-944; doi:10.3390/f4040922
Received: 26 September 2013; in revised form: 12 October 2013 / Accepted: 25 October 2013 / Published: 6 November 2013| Download PDF Full-text (6749 KB) | Supplementary Files
Communication: Monitoring Post Disturbance Forest Regeneration with Hierarchical Object-Based Image Analysis
Forests 2013, 4(4), 808-829; doi:10.3390/f4040808
Received: 13 August 2013; in revised form: 12 September 2013 / Accepted: 23 September 2013 / Published: 11 October 2013| Download PDF Full-text (2232 KB) | View HTML Full-text | Download XML Full-text
Last update: 12 August 2013