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Reproducing Vegetation Structure from UAV-Based Photogrammetry

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

Deadline for manuscript submissions: closed (24 December 2021) | Viewed by 298

Special Issue Editor

School of Earth and Atmospheric Science, Queensland University of Technology, 2 George St., Brisbane, QLD 4000, Australia
Interests: photogrammetric reconstruction of vegetation; mining; anthropogenic impact monitoring; LiDAR; 3D point clouds

Special Issue Information

Dear Colleagues,

Vegetation monitoring and modelling is a commonly proposed application of UAV photogrammetry. However, many trees, shrubs and grasses poorly adhere to the photogrammetric assumptions required for reconstruction. Numerous publications compare photogrammetric outputs with terrestrial, UAV or airborne LIDAR or field observations without assessing UAV photogrammetric products’ variability. The automated workflows that allow UAV photogrammetry and the complex spatial and temporal environments during imagery capture are less studied. This Special Issue seeks publications that directly address the reproducibility of the photogrammetric reconstruction of vegetation. We are seeking manuscripts that include independent imagery and photogrammetric pipelines, and the impacts of software settings. Vegetation structure differences (open vs. closed canopies, leaf orientation and size) affect texture and, therefore, affect subsequent reconstruction. Testing the limits of reproducibility for vegetation models is an essential step for determining whether UAV photogrammetry provides the sensitivity and reproducibility required for monitoring and management.

Dr. Andrew Fletcher
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 submissions that pass pre-check are 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 2700 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.

Published Papers

There is no accepted submissions to this special issue at this moment.
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