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 487
Special Issue Editor
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
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