Structure from motion photogrammetry in ecology: Does the choice of software matter?

ABSTRACT: Image-based modeling, and more precisely, Structure from Motion (SfM) and Multi-View Stereo (MVS), is emerging as a flexible, self-service, remote sensing tool for generating fine-grained digital surface models (DSMs) in the Earth sciences and ecology. However, drone-based SfM + MVS applications have developed at a rapid pace over the past decade and there are now many software options available for data processing. Consequently, understanding of reproducibility issues caused by variations in software choice and their influence on data quality is relatively poorly understood. This understanding is crucial for the development of SfM + MVS if it is to fulfill a role as a new quantitative remote sensing tool to inform management frameworks and species conservation schemes. To address this kno

SUBMITTER: Forsmoo J 

PROVIDER: S-EPMC6912889 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature