Joel Forsmoo's research while affiliated with University of Exeter and other places
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Publications (2)
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 a...
Grasslands deliver a range of ecosystem services, including the provision of food and biodiversity, and regulation of soil carbon storage and hydrology. Monitoring schemes are needed to quantify spatial changes in these multiple functions alongside ecosystem degradation. Sward height is widely recognised as a key spatial variable in the provision o...
Citations
... Ahmadabadian et al. [62] even found that OSS outperformed proprietary software for many photogrammetry applications, while Galland et al. [63] demonstrated its benefit to the modeling of surface deformations. Continued use of OSS benefits groups seeking R&R as they will not struggle with the increased result variability that can often arise from the hidden nature of algorithms used in workflows consisting entirely of off-the-shelf, proprietary software products [64]. Rocchini et al. [65] advocated for educational initiatives to teach researchers and students about the benefits of open data and OSS for applications of remote sensing. ...
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... In this context, structural features of grasslands have been used for the estimation of grassland height and AGB [8,18,24]. Nevertheless, image-based approaches using UAV to estimate forage biomass are still in their infancy [35][36][37]. In view of this, there is no standard process for planning, collecting, and analyzing these data in order to extract AGB information. ...
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