Volta

Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis

Unknown authors · 2021
hash_id: 8471f8ba03019bc73abc88aeba257cf31fa9cb24969fb7c555685ac603434024 · DOI: 10.1016/j.ecolind.2021.108156

Ecosystem complexity is among the important drivers of biodiversity and ecosystem functioning, and unmanned aerial systems (UASs) are becoming an important tool for characterizing vegetation patterns and processes. The variety of UASs applications is immense, and so are the procedures to process UASs data described in the literature. Optimizing the workflow is still a matter of discussion. Here, we present a comprehensive synthesis aiming to identify common rules that shape workflows applied in UAS-based studies facing complexity in ecosystems. Analysing the studies, we found similarities irrespective of the ecosystem, according to the character of the property addressed, such as species composition (biodiversity), ecosystem structure (stand volume/complexity), plant status (phenology and stress levels), and dynamics (disturbances and regeneration). We propose a …

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