Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis
نویسندگان
چکیده
• Unmanned aerial systems assist to characterize vegetation complexity. Common rules that shape workflows applied in UAS-based studies can be identified. Proposed framework allows design surveys according its purpose. Crucial are knowledge of the phenomenon and choice UAS, resolution model. Proper UAS survey minimizes efforts while maximizing quality. Ecosystem complexity is among important drivers biodiversity ecosystem functioning, unmanned (UASs) becoming an tool for characterizing patterns processes. The variety UASs applications immense, so procedures process data described literature. Optimizing workflow still a matter discussion. Here, we present comprehensive synthesis aiming identify common facing ecosystems. Analysing studies, found similarities irrespective ecosystem, character property addressed, such as species composition (biodiversity), structure (stand volume/complexity), plant status (phenology stress levels), dynamics (disturbances regeneration). We propose general allowing purpose component addressed. support by detailed schemes well examples best practices covering each properties (i.e. composition, structure, dynamics) related applications. For efficient survey, following points crucial: phenomenon, platform, sensor, (temporal, spatial spectral), model classification algorithm careful interpretation results. simpler procedure, more robust, repeatable, applicable cost effective it is. Therefore, proper minimize quality
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ژورنال
عنوان ژورنال: Ecological Indicators
سال: 2021
ISSN: ['1470-160X', '1872-7034']
DOI: https://doi.org/10.1016/j.ecolind.2021.108156