Volta

Understanding spatio-temporal complexity of vegetation using drones, what could we improve?

Unknown authors · 2024
hash_id: 4acae5d6b6a3103143e3c729f6f252bc09d3eb5361b50dfae8cb8f6ae134e10d · DOI: 10.1016/j.jenvman.2024.123656

Unraveling the intricate spatial and temporal complexities of vegetation represents a crucial key to understanding ecosystem functioning. Drones, as cutting-edge technology, hold immense potential in bridging the gap between on-ground measurements and satellite remote sensing data. Nonetheless, a multitude of challenges still looms, with one of the foremost being the nuanced identification of scales that strike a balance between capturing maximum complexity while minimizing measurement errors. To explore how current research deals with the above-mentioned challenges, we carried out a literature survey on research studies employing drones to characterize natural and semi-natural vegetation. We selected papers related to the role of spatial and/or temporal complexity in ecosystem state, function and/or services. Our result showed that most studies focused on ecosystem …

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