作者: André Große-Stoltenberg , Ivan Lizarazo , Giuseppe Brundu , Vinicius Paiva Gonçalves , Lucas Prado Osco
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摘要: Remote sensing is a rapidly advancing technology with a wide range of applications in ecosystem management. This chapter presents a literature review focusing on ecological applications of remote sensing in the context of invasions of Australian Acacia species (‘wattles’) at the global level. Of ten studied species worldwide, only half, namely A. cyclops, A. dealbata, A. longifolia, A. mearnsii and A. saligna, were studied more than once. Research hotspots are South Africa and Portugal, while large gaps exist elsewhere. The most common study objective is mapping the distribution of invasive wattles using machine learning. Novel approaches using deep learning and citizen science are still largely untapped resources, and comparative approaches to test the transferability of these novel techniques are rare. Coastal dunes and forests are frequently studied, while agroforestry systems, for example, are neglected …