Benefits of hyperspectral remote sensing for tracking plant invasions

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Satellite remote sensing for applied ecologists: opportunities and challenges (2014, background): “A particularly promising avenue for SRS-based species detection arises from many successful uses of hyperspectral data for identifying canopy plant species (see e.g. Carlson et al. 2007; Adam & Mutanga 2009; Pu 2009; Cho et al. 2010), especially invasive species (see He et al. 2011 for a review).”
Will remote sensing shape the next generation of species distribution models? (2015, background): “The typically acceptable accuracies range from 60 to 90% for plant species and error rates for validation or training data are not reported in most studies (He et al. 2011).”
Building capacity in biodiversity monitoring at the global scale (2017, methodology): “2014) and offers many more opportunities for monitoring plant species (He et al. 2011).”
Hyperspectral Band Selection: A Review (2019, background): “, biophysical parameter retrieval [3], [4], fine classification of complex environments [5], [6], small target detection [7], [8], and so forth.”
Potential of remote sensing to predict species invasions (2015, background): “Phenology also plays a significant role in detecting and mapping the spatial distribution of invasive species in remote sensing applications (He et al., 2011).”