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This study explores how various pre-processing steps may improve species discrimination and species recognition under different operational settings.
Imaging spectroscopy is a promising tool for airborne tree species recognition in hyper-diverse tropical canopies. However, its widespread application is ...
Auteurs : Laybros A, Schläpfer D, Féret JB, Descroix L, Bedeau C, Lefevre MJ, Vincent G ; Journal : Remote Sensing ; Équipe : amap ; Année : 2019.
Classified California plant species across nine dates with AVIRIS imagery. High accuracy was achieved using spectra from a single date (mean kappa 0.80–0.86).
Image document. Across Date Species Detection Using Airborne Imaging Spectroscopy · Anthony Laybros , Daniel Schläpfer , Jean-Baptiste Féret , Laurent Descroix ...
... Imaging spectroscopy is a promising tool for airborne tree species recognition in hyper-diverse tropical canopies. However, its widespread application is ...
2023/07/04 · Vegetation species mapping using airborne imaging spectroscopy yields accurate results and is important for advancing conservation objectives ...
Across Date Species Detection Using Airborne Imaging Spectroscopy. Remote Sens. (Basel), 11 (7) (2019), pp. 1-24, 10.3390/rs11070789 · Google Scholar. Li et al ...
LiDAR, which uses pulsed lasers to quantify the surface structure, has been fused with imaging spectroscopy data to reduce the spectral influence of canopy ...
This strategy has generally been successful when the goal is to map the majority of species across the landscape. If the goal is to map the distribution of ...