Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods

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Segmented canonical discriminant analysis of in situ hyperspectral data for identifying 13 urban tree species (2011, methodology): “Buddenbaum et al. (2005) classified conifer species with Airborne Hyperspectral Scanners (HyMap; spatial resolution 5 m) using geostatistical methods and spectral and textural information.”
Mapping forest age using National Forest Inventory, airborne laser scanning, and Sentinel-2 data (2020, methodology): “Previous research demonstrated that forest stand age can be modelled using spectral data (Jensen et al. 1999; Reese et al. 2003; Buddenbaum et al. 2005; Kayitakire et al. 2006; Dye et al. 2012), 3D data from ALS (Maltamo et al. 2009; Racine et al. 2014; Zhang et al. 2014), and a combination of both…”
Use of UK-DMC 2 and ALOS PALSAR for studying the age of oil palm trees in southern peninsular Malaysia (2013, methodology): “…coniferous forest (Danson and Curran 1993; Cohen, Spies, and Fiorella 1995; Jensen, Qiu, and Ji 1999; Puhr and Donoghue 2000; Cohen et al. 2001; Buddenbaum, Schlerf, and Hill 2005; Liu et al. 2008), tropical vegetation in the Amazon (Roberts et al. 1998), agriculture, tropical secondary…”