Mapping two Eucalyptus subgenera using multiple endmember spectral mixture analysis and continuum-removed imaging spectrometry data
By Kara N. Youngentob, Dar A. Roberts, Alex Held, Philip E. Dennison, Xiuping Jia, David B. Lindenmayer. 2011
91 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Ecology, Media Technology
View Paper: https://www.semanticscholar.org/paper/630a72e7ea576360387893c574b2cc3cfafe127f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Ecology
- Michael Alonzo
- Keely L. Roth
- Dar A. Roberts
- Philip E. Dennison
- Bodo Bookhagen
- Darius Phiri
- Justin Morgenroth
- Le Wang
In Media Technology
- Dar A. Roberts
- Keely L. Roth
- Michael Alonzo
- Philip E. Dennison
- Bodo Bookhagen
- Darius Phiri
- Justin Morgenroth
- Le Wang
Citations in the corpus
- Urban tree species mapping using hyperspectral and lidar data fusion (2014, background): “Hyperspectral imagery has proven useful in mapping tree species at the pixel level based on variability in spectral reflectance at leaf to crown scales (Boschetti, Boschetti, Oliveri, Casati, & Canova, 2007; Clark et al., 2005; Dennison & Roberts, 2003; Franke, Roberts, Halligan, & Menz, 2009; Marti”
- Differentiating plant species within and across diverse ecosystems with imaging spectroscopy (2015, unknown): “For example, Youngentob et al. (2011) created maps showing pixels modeled by MESMA endmembers with ≥75% accuracy for classifications of two eucalypt species.”
- Comparing endmember selection techniques for accurate mapping of plant species and land cover using imaging spectrometer data (2012, methodology): “In Australian eucalyptus forest, Youngentob et al. (2011) were able to discriminate two Eucalyptus subgenera using HyMap data with 83% accuracy.”
- A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research (2016, unknown): “Examples of other radiometric corrections include continuum removal (Clark & Roush, 1984; Youngentob et al., 2011) and sun distance and elevation correction (Lillesand et al., 2004, Chapter 7).”
- Developments in Landsat Land Cover Classification Methods: A Review (2017, methodology): “This method was developed in the early 1980s (Figure 2) and has been applied extensively on Landsat land cover classification [63,66,67].”