Identifying Santa Barbara's urban tree species from AVIRIS imagery using canonical discriminant analysis
By Michael Alonzo, Keely L. Roth, Dar A. Roberts. 2013
63 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Media Technology
View Paper: https://www.semanticscholar.org/paper/9ac91b5a1556eb8fd93a304923f04447ba2b1622
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Michael Alonzo
- Keely L. Roth
- Dar A. Roberts
- Philip E. Dennison
- M. Béland
- Seth H. Peterson
- Bodo Bookhagen
- Bruce Douglas Cook
In Global and Planetary Change
- Dar A. Roberts
- Michael Alonzo
- Keely L. Roth
- Philip E. Dennison
- Bodo Bookhagen
- Douglas C. Morton
- Bruce Douglas Cook
- Hans-Erik Andersen
In Media Technology
- Dar A. Roberts
- Keely L. Roth
- Michael Alonzo
- Philip E. Dennison
- M. Béland
- Seth H. Peterson
- Bodo Bookhagen
- Le Wang
Citations in the corpus
- Differentiating plant species within and across diverse ecosystems with imaging spectroscopy (2015, background): “One clear advantage of CDA dimension reduction is that it allows for interpretation of the derived coefficients after standardization (Alonzo et al., 2013; Klecka, 1980).”
- Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion (2018, methodology): “The combination of a height variable (ht_max), a variable capturing crown form (wid_at_98p), and a color variable (blue_med) in a CDA classifier led to an 85% cross-validated overall accuracy for discriminating white spruce, black spruce, aspen, birch, and shrub.”
- Urban tree species mapping using hyperspectral and lidar data fusion (2014, methodology): “This paper builds significantly on the work by Alonzo et al. (2013) which focused on classifying manually-delineated tree crowns using hyperspectral imagery.”