Commercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu-Natal, South Africa

By K. Peerbhay, Onisimo Mutanga, Riyad Ismail. 2013

147 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/bbbbd81adbd9e2b93e6713fa75653ebae11eb54b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Bogdan Zagajewski
2. Edwin Raczko

In Ecology

1. Bogdan Zagajewski
2. Edwin Raczko

In Environmental Engineering

1. Bogdan Zagajewski
2. Edwin Raczko

Citations in the corpus

• Identification of grapevine varieties using leaf spectroscopy and partial least squares (2013, methodology): “Airborne imaging and partial least squares discriminant analysis have also been used for tree species discrimination (Peerbhay et al., 2013).”
• Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images (2017, methodology): “Some studies conduct reference data collection in the same month as hyperspectral data acquisition, helped by available auxiliary resources (maps) (Peerbhay et al., 2013), while others use forest species maps obtained from forest management institutions (public or private) and orthophoto maps…”