Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys
By F. Baffetta, L. Fattorini, S. Franceschi, Piermaria Corona. 2009
103 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/0b6373a2f7259ccac165fd74de9fcf3da13c19ff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Ronald E. McRoberts
- Steen Magnussen
- Erkki Tomppo
- Gherardo Chirici
- Arne Nothdurft
- Johannes Breidenbach
- Gerald Kändler
- Philip A. Townsend
In Environmental Engineering
- Ronald E. McRoberts
- Arne Nothdurft
- Steen Magnussen
- Gerald Kändler
- Gherardo Chirici
- Erkki Tomppo
- Johannes Breidenbach
- Erik Næsset
In Nature and Landscape Conservation
- Ronald E. McRoberts
- Arne Nothdurft
- Steen Magnussen
- Gerald Kändler
- Gherardo Chirici
- Erkki Tomppo
- Johannes Breidenbach
- Erik Næsset
Citations in the corpus
- Comparison of nearest neighbour approaches for small area estimation of tree species-specific forest inventory attributes in central Europe using airborne laser scanner data (2010, background): “, stands) design-based (modelassisted) approaches could be considered as an alternative (Andersen and Breidenbach 2007; Baffetta et al. 2009).”
- Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data (2011, methodology): “For probability-based inference, McRoberts et al. (2002) illustrated use of nearest neighbors techniques to support stratified estimation, and Baffetta et al. (2011, 2009) described use of nearest neighbors techniques with the model-assisted difference estimator (Särndal et al., 1992).”