Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data

An application of Random Forests to a genome-wide association dataset: Methodological considerations & new findings

(2010) Benjamin A Goldstein et al.   BMC GENETICS

Evaluating the performance of PC-ANN for the estimation of rice nitrogen concentration from canopy hyperspectral reflectance

(2010) Qiuxiang Yi et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Mining data with random forests: A survey and results of new tests

(2010) A. Verikas et al.   PATTERN RECOGNITION

Estimation of sugarcane leaf nitrogen concentration using in situ spectroscopy

(2009) Elfatih M. Abdel-Rahman et al.   International Journal of Applied Earth Observation and Geoinformation

Use of spatial structure analysis of hyperspectral data cubes for detection of insect‐induced stress in wheat plants

(2009) Christian Nansen et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis

(2008) R. Grimm et al.   GEODERMA

Phase correlation based redundancy removal in feature weighting band selection for hyperspectral images

(2008) B. Demir et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery

(2008) P. Kempeneers et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT

Empirical characterization of random forest variable importance measures

(2007) Kellie J. Archer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice

(2007) Yan Zhu et al.   International Journal of Applied Earth Observation and Geoinformation