Critique of stepwise multiple linear regression for the extraction of leaf biochemistry information from leaf reflectance data
- 1 June 1996
- journal article
- Published by Elsevier in Remote Sensing of Environment
- Vol. 56 (3), 182-193
- https://doi.org/10.1016/0034-4257(95)00235-9
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Determination of carbon fraction and nitrogen concentration in tree foliage by near infrared reflectances: a comparison of statistical methodsCanadian Journal of Forest Research, 1996
- Spectrometry estimation of total nitrogen concentration in Douglas-fir foliageInternational Journal of Remote Sensing, 1996
- Investigation of leaf biochemistry by statisticsRemote Sensing of Environment, 1995
- Reflectance spectroscopy of fresh whole leaves for the estimation of chemical concentrationRemote Sensing of Environment, 1992
- Remote sensing of foliar chemistryRemote Sensing of Environment, 1989
- Remote sensing of forest canopy and leaf biochemical contentsRemote Sensing of Environment, 1988
- Foliar analysis using near infrared reflectance spectroscopyCanadian Journal of Forest Research, 1988
- Evaluation of Correlation Coefficients Obtained with a Stepwise Regression AnalysisApplied Spectroscopy, 1985
- Inflation of R 2 in Best Subset RegressionTechnometrics, 1980
- Leaf optical system modeled as a stochastic processApplied Optics, 1977