Estimating leaf area index in different types of mature forest stands in Switzerland: a comparison of methods

By A. Thimonier, I. Sedivy, P. Schleppi. European Journal of Forest Research, 2010

196 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/7212d141a54bf7febc5af898b937712ed0bccaaa

How researchers see this paper

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

In Ecology

1. Roshanak Darvishzadeh
2. Andrew K. Skidmore
3. Mathias I. Disney
4. William Woodgate
5. John Armston
6. Marco Heurich
7. George Alan Blackburn

In Global and Planetary Change

1. Mathias I. Disney
2. William Woodgate
3. Philip Lewis
4. John Armston

In Nature and Landscape Conservation

1. Mathias I. Disney
2. Andrew K. Skidmore
3. Marco Heurich

Citations in the corpus

• Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning (2018, methodology): “The gap size distribution method (Chen and Cihlar, 1995b) was applied to estimate the clumping index (Ω) and the corrected value of LAI (Thimonier et al., 2010).”
• Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index (2018, methodology): “=P θ( ) nG nTi i i i gap, (B.2) The classification of pixels as gap or non-gap was done by thresholding the RGB image into a black (non-gap, nTi− nGi) and white (gap, nGi) image (Woodgate et al., 2015b; Thimonier and Sedivy, 2010; Weiss et al., 2004).”