Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR

By Jeffrey J. Richardson, L. Moskal, Soo-Hyung Kim. 2009

275 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/50f22898b597f11f587aaf0a7c1029a10f2b0648

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. Oliver Sonnentag
2. Youngryel Ryu
3. Dennis D. Baldocchi
4. Alessandro Cescatti

In Environmental Engineering

1. Oliver Sonnentag
2. Sooyoung Kim
3. Beverly E. Law
4. Dennis D. Baldocchi
5. D. Briggs
6. T. Hinckley
7. Martin A. Nowak
8. Alessandro Cescatti

In Nature and Landscape Conservation

1. Sooyoung Kim
2. Dennis D. Baldocchi
3. D. Briggs
4. T. Hinckley
5. Alessandro Cescatti

Citations in the corpus

• On the correct estimation of effective leaf area index: does it reveal information on clumping effects? (2010, methodology): “Recently, LiDAR derived Le mapping has been proposed (Richardson et al., 2009; Solberg et al., in press) but these studies used lnPoðuÞ or the median of Po(u) instead of using lnPoðuÞ, which both incorporated clumping effects.”
• Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data (2011, background): “In addition, LIDAR is increasingly beingused to estimate leaf area and its distribution (Korhonen et al., 2011; Richardson et al., 2009).”