Lai von Melion.

Automated procedures for estimating LAI of Australian woodland ecosystems using digital imagery, Matlab programming and LAI / MODIS LAI relationship

Leaf area index (LAI) is one of the most important variables required for modelling growth and water use of forests. The implementation an approach to estimate LAI from digital pictures (LAID) has recently been advanced in Australia using digital image capture and gap analysis, which employs a novel methodology (Macfarlane et al 2006). This technique uses upward-looking wide-angle digital photo...

LAI Paper Series

Supplement for Kelley & Lai ( 2011 )

Using MBESS to implement the Methods Discussed The methods discussed and developed in Kelley and Lai (2011a) are implemented with the freely available MBESS (Kelley, 2007a, 2007b; Kelley & Lai, 2011b) R (R Development Core Team, 2011) package.1 First, it is helpful to know that a confidence interval for ε can be formed with the function ci.rmsea(). To form a 95% confidence interval for εwhen ε̂ ...

Chris D’Souza and Alexandra Lai

In 1952, Nobel Laureate Harry Markowitz, . . . , demonstrated mathematically why putting all your eggs in one basket is an unacceptably risky strategy and why diversification is the nearest an investor or business manager can ever come to a free lunch. That revelation touched off the intellectual movement that revolutionized Wall Street, corporate finance, and business decisions around the worl...

Spatio-Temporal LAI Modelling by Integrating Climate and MODIS LAI Data in a Mesoscale Catchment

Vegetation is often represented by the leaf area index (LAI) in many ecological, hydrological and meteorological land surface models. However, the spatio-temporal dynamics of the vegetation are important to represent in these models. While the widely applied methods, such as the Canopy Structure Dynamic Model (CSDM) and the Double Logistic Model (DLM) are solely based on cumulative daily mean t...