Adjusting line quantum sensing to improve leaf area index measurements and estimations in forests.

Rapid and reliable estimation of leaf area index (LAI), a crucial parameter in process-based models of vegetation cover response, is important in ecological studies. The Beer-Lambert law is widely used to calculate forest LAI, but data collection methods are time-consuming and calculations are often inaccurate. Our objective was to improve the accuracy of Beer-Lambert law-based LAI estimation by employing indirect data collection and location-specific light extinction coefficients ().