Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

Remote sensing provides accurate and cost-effective solution to quantify the biophysical
and biochemical traits of citrus fruit orchards. Timely information on these traits can be used …

Leaf area index (LAI) and light extinction coefficient (k) are the key structural parameters
controlling many canopy functions like radiation and water interception, radiation extinction …

The humid tropics are exposed to an unprecedented modernisation of agriculture involving
rapid and mixed land-use changes with contrasted environmental impacts. Afforestation is …

Litterfall is the primary interface between the forest canopy and forest floor for efficient
carbon and nutrient cycling. However, there is limited knowledge on factors that influence D …

Abstract Accurate estimation of Leaf Area Index (LAI) is pivotal for understanding vegetation
dynamics and ecosystem productivity. Light Detection and Ranging (LiDAR), with its …

The leaf area index (LAI) serves as a proxy to understand the dynamics of plant productivity,
energy balance, and gas exchange. Cost-effective and accurate estimation of LAI is …

Core Ideas A new allometric method was developed to estimate LAI for row crops. Good
agreement resulted for four crops over multiple seasons. Best agreement resulted using …

The leaf area index (LAI) is crucial for assessing and monitoring maize (Zea mays L.)
vegetation status and photosynthetic ability. Predicting maize LAI by hyperspectral remote …

We developed allometric models for accurate estimation of Tectona grandis (teak) leaf area
index (LAI), for different stem diameter-classes (D-classes). In this study, we harvested teak …