Effect of Leaf Occlusion on Leaf Area Index Inversion of Maize Using UAV–LiDAR Data

Inversion of Forest Leaf Area Index Based on Lidar Data

Leaf area index (LAI) is an important parameter of vegetation ecosystems, which can reflect the growth status of vegetation, and its inversion result has important significance on forestry system. The inversion values of forest LAI exists a certain deviation using traditional method. The airborne LiDAR technology adopts a new type of aerial earth observation method and makes it possible to esti...

Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC)

a King Abdullah University of Science and Technology, Water Desalination and Reuse Center, Kingdom of Saudi Arabia b European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy c USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA d Center for Advanced Land Management Information Technology (CALMIT), School of Natural Resources, Unive...

The Retrieval of Leaf Inclination Angle and Leaf Area Index in Maize

Leaf area index measurements

Leaf area index (LAI) is a key structural characteristic of forest ecosystems because of the role of green leaves in controlling many biological and physical processes in plant canopies. Accurate LA1 estimates are required in studies of ecophysiology, atmosphere-ecosystem interactions, and global change. The objective of this paper is to evaluate LA1 values obtained by several research teams us...

Usage of Lidar Data for Leaf Area Index Estimation

Leaf area index (LAI) can be measured either directly, using destructive methods, or indirectly using optical methods that are based on the tight relationship between LAI and canopy light transmittance. Third, innovative approach for LAI measuring is usage of remote sensing data, especially airborne laser scanning (ALS) data shows itself as a advisable source for purposes of LAI modelling in la...