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 …

To better understand the life-essential cycles and processes of our planet and to further
develop remote sensing (RS) technology, there is an increasing need for models that …

Leaf area index (LAI) is an important vegetation biophysical variable and has been widely
used for crop growth monitoring and yield estimation, land-surface process simulation, and …

Satellite and airborne optical sensors are increasingly used by scientists, and policy makers,
and managers for studying and managing forests, agriculture crops, and urban areas. Their …

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 …

Saturation effects limit the application of vegetation indices (VIs) in dense vegetation areas.
The possibility to mitigate them by adopting a negative soil adjustment factor X is addressed …

The fraction of near infrared (NIR) solar energy reflected by forest canopies has been shown
to correlate with leaf nitrogen availability and photosynthesis. But the canopy properties …

The Normalized Area Over reflectance Curve (NAOC) is proposed as a new index for remote
sensing estimation of the leaf chlorophyll content of heterogeneous areas with different …

Real-time/near real-time inversion of land surface biogeophysical variables from satellite
observations is required to monitor rapid land surface changes, and provide the necessary …

Earth system models and many other applications require biogeophysical variables, and
remote sensing is the only means by which to estimate them at the appropriate spatial and …