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 …

This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …

Leaf chlorophyll, as a key factor for carbon circulation in the ecosystem, is significant for the
photosynthetic productivity estimation and crop growth monitoring in agricultural …

Aims Grasslands are the world's most extensive terrestrial ecosystem, and are a major feed
source for livestock. Meeting increasing demand for meat and other dairy products in a …

Upcoming satellite hyperspectral sensors require powerful and robust methodologies for
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …

Leaf area index (LAI) is an important indicator of crop growth. In this paper, a hybrid
inversion method was developed to estimate the LAI values of crops. Based on PROSAIL …

With the advent of Sentinel-2, it is now possible to generate large-scale chlorophyll content
maps with unprecedented spatial and temporal resolution, suitable for monitoring ecological …

Leaf chlorophyll content (LCC), as an important indicator of photosynthetic capacity and
nitrogen status, has been non-destructively estimated from canopy reflectance spectra in …

Leaf area index (LAI) is a key variable for modeling energy and mass exchange between the
land surface and the atmosphere. Inversion of physically based radiative transfer models is …

This study focuses on the comparison of hybrid methods of estimation of biophysical
variables such as leaf area index (LAI), leaf chlorophyll content (LCC), fraction of absorbed …