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 …

Leaf area index (LAI) is a key parameter of vegetation structure in the fields of agriculture,
forestry, and ecology. Optical indirect methods based on the Beer-Lambert law are widely …

Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …

Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …

This study explores the potential of vegetation indices (VIs) for crop leaf area index (LAI)
estimation, with a focus on comparing red-edge reflectance based (RE-based) and the …

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 …

Ongoing climate change poses significant threats to plant function and distribution.
Increased temperatures and altered precipitation regimes amplify drought frequency and …

ESA's upcoming satellite Sentinel-2 will provide Earth images of high spatial, spectral and
temporal resolution and aims to ensure continuity for Landsat and SPOT observations. In …

How plants interact with sunlight is central to the existence of life and provides a window to
the functioning of ecosystems. Although the basic properties of leaf spectra have been …

Accurate prediction of crop yield before harvest is of great importance for crop logistics,
market planning, and food distribution around the world. Yield prediction requires monitoring …