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 …

Hyperspectral acquisitions have proven to be the most informative Earth observation data
source for the estimation of nitrogen (N) content, which is the main limiting nutrient for plant …

With an upcoming unprecedented stream of imaging spectroscopy data, there is a rising
need for tools and software applications exploiting the spectral possibilities to extract …

Leaf area index (LAI) is a key biophysical parameter for the monitoring of agroecosystems.
Conventional two-band vegetation indices based on red and near-infrared relationships …

The current exponential increase of spatiotemporally explicit data streams from satellite-
based Earth observation missions offers promising opportunities for global vegetation …

The robust and accurate retrieval of vegetation biophysical variables using radiative transfer
models (RTM) is seriously hampered by the ill-posedness of the inverse problem. With this …

In this paper we compare two different methodologies for Fractional Vegetation Cover (FVC)
retrieval from Compact High Resolution Imaging Spectrometer (CHRIS) data onboard the …

The derivation of leaf area index (LAI) from satellite optical data has been the subject of a
large amount of work. In contrast, few papers have addressed the effective model inversion …

Photochemical reflectance index (PRI) is an intriguing avenue for monitoring photosynthetic
light use efficiency (LUE), which is a crucial physiological variable and the primary source of …

Vegetation biophysical parameter retrieval is an important earth remote sensing system
application. In this paper, we studied the potential impact of the addition of new spectral …