Hyperspectral sensors enable the study of the chemical properties of scene materials
remotely for the purpose of identification, detection, and chemical composition analysis of …

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

View angle effects present in spectral vegetation indices can either be regarded as an
added source of uncertainty for variable retrieval or as a source of additional information …

Crop leaf chlorophyll content (CC) and fractional cover (fc) are critical parameters for
assessing crop growth and dynamic vegetation changes at regional and global scales. As …

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

Considerable controversy is associated with dry season increases in the Enhanced
Vegetation Index (EVI), observed using the Moderate Resolution Imaging Spectroradiometer …

The area-based leaf nitrogen content (LNC A) has gained increasing attention recently in
ecology and plant physiology, and the mass-based nitrogen content (LNC M) has been …

Background Fractional vegetation cover (FVC) is an important parameter for evaluating crop-
growth status. Optical remote-sensing techniques combined with the pixel dichotomy model …

Crop monitoring through remote sensing techniques enable greater knowledge of average
variability in crop growth. Canopy sensors help provide information on the variability of crop …

Near-surface, airborne, and satellite platforms can provide multisensor, multiscale
normalized difference vegetation index (NDVI) data for spatially and temporally continuous …