Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …

The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …

The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite
imagery received a major boost with the recent launch of the Sentinel-2 sensor by 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 …

Accurate prediction of crop yield at the field scale is critical to addressing crop production
challenges and reducing the impacts of climate variability and change. Recently released …

Sentinel-2 is planned for launch in 2014 by the European Space Agency and it is equipped
with the Multi Spectral Instrument (MSI), which will provide images with high spatial, spectral …

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 chlorophyll content is an important variable for agricultural remote sensing because of
its close relationship to leaf nitrogen content. The triangular greenness index (TGI) was …

Leaf area index (LAI) is an important indicator of plant growth and yield that can be
monitored by remote sensing. Several models were constructed using datasets derived from …

Abstract The dynamics of Leaf Area Index (LAI) from space is key to identify crop types and
their phenology over large areas, and to characterize spatial variations within growers' …