Multispectral imagery has been used as the data source for water and land observational
remote sensing from airborne and satellite systems since the early 1960s. Over the past two …

This review provides an overview of the use of remote sensing data, the development of
spectral reflectance indices for detecting plant water stress, and the usefulness of field …

In this study we combined selected vegetation indices (VIs) and plant height information to
estimate biomass in a summer barley experiment. The VIs were calculated from ground …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

The estimation of vegetation water content (VWC) over a crop-growing period was
performed using the near-infrared (NIR) and short-wave infrared (SWIR) bands of the Terra …

Compared with the traditional visual detection method, hyperspectral imaging enables
efficient and non-destructive plant monitoring. Besides, it has great potential in plant …

Soil salinization is one of the most common forms of land degradation. The detection and
assessment of soil salinity is critical for the prevention of environmental deterioration …

The gravimetric water content (GWC,%), a commonly used measure of leaf water content,
describes the ratio of water to dry matter for each individual leaf. To date, the relationship …

This study investigates the applicability of empirical and radiative transfer models to estimate
water content at leaf and landscape level. The main goal is to evaluate and compare the …

This study explores a method to classify seven tropical rainforest tree species from full-range
(400–2,500 nm) hyperspectral data acquired at tissue (leaf and bark), pixel and crown …