Leaf area index (LAI) and chlorophyll content, at leaf and canopy level, are important variables for agricultural applications because of their crucial role in photosynthesis and in plant functioning. The goal of this study was to test the hypothesis that LAI, leaf chlorophyll content (LCC), and canopy chlorophyll content (CCC) of a potato crop can be estimated by vegetation indices for the fir...

Leaf angle distribution (LAD), or the leaf mean tilt (MTA) capturing its central value, is used to quantify direction of surface in a canopy and one most important structuraltraits. Combined with other structure parameter, area index (LAI), LAD determines light interception crop canopy. However, unlike LAI, only few studies have addressed direct retrieval MTA from remote sensing data. Recently,...

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 and temporal resolution. It covers the VNIR/SWIR spectral region in 13 bands and incorporates two new spectral bands in the rededge region, which can be used to derive vegetation indices using red-edge bands in t...

Although studies on species-level classification and mapping using multisource data machine learning approaches are plenty, the use of with ideal placement central wavelength bandwidth at appropriate spatial resolution, for mangrove species is underreported. The composition a forest has been estimated utilising red-edge spectral bands chlorophyll absorption information from AVIRIS-NG Sentinel-2...

Canopy chlorophyll content (Chl) closely relates to plant photosynthetic capacity, nitrogen status and productivity. The goal of this study is to develop remote sensing techniques for accurate estimation of canopy Chl during the entire growing season without re-parameterization of algorithms for two contrasting crop species, maize and soybean. These two crops represent different biochemical mec...

Accurate estimation of canopy chlorophyll content (CCC) is critically important for agricultural production management. However, vegetation indices derived from reflectance are influenced by structure, which limits their application across species and seasonality. For horizontally homogenous canopies such as field crops, LAI leaf inclination angle distribution or mean tilt (MTA) two biophysical...

Optical wavelength satellite data have directional reflectance effects over non-Lambertian surfaces, described by the bidirectional reflectance distribution function (BRDF). The Sentinel-2 multi-spectral instrument (MSI) acquires data over a 20.6◦ field of view that have been shown to have non-negligible BRDF effects in the visible, near-infrared, and short wave infrared bands. MSI red-edge BRD...

Yellow rust is one of the most destructive diseases for winter wheat and has led to a significant decrease in winter wheat quality and yield. Identifying and monitoring yellow rust is of great importance for guiding agricultural production over large areas. Compared with traditional crop disease discrimination methods, remote sensing technology has proven to be a useful tool for accomplishing s...