Forest’s ecosystem is one of the most important carbon sink of the terrestrial ecosystem. Remote sensing technology provides robust techniques to estimate biomass and solve challenges in forest resource assessment. The present study explored the potential of Sentinel-2 bands to estimate biomass and comparatively analyzed of red-edge band based and broadband derived vegetation indices. Broadband...

Sentinel-2 is planned for launch in 2013 and it is equipped with the Multi Spectral Instrument (MSI), which will provide images with high spatial, spectral and temporal resolution. It incorporates two new spectral bands in the red-edge region, which can be used to derive red-edge type of vegetation indices. These are particularly suitable for deriving estimates of canopy chlorophyll and nitroge...

For the Sentinel-2 multispectral satellite image remote sensing data, due to rich spatial information, traditional water body extraction methods cannot meet needs of practical applications. In this study, a random forest-based RF_16 optimal combination model algorithm is proposed extract bodies. The research process uses images and DEM data as basic collected 24 characteristic variable indicato...

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 comparison to the latter sensors, Sentinel-2 incorporates three new spectral bands in the red-edge region, which are centered at 705, 740 and 783 nm. This study addresses the importance of these new bands for the retr...

Leaf nitrogen concentration (leaf N, %) is an essential component for understanding biogeochemical cycling. Leaf N is a good indicator of grass or forage quality, which is important for understanding the movements and feeding patterns of herbivores. Leaf N can be used as input for rangeland carrying capacity and stocking rate models. The estimation of leaf N has been successful using hyperspect...

Spectro-gasometric ground-based measurements were carried out during 2020-2021. It was determined that five vegetation indices - REP (Red Edge Position), Green NRDI (Normalized Difference Vegetation Index), MOD (Green Model) and Red edge are more responsive to the presence of СО2 concentration depending on leaf photosynthesis respiration coastal sedge (Carex riparia) with high correlation under...

Leaf and canopy nitrogen (N) status relates strongly to leaf and canopy chlorophyll (Chl) content. Remote sensing is a tool that has the potential to assess N content at leaf, plant, field, regional and global scales. In this study, remote sensing techniques were applied to estimate N and Chl contents of irrigated maize (Zea mays L.) fertilized at five N rates. Leaf N and Chl contents were dete...

Systematic quantification and monitoring of forest biophysical and biochemical variables is required to assess the response of ecosystems to climate change and gain a deeper understanding of the carbon cycle. Red-Edge Position (REP) is a hyperspectrally detectable parameter, which is sensitive to Chlorophyll (Chl) content. In the current study, REP was modelled for Norway spruce Forest canopy R...