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...

Abstract Determining a precise nitrogen fertilizer requirement for maize in particular field and year has proven to be challenge due the complexity of inputs, transformations outputs cycle. Remote sensing deficiency may one way move applications closer specific requirement. Six vegetation indices [normalized difference index (NDVI), green normalized (GNDVI), red-edge (RENDVI), triangle greennes...

Abstract The red edge band is considered as one of the diagnosable characteristics green plants, but large-scale remote sensing retrieval fractional vegetation coverage (FVC) based on still rare. To explore application in estimation FVC, this study proposed a new index (normalized difference index, RENDVI) two bands Chinese GaoFen-6 satellite (GF-6). FVC estimated by using three indices (NDVI, ...

Remote sensing can provide good alternatives for traditional in situ water status measurements in orchard crops, such as stem water potential (Ψstem). However, the heterogeneity of these cropping systems causes significant differences with regards to remote sensing products within one orchard and between orchards. In this study, robust spectral indicators of Ψstem were sought after, independent...

Cutting-edge remote sensing technology has a significant role for managing the natural resources as well as the any other applications about the earth observation. Crop monitoring is the one of these applications since remote sensing provides us accurate, up-to-date and cost-effective information about the crop types at the different temporal and spatial resolution. In this study, the potential...

Satellite remote sensing is a useful tool for estimating crop variables, particularly Leaf Area Index (LAI), which plays pivotal role in monitoring development. The goal of this study was to identify the optimal Sentinel-2 bands LAI estimation and derive Vegetation Indices (VI) that are well correlated with LAI. Linear regression models between time series imagery field-measured showed Band-8A—...

Remote sensing is a key technology that enables us to scale up our empirical, in situ measurements of carbon uptake made at the site level. In low leaf area index ecosystems typical of semi-arid regions however, many assumptions of these remote sensing approaches fall short, given the complexities of the heterogeneous landscape and frequent disturbance. Here, we investigated the utility of remo...

Remote sensing is a suitable candidate for monitoring rapid changes in Polar regions, offering high-resolution spectral, spatial and radiometric data. This paper focuses on the spectral properties of dominant plant species acquired during the first week of August 2015. Twenty-eight plots were selected, which could easily be identified in the field as well as on RapidEye satellite imagery. Spect...

This study aims to explore the potential and advantage of using the red-edge spectral bands of the forthcoming Vegetation and Environmental New micro Spacecraft (VENμS) for assessing Leaf Area Index (LAI) in field crops. Field spectral data were collected from experimental plots of wheat and potato at the northwestern Negev, Israel. These data were resampled to the VENμS bands being used for ca...

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...