The MERIS Terrestrial Chlorophyll Index (MTCI) is designed to monitor vegetation condition via an estimation of chlorophyll content. Its simplicity of calculation, suitability for automation and most importantly, sensitivity to all and notably, high values of chlorophyll content made it a suitable level-2 ESA product. This index effectively combines information on leaf area index and the chloro...

Accurate estimation of terrestrial gross primary productivity (GPP) remains a challenge despite its importance in the global carbon cycle. Chlorophyll fluorescence (ChlF) has been recently adopted to understand photosynthesis and its response to the environment, particularly with remote sensing data. However, it remains unclear how ChlF and photosynthesis are linked at different spatial scales ...

Spatial and temporal variations in canopy structure and leaf biochemistry have considerable influence on fluxes of CO2, water and energy and nutrient cycling in vegetation. Two vegetation indices (VI), NDVI and Macc01, were used to model the spatio-temporal variability of broadleaf chlorophyll content and leaf area index (LAI) across a growing season. Ground data including LAI, hyperspectral le...

environmental pollution consists of different types of pollutants in air, soil, and water. due to the fact that plants can respond to environmental pollution, they can be used as bio-indicators for environmental monitoring. air pollution in areas with oil and gas refineries nearby is an important problem. this study aims to survey the effects of gas refinery air pollutants on conocarpus erectus...

The reflectance properties of leaves are influenced by diverse biochemical components including chlorophyll, one of the key indicators related to plant photosynthesis and plant stress. Although a number of hyperspectral indices have been proposed for quantifying leaf chlorophyll concentrations, their applications are largely restricted to where they were developed and can hardly provide satisfa...

drought stress is the most important factor that reduces yield in crops including chickpea and causes some changes in seed composition. this study was performed in order to evaluate the effects of drought stress and starter nitrogen fertilizer on four cultivars of chickpea. experiment was performed in a split-factorial using randomized complete block design with three replications. drought stre...

This research was conducted to assess the potential of hyperspectral indices to detect iron deficiency in capital-intensive multi-annual crop systems. A well-defined hyperspectral multi-layer dataset was constructed for a peach orchard in Zaragoza, Spain, consisting of hyperspectral measurements at various monitoring levels (leaf, crown, airborne). Trees were subjected to four different treatme...

Feng, M. C., J. J. Wang, C. Wang, W. D. Yang, H. Q. Wang, L. J. Xiao, Y. H. Song, L. M. gao, M. J. ZHang and g. W. Ding, 2013. Response of winter wheat (Triticum aestivum L.) spectral reflectance characteristics to chlorophyll content in planting densities application rate. Bulg. J. Agric. Sci., 19: 1190-1197 The leaf chlorophyll content of wheat is one of important agronomic parameters to anal...

Red leaf blotch is one of the major fungal foliar diseases affecting almond orchards. High-resolution thermal and hyperspectral airborne imagery was acquired from two flights and compared with concurrent field visual evaluations for disease incidence and severity. Canopy temperature and vegetation indices were calculated from thermal and hyperspectral imagery and analyzed for their ability to d...

  Abstract Two experiments with factorial arrangements on the basis of randomized complete block design in three replications were conducted in 2007 and 2008, to evaluate chlorophyll content index (CCI), fluorescence of chlorophyll, proline content and grain yield of three soybean cultivars (Williams, Zan and L17) under a non-saline (control) and three saline (3, 6 and 9 ds/m NaCl) conditions...