Accurate estimation of green aboveground biomass in arid and semiarid grassland is essential for a variety of studies, such as sustainable grassland management, fire risk assessment, climate change, and environmental degradation. A great need exists for the establishment of robust method for estimating green aboveground biomass in arid and semiarid grassland due to the influences of soil backgr...

To enhance the vegetation signal in remotely sensed data and provide an approximate measure of live green vegetation, a number of spectral vegetation indices have been developed to estimate biophysical parameters of vegetation. The sensitivity of the normalized difference vegetation index (NDVI) to the soil background and atmospheric effects has generated an increasing interest in the developme...

Submit Manuscript | http://medcraveonline.com Abbreviations: ET: Evapotranspiration; ETM: Enhanced Thematic Mapper; EVI: Enhanced Vegetation Index; FAO: The Food and Agriculture Organization of the United Nations; LAI: Leaf Area Index; MODIS: Moderate Resolution Imaging Spectroradiometer (it is attached to Terra a sun synchronous satellite); NDVI; Normalized Difference in Vegetation Index; SAVI...

Uncertainty about responses of vegetation index, aboveground biomass (AGB) and gross primary production (GPP) limits our ability to predict how climatic warming will influence plant growth in alpine regions. A field warming experiment was conducted in an alpine meadow at a low (4313 m), mid- (4513 m) and high elevation (4693 m) in the Northern Tibet since May 2010. Growing season vapor pressure...

Remotely sensed data are widely used to gain information about biophysical parameters characterizing the Earth surface. Among the others, the Soil Adjusted Vegetation Index (SAVI) is commonly used to monitor the distribution and the health of the green cover. The vegetation usually shows a certain level of spatial correlation, that is expected to be present also in the related SAVI maps. Moreov...

Soil salinity undergoes significant spatial and temporal variations; therefore, salinity mapping is difficult, expensive, and time consuming. However, researchers have mainly focused on arid soils (bare) and less attention has been paid to halophyte plants and their role as salinity indicators. Accordingly, this paper aimed to investigate the relationship between soil properties, such as electr...

A previously developed reflectance-based crop coeJficient (Kcr) for corn, estimated from the normalized difference vegetation index (ND VI), has been shown to overestimate the basal crop coe~cient (KeQ for corn by 24% or more when used with a dark-colored soil. This overestimation occurs because the NDVI produces larger index values for the same vegetation amount over dark backgrounds. Thus, th...

Several soiland atmospheric correcting variants of the normalized difference vegetation index (NDVI) have been proposed to improve its accuracy in estimating biophysical plant parameters. In this study, a sensitivity analyses, utilizing simulated and observational data, was conducted on the NDVI and improved variants by analyzing the atmospheric-and soilperturbed responses of each VI as a conti...

Accurate monitoring of land surface dynamics using remote sensing is essential for the synoptic assessment of environmental change. We assessed a Medium Resolution Imaging Spectrometer (MERIS) full resolution dataset for vegetation monitoring as an alternative to the more commonly used Moderate-Resolution Imaging Spectroradiometer (MODIS) data. Time series of vegetation indices calculated from ...