We explored relationships of water quality parameters with landscape pattern metrics (LPMs), land use-land cover (LULC) proportions, and the advanced very high resolution radiometer (AVHRR) normalized difference vegetation index (NDVI) or NDVI-derived metrics. Stream sites (271) in Nebraska, Kansas, and Missouri were sampled for water quality parameters, the index of biotic integrity, and a hab...

Soil fertility in smallholder farming areas is known to vary strongly on multiple scales. This study measures the sensitivity of the recorded satellite signal to on-farm soil fertility treatments applied to five crop types, and quantifies this fertilization effect with respect to within-field variation, between-field variation and field position in the catena. Plant growth was assessed in 5–6 p...

During the growing season in the central United States, severe thunderstorms frequently occur and produce large hail that damages the underlying vegetation, often in agricultural areas. Satellite remote sensing provides a tool for identifying these damaged areas. Previous studies have used changes in the normalized difference vegetation index (NDVI) to identify and examine these areas of damage...

Host-seeking ticks were collected during monthly dragging sessions from November 2004 throughOctober 2006 inTuscany, central Italy.Normalizeddifference vegetation index (NDVI), which was calculated from Landsat ETM 7 remote sensing data recorded in August 2001, was signiÞcantly correlated with numbers of host-seeking immature Ixodes ricinus L. (Acari: Ixodidae) during periods of relatively low ...

Zhang et al. (1) report that the green-up dates in the Tibetan Plateau (TP) have continuously advanced from 1982 to 2011. They retrieved green-up dates from the multiannual time-series of Normalized Difference Vegetation Index (NDVI) using the method proposed by Piao et al. (2). This method assumes that the nongrowing season NDVI values remain constant among the different years and thus require...

Using the National Aeronautics and Space Administration (NASA) Global Inventory, Monitoring, and Modeling Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) dataset (1982–2006), Yu et al. (1) found that the trend of advancing spring phenology for alpine steppe and meadow was reversed around 2000, despite the increasing air temperature over the Tibetan Plateau. This phenomenon cannot ...

A study to determine whether root rot infestations can be detected using high spatial resolution digital multispectral video (DMSV) data was conducted in the Imperial Valley of California. DMSV data were collected on two dates over 25 fields during the summer of 1999 using a light aircraft. The DMSV images included four spectral bands centered on 530 nm, 570 nm, 650 nm and 750 nm, with nominal ...

The successful development of an optimal canopy vegetation index dynamic model for obtaining higher yield can offer a technical approach for real-time and nondestructive diagnosis of rice (Oryza sativa L) growth and nitrogen (N) nutrition status. In this study, multiple rice cultivars and N treatments of experimental plots were carried out to obtain: normalized difference vegetation index (NDVI...

The Normalized Difference Vegetation Index (NDVI) is widely used for monitoring, analyzing, and mapping temporal and spatial distributions of physiological and biophysical characteristics of vegetation. It is well documented that the NDVI approaches saturation asymptotically under conditions of moderate-to-high aboveground biomass. While reflectance in the red region (rho(red)) exhibits a nearl...

Arctic vegetation distribution is largely controlled by climate, particularly summer temperatures. Summer temperatures have been increasing in the Arctic and this trend is expected to continue. Arctic vegetation has been shown to change in response to increases in summer temperatures, which in turn affects arctic fauna, human communities and industries. An understanding of the relationship of e...