satellite imagery was used as a rapid and spatially explicit method to delineate crop residue cover and to estimate the use and intensity of conservation tillage. the potential of multispectral high-spatial resolution of worldview-2 local data was evaluated using 11 satellite spectral indices and linear spectral unmixing analysis (lsua). experimental plots were examined; residue cover was measu...

abstract the urmia lake as an important water body in the northwest of iran, recently is faced with a critical level reduction, which makes it important to evaluate the causes. in this regard understanding of the lake's behavior and assessing effect of tele-connections on lake level oscillations is necessary. this subject constructs objective of the present paper that applies the spectral analy...

vertebrobasilar insufficiency is the cause of cerebrovascular accidents in 20% of cases. there are few reports regarding spectral doppler indices (sdis) of vertebral arteries (vas) normal blood flow. the objective of this study was to provide basic reference data about sdis of vas normal blood flow separately and in comparison with internal carotid arteries (icas) and common carotid arteries (c...

In recent decades many researchers have studied on the damage assessment of structures after a seismic event. To assess the damage of structures under an earthquake, it is so important to study the correlations between earthquake parameters and damages of the structures. A lot of seismic parameters have been defined by researchers to characterize an earthquake. Spectral parameters of an earthqu...

rice cultivated areas and yield information is indispensable for sustainable management and economic policy making for this strategic food crop. introduction of high spectral and special resolution satellite data has enabled production of such information in a timely and accurate manner. knowledge of the spectral reflectance of various land covers is a prerequisite for their identification and ...

Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content ) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and total Chl content could be accurately predicted using spectral indices collected at different stages of wheat growth. Firstly, the product of the opt...

Interval type-2 fuzzy c-means (IT2FCM) clustering methods for remote-sensing data classification are based on interval type-2 fuzzy sets and can effectively handle uncertainty of membership grade. However, most of these methods neglect the spatial information when they are used in image clustering. The spatial information and spectral indices are useful in remote-sensing data classification. Th...

Leaf equivalent water thickness (LEWT) is an important indicator of crop water status. Effectively monitoring the water status of wheat under different nitrogen treatments is important for effective water management in precision agriculture. Trends in the variation of LEWT in wheat plants during plant growth were analyzed based on field experiments in which wheat plants under various water and ...