نتایج جستجو برای: enhanced vegetation index
تعداد نتایج: 771222 فیلتر نتایج به سال:
Vegetation responses and ecosystem function are spatially variable and influenced by climate variability. The Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) was used to combine MODIS (Moderate Resolution Imaging Spectrometer) and Landsat TM/ETM+ (Thematic Mapper/ Enhanced Thematic Mapper plus) imagery for an 8 year dataset (2000-2007) at 30m spatial resolution with 8 day interv...
Studies of urban ecological systems can be greatly enhanced by combining ecosystem modelling and remote sensing which often requires establishing statistical relationships between field and remote sensing data. At the Central Arizona–Phoenix Long-Term Ecological Research (CAPLTER) site in the southwestern USA, we estimated vegetation abundance from Landsat ETM + acquired at three dates by compu...
Drought as a complex ecosystem crisis can affect vegetation density and health. Iran with an arid and semi-arid climate is exposed to this phenomenon. Therefore, it is necessary to evaluate the effect of drought on vegetation. The purpose of this study is to evaluate the effect of meteorological drought on vegetation dynamics in Iran. In this regard, using MATLAB software, SPEI index with time ...
The 30-year normalized-difference vegetation index (NDVI) time series from AVHRR/MODIS satellite sensors was used in this study to assess the regional vegetation dynamic changes in the Tao River Basin, which cuts across the Eastern Tibetan Plateau (ETP) and the Southwestern Loess Plateau (SLP). First, principal component and correlation analyses were carried out to determine the key climatic va...
Vegetation indices provide information for various precision-agriculture practices, by providing quantitative data about crop growth and health. To a concise up-to-date review of vegetation in precision agriculture, this study focused on the major with criterion their frequency scientific papers indexed Web Science Core Collection (WoSCC) since 2000. Based topic “precision agriculture” combined...
The Statewide Landcover and Trees Study (SLATS) is currently in the process of mapping woody change across the State of Queensland for the era 1999 to 2001. SLATS covers such a large area that Landsat Thematic Mapper (TM) imagery was chosen as the most effective data for this purpose. Since 1995 the woody change in Queensland has been mapped every two years. The 1999 to 2001 change era is the f...
Vegetation indices have been developed to characterize and extract the Earth's vegetation cover from space using satellite images. For detection of vegetation changes, usually temporal images are independently analyzed or vegetation index differencing is implemented. A review on previous studies reveal that, in spite of developing several vegetation indices, to extract vegetation cover or veget...
Analysis of Vegetation Behavior in a North African Semi-Arid Region, Using SPOT-VEGETATION NDVI Data
The analysis of vegetation dynamics is essential in semi-arid regions, in particular because of the frequent occurrence of long periods of drought. In this paper, multi-temporal series of the Normalized Difference of Vegetation Index (NDVI), derived from SPOT-VEGETATION satellite data between September 1998 and June 2010, were used to analyze the vegetation dynamics over the semi-arid central r...
A growing number of studies have focused on evaluating spectral indices in terms of their sensitivity to vegetation biophysical parameters, as well as to external factors affecting canopy reflectance. In this context, leaf and canopy radiative transfer models are valuable for modeling and understanding the behavior of such indices. In the present work, PROSPECT and SAILH models have been used t...
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