Time–series Satellite Data Analysis for Assessment of Vegetation Cover in Mongolia

The iterative methods: Jacobi, Gauss-Seidel and SOR methods were incorporated into the acceleration scheme (Chebyshev extrapolation, Residual smoothing, Accelerated

The objective of the present work is to provide an assessment of the conservation status of natural vegetation in the river Maquiné basin. Land cover and physiographic data were used

O uso das novas tecnologias na concepção dos trabalhos escolares envolve o comprometimento de todos os agentes envolvidos (alunos, professores, supervisão e

The main purpose of time series analysis methods is to define the variability of the data in terms of dominant periodic functions, or pattern recognition. In order to apply

the cross-correlation coe ffi cient between the time series of the proxy variable and the variable that is being reconstructed on the basis of the available simultaneous observa-

Time-series analysis is characterized, as a data mining tool which facilitates understanding nature of manufacturing processes and permits prediction of future values of the

This study concluded that MODIS filtered NDVI (Normalized Difference Vegetation Index) time series can generate accurate maps of deciduous forests in different regions.. The maps

In this study, we extracted vegetation coverage information using the dimidiate pixel model of NDVI to provide comparisons and analysis of changes in vegetation coverage over