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Satellite based earth observation (EO) platforms have proved capability to spatio-temporally monitor changes on the earth's surface. Long term satellite missions have provided huge repository of optic...
Studying the behavior of some slow phenomena, such as crustal or continental deformations, it is necessary to consider time series data, with a sufficient numerousness that depends on their characteri...
Recent studies have shown the potential of Synthetic Aperture Radars (SAR) for mapping of rice fields and some other vegetation types. For rice field classification, conventional classification tech...
Primary Productivity is the ultimate source of energy for all organisms in an ecosystem. It is associated with the food production and the global carbon cycle. Sensors on remote platforms (satellites)...
Interferometric synthetic aperture radar (InSAR) has become an important geodetic tool for measuring deformation of Earth’s surface due to various geophysical phenomena, including slip on earthquak...
Phase unwrapping is a key issue for PSP (Permanent Scatters Pairs) time series analysis. In this paper, the LLL method and grid search method are applied for determining elevation error and velocity ...
The feasibility of a parameter identification method based on symbolic time series analysis (STSA) and the adaptive immune clonal selection algorithm (AICSA) is studied. Data symbolization by using ST...
Background: The impact of urban air pollution and temperature changes over health is a growing concern for epidemiologists all over the world and particularly for developing countries where fewer stud...
Mangrove forests are fragile coastal ecosystems and could be one of the most vulnerable ecosystems to global climate change and sea-level rise. These forests are formed in the fringe of land and ocean...
Accurate detection of tree growth and ecosystem functioning in naturally vegetated areas is of interest to many applications, such as ecological and land degradation modelling, wildfire risk monitorin...
Characterization of the time-series analysis is presented, as a data mining tool which facilitates better understanding nature of manufacturing process and permits forecasting of future valu...
Characterization of the time-series analysis is presented, as a data mining tool which facilitates better understanding nature of manufacturing process and permits forecasting of future valu...
Interferometric SAR (InSAR), which is an application technique of synthetic aperture radar, is becoming established as the method for monitoring of ground displacement that can observe subtle surface ...
In this paper, a statistical pattern recognition method based on time series analysis is implemented in flexible risers. This method uses a combination of Auto-Regressive (AR) and Auto-Regressive with...

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