We analyze time series of daily positions estimated from data collected by 10 continuously
monitoring Global Positioning System (GPS) sites in southern California during the 19 …

Time series of remote sensing imagery or derived vegetation indices and biophysical
products have been shown particularly useful to characterize land ecosystem dynamics …

Until recently, it was typically assumed that only white noise was present in geodetic time
series. However, several data sets have now provided evidence for the presence of power …

This work compares time, frequency and state-space analyses of pressure measurements
from fluidized beds. The experiments were carried out in a circulating fluidized bed …

Karstic watersheds appear as highly non-linear and non-stationary systems. The main focus
of this paper is a heuristic study of this non-stationarity using a time-scale localisation …

We discuss and compare the multifractal temporal scaling properties of precipitation and
river discharge records on large timescales. To detect long‐term correlations and multifractal …

The recent emergence and widespread use of remote sensing and geographic information
systems (GIS) has prompted new interest in scale as a key component of these and other …

Interferometric synthetic aperture radar (INSAR), like other astronomic and space geodetic
techniques, is limited by the spatially and temporally variable delay of electromagnetic …

The only integrative approach to chaos and random fractal theory Chaos and random fractal
theory are two of the most important theories developed for data analysis. Until now, there …

We have re-examined the inertial range behavior of a passive scalar which is advected by a
large-scale velocity field causing a cascade of tracer variance to small scales, where it is …