Comparison of Repeat Track Interferometric Correlation Signatures from
ERS-1, ERS Tandem, SIR-C, and JERS-1
L. Werner, Scott Hensley and Paul A. Rosen
4800 Oak Grove Drive
Pasadena, California, USA 91109
Remote Sensing AG
CH-3074 Muri/Bern, Switzerland
The interferometric correlation coefficient is a function of frequency,
baseline geometry, temporal separation, scatterer geometry, and sensor
parameters such as SNR and resolution. Temporal change and volumetric scattering
measured via the correlation is very useful for land use classification,
forest studies, agricultural monitoring, natural disaster damage assessment
and estimation of topographic errors in interferometrically derived digital
elevation models. We compare repeat track interferometric (RTI) data derived
from ERS-1, ERS-2/Tandem, SIR-C, JERS-1, over a wide range of terrain classes
(desert, tropical rain forest, fields, and forest) from regions in USA,
South America, and central Europe. Comparison of SIR-C RTI images over
the South American rain forest at both L- and C-Band reveal that only at
L-Band is there sufficient correlation for forest classification and mapping.
Topographic maps generated for an arid region near Fort Irwin in the Mojave
Desert using JERS-1, ERS, and SIR-C are presented and compared to a precision
reference DEM. The observed height errors are consistent with those predicted
from the correlation coefficient.
C-Band RTI correlation data from the tandem ERS-1/2 mission are used
to generate a land use classification map for a region in Switzerland.
This will be compared with SIR-C derived classification utilizing both
L- and C-band data for a similar region near Lucens in Switzerland.
JERS-1 has demonstrated that long time interval RTI is possible for
temperate regions. After the Kobe Earthquake, regions that suffered liquifaction
decorrelated demonstrating the potential for earthquake damage assessment.
The impact of these observations on the design of future interferometric
missions is discussed.
coefficient, classification, interferometry, topography, disaster monitoring
Keywords: ESA European
Space Agency - Agence spatiale europeenne,
observation de la terre, earth observation,
satellite remote sensing,
teledetection, geophysique, altimetrie, radar,
chimique atmospherique, geophysics, altimetry, radar,