Title :
Delta-K interferometric SAR technique for snow water equivalent (SWE) retrieval
Author :
Engen, Geir ; Guneriussen, Tore ; Overrein, Øyvind
Author_Institution :
NORUT Inf. Technol. Ltd., Oslo, Norway
fDate :
4/1/2004 12:00:00 AM
Abstract :
This letter describes the concept of using delta-K technique on interferometric synthetic aperture radar (InSAR) data for deriving the snow water equivalent (SWE) of dry snow-covered ground by utilizing the presence of scatterers in both datasets. The main scattering contribution from a dry snow cover is from the snow-ground interface. Thus, the interferometric phase of two SAR images, one with no snow and one with dry snow cover, contains information on the SWE. By performing a delta-K processing of the two SAR scenes followed by averaging, an estimation of the SWE can be achieved. The first step in the delta-K InSAR processing is to split the band into two nonoverlapping subfrequency band images. The resulting two subband images then contain two new carrier frequencies with a small delta frequency or delta-K separation. The next step is to multiply the two subband images together to obtain the delta-K image, one for summer and one for winter. Finally, the delta-K interferometric SAR image is generated by multiplying the two delta-K images from summer and winter together. In this letter, experimental results using European Remote sensing Satellite 1 (ERS-1) data from a summer and winter situation show that the delta-K phase can be estimated to a few degrees accuracy for an area of 10×10 km2 corresponding to an SWE accuracy of approximately 100 mm.
Keywords :
geophysical signal processing; radar imaging; remote sensing by radar; snow; synthetic aperture radar; European Remote sensing Satellite 1 data; SAR images; carrier frequencies; delta-K interferometric SAR image; delta-K interferometric SAR processing; delta-K separation; dry snow-covered ground; interferometric synthetic aperture radar data; nonoverlapping subfrequency band images; scattering contribution; snow water equivalent retrieval; snow-ground interface; Floods; Frequency; Hydroelectric power generation; Information retrieval; Radar scattering; Remote sensing; Satellites; Snow; Synthetic aperture radar interferometry; Water resources;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2003.822880