Small temporal baseline subset (Stbas)

A new InSAR technique for multi-temporal monitoring wetland's water level changes

Sang Hoon Hong, Shimon Wdowinski, Sang Wan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Interferometric synthetic aperture radar (InSAR) techniques can successfully detect phase variations related to the water level changes in wetlands and produce high spatial resolution maps of water level changes. We present a new InSAR technique, termed small temporal baseline subset (STBAS), for monitoring not relative but absolute water levels and their variations with time (time series) using successive radar observations over wetlands. Our approach follows the small baseline subset (SBAS) used for monitoring displacement time series of solid earth surfaces. The new STBAS algorithm utilizes highly coherent interferometric phases obtained only with relatively short time difference regardless of spatial baseline. We tested the STBAS technique with two year long Radarsat-1 data acquired over a small section of the Everglades wetlands in south Florida (USA). Our study uses ground-based stage (water level) data for calibration and validation, which indicate a good fit between the InSAR the stage data. The new STBAS technique can transform relative wetland InSAR observations to absolute frame and generates both detailed maps of water levels, as well as water level time series for almost each pixel (50 m resolution).

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume3
Edition1
DOIs
StatePublished - 2008
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: Jul 6 2008Jul 11 2008

Other

Other2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
CountryUnited States
CityBoston, MA
Period7/6/087/11/08

Fingerprint

Wetlands
Water levels
Synthetic aperture radar
synthetic aperture radar
water level
wetland
Monitoring
monitoring
Time series
time series
solid Earth
pixel
Radar
spatial resolution
transform
Pixels
Earth (planet)
radar
Calibration
calibration

Keywords

  • InSAR time series
  • Small baseline subset (SBAS)
  • The Everglades
  • Water level changes
  • Wetlands

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Computer Science Applications

Cite this

Hong, S. H., Wdowinski, S., & Kim, S. W. (2008). Small temporal baseline subset (Stbas): A new InSAR technique for multi-temporal monitoring wetland's water level changes. In International Geoscience and Remote Sensing Symposium (IGARSS) (1 ed., Vol. 3). [4779406] https://doi.org/10.1109/IGARSS.2008.4779406

Small temporal baseline subset (Stbas) : A new InSAR technique for multi-temporal monitoring wetland's water level changes. / Hong, Sang Hoon; Wdowinski, Shimon; Kim, Sang Wan.

International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 3 1. ed. 2008. 4779406.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hong, SH, Wdowinski, S & Kim, SW 2008, Small temporal baseline subset (Stbas): A new InSAR technique for multi-temporal monitoring wetland's water level changes. in International Geoscience and Remote Sensing Symposium (IGARSS). 1 edn, vol. 3, 4779406, 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings, Boston, MA, United States, 7/6/08. https://doi.org/10.1109/IGARSS.2008.4779406
Hong SH, Wdowinski S, Kim SW. Small temporal baseline subset (Stbas): A new InSAR technique for multi-temporal monitoring wetland's water level changes. In International Geoscience and Remote Sensing Symposium (IGARSS). 1 ed. Vol. 3. 2008. 4779406 https://doi.org/10.1109/IGARSS.2008.4779406
Hong, Sang Hoon ; Wdowinski, Shimon ; Kim, Sang Wan. / Small temporal baseline subset (Stbas) : A new InSAR technique for multi-temporal monitoring wetland's water level changes. International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 3 1. ed. 2008.
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