In this paper, the time series multi-image stack processing technique is implemented based on the ERS-1, ERS-2 SAR data set of cities of Las Vegas in America. A single master approach is used in the stack data processing based on the permanent scatterers processing technique invented by Ferretti et al. [1,2]. After the differential phase model establishment and stable points selection, linear subsidence velocity and digital elevation model errors are estimated, non-linear subsidence velocity and atmospheric artifacts related to each SAR acquisition are separated, so a land subsidence history covering all the SAR data acquisitions in each city can be achieved. In our research, more test data in cities of China will be implemented in the next step.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Place of PublicationPiscataway
Number of pages3
ISBN (Print)0-7803-9050-4, 9780780390508
Publication statusPublished - 2005
Event2005 IEEE International Geoscience and Remote Sensing Symposium - Seoul, Seoul, Korea, Republic of
Duration: 25 Jul 200529 Jul 2005


Conference2005 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS 2005
CountryKorea, Republic of

    Research areas

  • Land subsidence, Phase model, Time series InSAR data

ID: 4394793