A Non-Stationary Periodic Temporal Decorrelation Model for Insar Stacks Over Pasture Areas

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Temporal decorrelation is one of the main error sources in satellite radar interferometry. As the range of physical mechanisms causing temporal decorrelation is wide, there is no single analytical method to model this effect. Recent studies report seasonally varying coherence behavior over pasture areas, which cannot be described by the current analytical models of temporal decorrelation. To acknowledge this periodicity, we introduce a new analytical model. Here, the hypothetical movements of elementary scatterers within resolution cells are modeled as a periodic stochastic process with non-stationary increments. The proposed model is a function of the temporal baseline and the date of the master image of each interferogram. The parameters of the proposed decorrelation model have been estimated and validated for a case study in the Netherlands
Original languageEnglish
Title of host publicationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
EditorsJose Moreno
PublisherIEEE
Pages1360-1363
Volume2018
ISBN (Electronic)978-1-5386-7150-4
ISBN (Print)978-1-5386-7151-1
DOIs
Publication statusPublished - 2018
EventIGARSS 2018: 2018 IEEE International Geoscience and Remote Sensing Symposium: Observing, Understanding And Forecasting The Dynamics Of Our Planet - Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38
https://www.igarss2018.org/

Conference

ConferenceIGARSS 2018: 2018 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS 2018
CountrySpain
CityValencia
Period22/07/1827/07/18
Internet address

Keywords

  • SAR
  • InSAR
  • radar interferometry
  • Coherence
  • temporal decorrelation

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