Land subsidence monitoring in city area by time series interferometric SAR data

Huanyin Yue; Ramon Hanssen; Freek Van Leijen; Peter Marinkovic; Gini Ketelaar; Huadong Guo; Quan Chen

doi:10.1109/IGARSS.2005.1526689

Land subsidence monitoring in city area by time series interferometric SAR data

Huanyin Yue^*, Ramon Hanssen, Freek Van Leijen, Peter Marinkovic, Gini Ketelaar, Huadong Guo, Quan Chen

^*Corresponding author for this work

Mathematical Geodesy and Positioning

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

6 Citations (Scopus)

Abstract

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 language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Place of Publication	Piscataway
Publisher	SPIE
Pages	4590-4592
Number of pages	3
Volume	8
ISBN (Print)	0-7803-9050-4, 9780780390508
DOIs	https://doi.org/10.1109/IGARSS.2005.1526689
Publication status	Published - 2005
Event	2005 IEEE International Geoscience and Remote Sensing Symposium - Seoul, Seoul, Korea, Republic of Duration: 25 Jul 2005 → 29 Jul 2005

Conference

Conference	2005 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARSS 2005
Country/Territory	Korea, Republic of
City	Seoul
Period	25/07/05 → 29/07/05

Keywords

Land subsidence
Phase model
Time series InSAR data

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10.1109/IGARSS.2005.1526689

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title = "Land subsidence monitoring in city area by time series interferometric SAR data",

abstract = "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.",

keywords = "Land subsidence, Phase model, Time series InSAR data",

author = "Huanyin Yue and Ramon Hanssen and {Van Leijen}, Freek and Peter Marinkovic and Gini Ketelaar and Huadong Guo and Quan Chen",

year = "2005",

doi = "10.1109/IGARSS.2005.1526689",

language = "English",

isbn = "0-7803-9050-4",

volume = "8",

pages = "4590--4592",

booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "SPIE",

address = "United States",

note = "2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 ; Conference date: 25-07-2005 Through 29-07-2005",

}

Yue, H, Hanssen, R , Van Leijen, F, Marinkovic, P, Ketelaar, G, Guo, H & Chen, Q 2005, Land subsidence monitoring in city area by time series interferometric SAR data. in International Geoscience and Remote Sensing Symposium (IGARSS). vol. 8, 1526689, SPIE, Piscataway, pp. 4590-4592, 2005 IEEE International Geoscience and Remote Sensing Symposium, Seoul, Korea, Republic of, 25/07/05. https://doi.org/10.1109/IGARSS.2005.1526689

Land subsidence monitoring in city area by time series interferometric SAR data. / Yue, Huanyin; Hanssen, Ramon ; Van Leijen, Freek et al.
International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 8 Piscataway: SPIE, 2005. p. 4590-4592 1526689.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Land subsidence monitoring in city area by time series interferometric SAR data

AU - Yue, Huanyin

AU - Hanssen, Ramon

AU - Van Leijen, Freek

AU - Marinkovic, Peter

AU - Ketelaar, Gini

AU - Guo, Huadong

AU - Chen, Quan

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Land subsidence

KW - Phase model

KW - Time series InSAR data

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DO - 10.1109/IGARSS.2005.1526689

M3 - Conference contribution

AN - SCOPUS:33745728508

SN - 0-7803-9050-4

SN - 9780780390508

VL - 8

SP - 4590

EP - 4592

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

PB - SPIE

CY - Piscataway

T2 - 2005 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 25 July 2005 through 29 July 2005

ER -

Land subsidence monitoring in city area by time series interferometric SAR data

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