Persistent scatterer estimation using optical remote sensing data, land cover data and topographical maps

Simon Plank; John Singer; Kurosch Thuro

doi:10.1109/IGARSS.2012.6350571

Persistent scatterer estimation using optical remote sensing data, land cover data and topographical maps

Simon Plank, John Singer, Kurosch Thuro

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Technical University of Munich

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

Persistent scatterer interferometry (PS-InSAR) is a powerful remote sensing technique for deformation monitoring of e.g. landslides and subsidence areas. However, a useful PS-InSAR processing requires a stack with at least 15 to 50 SAR images, which is a very important cost factor when applying this method. Previous research for PS-estimation used already acquired SAR data. Here, we present three new methods for estimating PS prior to the test site's radar recording to test whether the PS-InSAR technique can be applied at a certain test site. The three estimation methods use freely available or low-cost optical remote sensing data, land cover data and topographical maps. The results are validated using data of real PS-InSAR processing.

Original language	English
Pages	3855-3858
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6350571
State	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12

Keywords

Persistent Scatterer Interferometry (PSI)
Synthetic aperture radar (SAR)
pre-processing

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10.1109/IGARSS.2012.6350571

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title = "Persistent scatterer estimation using optical remote sensing data, land cover data and topographical maps",

abstract = "Persistent scatterer interferometry (PS-InSAR) is a powerful remote sensing technique for deformation monitoring of e.g. landslides and subsidence areas. However, a useful PS-InSAR processing requires a stack with at least 15 to 50 SAR images, which is a very important cost factor when applying this method. Previous research for PS-estimation used already acquired SAR data. Here, we present three new methods for estimating PS prior to the test site's radar recording to test whether the PS-InSAR technique can be applied at a certain test site. The three estimation methods use freely available or low-cost optical remote sensing data, land cover data and topographical maps. The results are validated using data of real PS-InSAR processing.",

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author = "Simon Plank and John Singer and Kurosch Thuro",

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doi = "10.1109/IGARSS.2012.6350571",

language = "English",

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note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

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AU - Plank, Simon

AU - Singer, John

AU - Thuro, Kurosch

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AB - Persistent scatterer interferometry (PS-InSAR) is a powerful remote sensing technique for deformation monitoring of e.g. landslides and subsidence areas. However, a useful PS-InSAR processing requires a stack with at least 15 to 50 SAR images, which is a very important cost factor when applying this method. Previous research for PS-estimation used already acquired SAR data. Here, we present three new methods for estimating PS prior to the test site's radar recording to test whether the PS-InSAR technique can be applied at a certain test site. The three estimation methods use freely available or low-cost optical remote sensing data, land cover data and topographical maps. The results are validated using data of real PS-InSAR processing.

KW - Persistent Scatterer Interferometry (PSI)

KW - Synthetic aperture radar (SAR)

KW - pre-processing

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T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Persistent scatterer estimation using optical remote sensing data, land cover data and topographical maps

Abstract

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Keywords

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