Spatio-Temporal Tropospheric Variability in Sar Interferograms with Extremely High Temporal Resolution

Fengming Hu; Ramon F. Hanssen

doi:10.1109/IGARSS47720.2021.9554996

Spatio-Temporal Tropospheric Variability in Sar Interferograms with Extremely High Temporal Resolution

Mathematical Geodesy and Positioning

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

Abstract

Atmospheric delay induces spatial phase errors and decorrelation in synthetic aperture radar (SAR) interferometry, especially in extreme weather conditions. For SAR missions, the atmosphere is considered to be spatio-temporally frozen during the aperture integration time, which is correct for Low Earth Orbit (LEO) SAR systems. However, this assumption may be inappropriate for Geosynchronous Earth Orbit (GEO) SAR since it can deploy a much longer integration time. Here we simulate a sequence of refractivity distributions with a high spatio-temporal resolution to analyze the spatio-temporal variable troposphere. The impacts of both frozen flow shift and turbulent delay in the time series in-terferograms are obtained, showing that tropospheric delay varies rapidly and may lead to phase decorrelaton within a few minutes.

Original language	English
Title of host publication	2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Subtitle of host publication	Proceedings
Place of Publication	Danvers
Publisher	IEEE
Pages	2290-2293
Number of pages	4
ISBN (Electronic)	978-1-6654-0369-6
ISBN (Print)	978-1-6654-4762-1
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554996
Publication status	Published - 2021
Event	IGARSS 2021: 2021 IEEE International Geoscience and Remote Sensing Symposium - Virtual at Brussels, Belgium Duration: 11 Jul 2021 → 16 Jul 2021

Conference

Conference	IGARSS 2021
Country/Territory	Belgium
City	Virtual at Brussels
Period	11/07/21 → 16/07/21

Keywords

Tropospheric delay
InSAR
largeeddy simulation

Access to Document

10.1109/IGARSS47720.2021.9554996

Cite this

@inproceedings{0ffb40b9171643759cc90620179d6c6e,

title = "Spatio-Temporal Tropospheric Variability in Sar Interferograms with Extremely High Temporal Resolution",

abstract = "Atmospheric delay induces spatial phase errors and decorrelation in synthetic aperture radar (SAR) interferometry, especially in extreme weather conditions. For SAR missions, the atmosphere is considered to be spatio-temporally frozen during the aperture integration time, which is correct for Low Earth Orbit (LEO) SAR systems. However, this assumption may be inappropriate for Geosynchronous Earth Orbit (GEO) SAR since it can deploy a much longer integration time. Here we simulate a sequence of refractivity distributions with a high spatio-temporal resolution to analyze the spatio-temporal variable troposphere. The impacts of both frozen flow shift and turbulent delay in the time series in-terferograms are obtained, showing that tropospheric delay varies rapidly and may lead to phase decorrelaton within a few minutes.",

keywords = "Tropospheric delay, InSAR, largeeddy simulation",

author = "Fengming Hu and Hanssen, {Ramon F.}",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9554996",

language = "English",

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pages = "2290--2293",

booktitle = "2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS",

publisher = "IEEE ",

address = "United States",

note = "IGARSS 2021 : 2021 IEEE International Geoscience and Remote Sensing Symposium ; Conference date: 11-07-2021 Through 16-07-2021",

}

Spatio-Temporal Tropospheric Variability in Sar Interferograms with Extremely High Temporal Resolution. / Hu, Fengming; Hanssen, Ramon F.

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS: Proceedings. Danvers : IEEE , 2021. p. 2290-2293 9554996.

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

TY - GEN

T1 - Spatio-Temporal Tropospheric Variability in Sar Interferograms with Extremely High Temporal Resolution

AU - Hu, Fengming

AU - Hanssen, Ramon F.

PY - 2021

Y1 - 2021

N2 - Atmospheric delay induces spatial phase errors and decorrelation in synthetic aperture radar (SAR) interferometry, especially in extreme weather conditions. For SAR missions, the atmosphere is considered to be spatio-temporally frozen during the aperture integration time, which is correct for Low Earth Orbit (LEO) SAR systems. However, this assumption may be inappropriate for Geosynchronous Earth Orbit (GEO) SAR since it can deploy a much longer integration time. Here we simulate a sequence of refractivity distributions with a high spatio-temporal resolution to analyze the spatio-temporal variable troposphere. The impacts of both frozen flow shift and turbulent delay in the time series in-terferograms are obtained, showing that tropospheric delay varies rapidly and may lead to phase decorrelaton within a few minutes.

AB - Atmospheric delay induces spatial phase errors and decorrelation in synthetic aperture radar (SAR) interferometry, especially in extreme weather conditions. For SAR missions, the atmosphere is considered to be spatio-temporally frozen during the aperture integration time, which is correct for Low Earth Orbit (LEO) SAR systems. However, this assumption may be inappropriate for Geosynchronous Earth Orbit (GEO) SAR since it can deploy a much longer integration time. Here we simulate a sequence of refractivity distributions with a high spatio-temporal resolution to analyze the spatio-temporal variable troposphere. The impacts of both frozen flow shift and turbulent delay in the time series in-terferograms are obtained, showing that tropospheric delay varies rapidly and may lead to phase decorrelaton within a few minutes.

KW - Tropospheric delay

KW - InSAR

KW - largeeddy simulation

UR - http://www.scopus.com/inward/record.url?scp=85129805349&partnerID=8YFLogxK

U2 - 10.1109/IGARSS47720.2021.9554996

DO - 10.1109/IGARSS47720.2021.9554996

M3 - Conference contribution

SN - 978-1-6654-4762-1

SP - 2290

EP - 2293

BT - 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

PB - IEEE

CY - Danvers

T2 - IGARSS 2021

Y2 - 11 July 2021 through 16 July 2021

ER -

Spatio-Temporal Tropospheric Variability in Sar Interferograms with Extremely High Temporal Resolution

Abstract

Conference

Keywords

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