RAPID DAMAGE MAPPING IN AREAS OF CONFLICT BY MEANS OF SENTINEL-1 TIME SERIES: THE KYIV TEST CASE

Mattia Stasolla; Xavier Neyt

doi:10.1109/IGARSS52108.2023.10283216

RAPID DAMAGE MAPPING IN AREAS OF CONFLICT BY MEANS OF SENTINEL-1 TIME SERIES: THE KYIV TEST CASE

Remote Sensing

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

The all-weather capabilities of SAR satellite sensors make them a powerful tool for the regular and consistent monitoring of large areas of interest. In particular, they could be used to gather information that would be otherwise difficult to obtain with in-situ campaigns, as for instance when it comes to assess the extent of damages in the aftermath of disastrous events. In this paper we show how the PELT change point detection algorithm can be used to analyze time series of Sentinel-1 images for rapid damage mapping in areas of conflict. Despite the sensor’s limited spatial resolution, the results show that, even with relatively short time series and using both polarizations, it is possible to achieve satisfactory detection rates.

Original language	English
Pages (from-to)	5750-5773
Number of pages	24
Journal	International Geoscience and Remote Sensing Symposium (IGARSS)
DOIs	https://doi.org/10.1109/IGARSS52108.2023.10283216
Publication status	Published - 2023
Event	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023 https://2023.ieeeigarss.org/

Keywords

rapid damage mapping
Sentinel-1
time series analysis

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10.1109/IGARSS52108.2023.10283216

Cite this

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title = "RAPID DAMAGE MAPPING IN AREAS OF CONFLICT BY MEANS OF SENTINEL-1 TIME SERIES: THE KYIV TEST CASE",

abstract = "The all-weather capabilities of SAR satellite sensors make them a powerful tool for the regular and consistent monitoring of large areas of interest. In particular, they could be used to gather information that would be otherwise difficult to obtain with in-situ campaigns, as for instance when it comes to assess the extent of damages in the aftermath of disastrous events. In this paper we show how the PELT change point detection algorithm can be used to analyze time series of Sentinel-1 images for rapid damage mapping in areas of conflict. Despite the sensor{\textquoteright}s limited spatial resolution, the results show that, even with relatively short time series and using both polarizations, it is possible to achieve satisfactory detection rates.",

keywords = "rapid damage mapping, Sentinel-1, time series analysis",

author = "Mattia Stasolla and Xavier Neyt",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",

year = "2023",

doi = "10.1109/IGARSS52108.2023.10283216",

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T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023

AU - Stasolla, Mattia

AU - Neyt, Xavier

PY - 2023

Y1 - 2023

N2 - The all-weather capabilities of SAR satellite sensors make them a powerful tool for the regular and consistent monitoring of large areas of interest. In particular, they could be used to gather information that would be otherwise difficult to obtain with in-situ campaigns, as for instance when it comes to assess the extent of damages in the aftermath of disastrous events. In this paper we show how the PELT change point detection algorithm can be used to analyze time series of Sentinel-1 images for rapid damage mapping in areas of conflict. Despite the sensor’s limited spatial resolution, the results show that, even with relatively short time series and using both polarizations, it is possible to achieve satisfactory detection rates.

AB - The all-weather capabilities of SAR satellite sensors make them a powerful tool for the regular and consistent monitoring of large areas of interest. In particular, they could be used to gather information that would be otherwise difficult to obtain with in-situ campaigns, as for instance when it comes to assess the extent of damages in the aftermath of disastrous events. In this paper we show how the PELT change point detection algorithm can be used to analyze time series of Sentinel-1 images for rapid damage mapping in areas of conflict. Despite the sensor’s limited spatial resolution, the results show that, even with relatively short time series and using both polarizations, it is possible to achieve satisfactory detection rates.

KW - rapid damage mapping

KW - Sentinel-1

KW - time series analysis

UR - https://www.scopus.com/pages/publications/105030866977

U2 - 10.1109/IGARSS52108.2023.10283216

DO - 10.1109/IGARSS52108.2023.10283216

M3 - Conference article

AN - SCOPUS:105030866977

SN - 2153-6996

SP - 5750

EP - 5773

JO - International Geoscience and Remote Sensing Symposium (IGARSS)

JF - International Geoscience and Remote Sensing Symposium (IGARSS)

Y2 - 16 July 2023 through 21 July 2023

ER -

RAPID DAMAGE MAPPING IN AREAS OF CONFLICT BY MEANS OF SENTINEL-1 TIME SERIES: THE KYIV TEST CASE

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Keywords

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