Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data

Radar backscattering properties can be extremely sensitive to the freeze/thaw states of the ground surface. This study aims to evaluate the changes of L-band microwave scattering characteristics between thawed and frozen conditions by using polarimetric scattering mechanism indicators. ALOS PALSAR p...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Author: Sang-Eun Park
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2015
Subjects:
Q
Online Access:https://doi.org/10.3390/rs71215874
https://doaj.org/article/aa6e5b37f6514679b7940655dc305a03
id ftdoajarticles:oai:doaj.org/article:aa6e5b37f6514679b7940655dc305a03
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:aa6e5b37f6514679b7940655dc305a03 2023-05-15T17:56:30+02:00 Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data Sang-Eun Park 2015-12-01T00:00:00Z https://doi.org/10.3390/rs71215874 https://doaj.org/article/aa6e5b37f6514679b7940655dc305a03 EN eng MDPI AG http://www.mdpi.com/2072-4292/7/12/15874 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs71215874 https://doaj.org/article/aa6e5b37f6514679b7940655dc305a03 Remote Sensing, Vol 7, Iss 12, Pp 17135-17148 (2015) synthetic aperture radar (SAR) radar polarimetry microwave scattering mechanism permafrost active layer freeze/thaw ALOS PALSAR Science Q article 2015 ftdoajarticles https://doi.org/10.3390/rs71215874 2022-12-31T04:02:19Z Radar backscattering properties can be extremely sensitive to the freeze/thaw states of the ground surface. This study aims to evaluate the changes of L-band microwave scattering characteristics between thawed and frozen conditions by using polarimetric scattering mechanism indicators. ALOS PALSAR polarimetric mode data acquired in winter and spring seasons over Eastern Siberia are used in this study. Experimental results show that the actual scattering mechanisms and their seasonal variations over various forested and non-forested permafrost ecosystems can be successfully characterized by the polarimetric target decomposition parameters and the polarimetric coherences. In addition, fully polarimetric radar observations exhibit great potential for mapping land cover types and surficial features in the permafrost active layer. Particularly, the co-polarization coherences on the HV-polarization basis and circular-polarization basis were found to be very useful for discriminating different surficial geocryological characteristics in recently burnt forests and thermokarst regions. Article in Journal/Newspaper permafrost Thermokarst Siberia Directory of Open Access Journals: DOAJ Articles Remote Sensing 7 12 17135 17148
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic synthetic aperture radar (SAR)
radar polarimetry
microwave scattering mechanism
permafrost active layer
freeze/thaw
ALOS PALSAR
Science
Q
spellingShingle synthetic aperture radar (SAR)
radar polarimetry
microwave scattering mechanism
permafrost active layer
freeze/thaw
ALOS PALSAR
Science
Q
Sang-Eun Park
Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data
topic_facet synthetic aperture radar (SAR)
radar polarimetry
microwave scattering mechanism
permafrost active layer
freeze/thaw
ALOS PALSAR
Science
Q
description Radar backscattering properties can be extremely sensitive to the freeze/thaw states of the ground surface. This study aims to evaluate the changes of L-band microwave scattering characteristics between thawed and frozen conditions by using polarimetric scattering mechanism indicators. ALOS PALSAR polarimetric mode data acquired in winter and spring seasons over Eastern Siberia are used in this study. Experimental results show that the actual scattering mechanisms and their seasonal variations over various forested and non-forested permafrost ecosystems can be successfully characterized by the polarimetric target decomposition parameters and the polarimetric coherences. In addition, fully polarimetric radar observations exhibit great potential for mapping land cover types and surficial features in the permafrost active layer. Particularly, the co-polarization coherences on the HV-polarization basis and circular-polarization basis were found to be very useful for discriminating different surficial geocryological characteristics in recently burnt forests and thermokarst regions.
format Article in Journal/Newspaper
author Sang-Eun Park
author_facet Sang-Eun Park
author_sort Sang-Eun Park
title Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data
title_short Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data
title_full Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data
title_fullStr Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data
title_full_unstemmed Variations of Microwave Scattering Properties by Seasonal Freeze/Thaw Transition in the Permafrost Active Layer Observed by ALOS PALSAR Polarimetric Data
title_sort variations of microwave scattering properties by seasonal freeze/thaw transition in the permafrost active layer observed by alos palsar polarimetric data
publisher MDPI AG
publishDate 2015
url https://doi.org/10.3390/rs71215874
https://doaj.org/article/aa6e5b37f6514679b7940655dc305a03
genre permafrost
Thermokarst
Siberia
genre_facet permafrost
Thermokarst
Siberia
op_source Remote Sensing, Vol 7, Iss 12, Pp 17135-17148 (2015)
op_relation http://www.mdpi.com/2072-4292/7/12/15874
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs71215874
https://doaj.org/article/aa6e5b37f6514679b7940655dc305a03
op_doi https://doi.org/10.3390/rs71215874
container_title Remote Sensing
container_volume 7
container_issue 12
container_start_page 17135
op_container_end_page 17148
_version_ 1766164676193812480