Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data

Drained thermokarst lake basins accumulate significant amounts of soil organic carbon in the form of peat, which is of interest to understanding carbon cycling and climate change feedbacks associated with thermokarst in the Arctic. Remote sensing is a tool useful for understanding temporal and spati...

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Published in:Remote Sensing
Main Authors: Prajna Regmi, Guido Grosse, Miriam C. Jones, Benjamin M. Jones, Katey Walter Anthony
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2012
Subjects:
Q
Ice
Online Access:https://doi.org/10.3390/rs4123741
https://doaj.org/article/22fbd13b470f483581b26ee0030b1dfc
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spelling ftdoajarticles:oai:doaj.org/article:22fbd13b470f483581b26ee0030b1dfc 2023-05-15T15:03:35+02:00 Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data Prajna Regmi Guido Grosse Miriam C. Jones Benjamin M. Jones Katey Walter Anthony 2012-11-01T00:00:00Z https://doi.org/10.3390/rs4123741 https://doaj.org/article/22fbd13b470f483581b26ee0030b1dfc EN eng MDPI AG http://www.mdpi.com/2072-4292/4/12/3741 https://doaj.org/toc/2072-4292 doi:10.3390/rs4123741 2072-4292 https://doaj.org/article/22fbd13b470f483581b26ee0030b1dfc Remote Sensing, Vol 4, Iss 12, Pp 3741-3765 (2012) thermokarst lake drained thermokarst lake basin X-band SAR arctic peatland succession permafrost land surface age determination Science Q article 2012 ftdoajarticles https://doi.org/10.3390/rs4123741 2022-12-31T11:26:41Z Drained thermokarst lake basins accumulate significant amounts of soil organic carbon in the form of peat, which is of interest to understanding carbon cycling and climate change feedbacks associated with thermokarst in the Arctic. Remote sensing is a tool useful for understanding temporal and spatial dynamics of drained basins. In this study, we tested the application of high-resolution X-band Synthetic Aperture Radar (SAR) data of the German TerraSAR-X satellite from the 2009 growing season (July–September) for characterizing drained thermokarst lake basins of various age in the ice-rich permafrost region of the northern Seward Peninsula, Alaska. To enhance interpretation of patterns identified in X-band SAR for these basins, we also analyzed the Normalized Difference Vegetation Index (NDVI) calculated from a Landsat-5 Thematic Mapper image acquired on July 2009 and compared both X-band SAR and NDVI data with observations of basin age. We found significant logarithmic relationships between (a) TerraSAR-X backscatter and basin age from 0 to 10,000 years, (b) Landat-5 TM NDVI and basin age from 0 to 10,000 years, and (c) TerraSAR-X backscatter and basin age from 50 to 10,000 years. NDVI was a better indicator of basin age over a period of 0–10,000 years. However, TerraSAR-X data performed much better for discriminating radiocarbon-dated basins (50–10,000 years old). No clear relationships were found for either backscatter or NDVI and basin age from 0 to 50 years. We attribute the decreasing trend of backscatter and NDVI with increasing basin age to post-drainage changes in the basin surface. Such changes include succession in vegetation, soils, hydrology, and renewed permafrost aggradation, ground ice accumulation and localized frost heave. Results of this study show the potential application of X-band SAR data in combination with NDVI data to map long-term succession dynamics of drained thermokarst lake basins. Article in Journal/Newspaper Arctic Climate change Ice permafrost Seward Peninsula Thermokarst Alaska Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 4 12 3741 3765
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic thermokarst lake
drained thermokarst lake basin
X-band SAR
arctic peatland succession
permafrost
land surface age determination
Science
Q
spellingShingle thermokarst lake
drained thermokarst lake basin
X-band SAR
arctic peatland succession
permafrost
land surface age determination
Science
Q
Prajna Regmi
Guido Grosse
Miriam C. Jones
Benjamin M. Jones
Katey Walter Anthony
Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data
topic_facet thermokarst lake
drained thermokarst lake basin
X-band SAR
arctic peatland succession
permafrost
land surface age determination
Science
Q
description Drained thermokarst lake basins accumulate significant amounts of soil organic carbon in the form of peat, which is of interest to understanding carbon cycling and climate change feedbacks associated with thermokarst in the Arctic. Remote sensing is a tool useful for understanding temporal and spatial dynamics of drained basins. In this study, we tested the application of high-resolution X-band Synthetic Aperture Radar (SAR) data of the German TerraSAR-X satellite from the 2009 growing season (July–September) for characterizing drained thermokarst lake basins of various age in the ice-rich permafrost region of the northern Seward Peninsula, Alaska. To enhance interpretation of patterns identified in X-band SAR for these basins, we also analyzed the Normalized Difference Vegetation Index (NDVI) calculated from a Landsat-5 Thematic Mapper image acquired on July 2009 and compared both X-band SAR and NDVI data with observations of basin age. We found significant logarithmic relationships between (a) TerraSAR-X backscatter and basin age from 0 to 10,000 years, (b) Landat-5 TM NDVI and basin age from 0 to 10,000 years, and (c) TerraSAR-X backscatter and basin age from 50 to 10,000 years. NDVI was a better indicator of basin age over a period of 0–10,000 years. However, TerraSAR-X data performed much better for discriminating radiocarbon-dated basins (50–10,000 years old). No clear relationships were found for either backscatter or NDVI and basin age from 0 to 50 years. We attribute the decreasing trend of backscatter and NDVI with increasing basin age to post-drainage changes in the basin surface. Such changes include succession in vegetation, soils, hydrology, and renewed permafrost aggradation, ground ice accumulation and localized frost heave. Results of this study show the potential application of X-band SAR data in combination with NDVI data to map long-term succession dynamics of drained thermokarst lake basins.
format Article in Journal/Newspaper
author Prajna Regmi
Guido Grosse
Miriam C. Jones
Benjamin M. Jones
Katey Walter Anthony
author_facet Prajna Regmi
Guido Grosse
Miriam C. Jones
Benjamin M. Jones
Katey Walter Anthony
author_sort Prajna Regmi
title Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data
title_short Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data
title_full Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data
title_fullStr Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data
title_full_unstemmed Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data
title_sort characterizing post-drainage succession in thermokarst lake basins on the seward peninsula, alaska with terrasar-x backscatter and landsat-based ndvi data
publisher MDPI AG
publishDate 2012
url https://doi.org/10.3390/rs4123741
https://doaj.org/article/22fbd13b470f483581b26ee0030b1dfc
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Ice
permafrost
Seward Peninsula
Thermokarst
Alaska
genre_facet Arctic
Climate change
Ice
permafrost
Seward Peninsula
Thermokarst
Alaska
op_source Remote Sensing, Vol 4, Iss 12, Pp 3741-3765 (2012)
op_relation http://www.mdpi.com/2072-4292/4/12/3741
https://doaj.org/toc/2072-4292
doi:10.3390/rs4123741
2072-4292
https://doaj.org/article/22fbd13b470f483581b26ee0030b1dfc
op_doi https://doi.org/10.3390/rs4123741
container_title Remote Sensing
container_volume 4
container_issue 12
container_start_page 3741
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