Retreat of top cliff of Kurungnakh Island, Lena Delta, Siberia, Russia, 2010-2014, with links to shapefiles

Thawing-induced cliff top retreat in permafrost landscapes is mainly due to thermo-erosion. Ground-ice-rich permafrost landscapes are specifically vulnerable to thermo-erosion and may show high degradation rates. Within the HGF Alliance Remote Sensing and the FP7 PAGE21 permafrost programs we invest...

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Main Authors: Stettner, Samuel, Bartsch, Annett, Widhalm, Barbara, Heim, Birgit, Günther, Frank, Morgenstern, Anne, Roth, Achim, Chetverova, Antonina, Fedorova, Irina V
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2015
Subjects:
Ice
Online Access:https://dx.doi.org/10.1594/pangaea.846164
https://doi.pangaea.de/10.1594/PANGAEA.846164
id ftdatacite:10.1594/pangaea.846164
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic DATE/TIME
Date/time end
File content
Uniform resource locator/link to file
Satellite remote sensing
RU-Land_2013_Lena
AWI Arctic Land Expedition
spellingShingle DATE/TIME
Date/time end
File content
Uniform resource locator/link to file
Satellite remote sensing
RU-Land_2013_Lena
AWI Arctic Land Expedition
Stettner, Samuel
Bartsch, Annett
Widhalm, Barbara
Heim, Birgit
Günther, Frank
Morgenstern, Anne
Roth, Achim
Chetverova, Antonina
Fedorova, Irina V
Retreat of top cliff of Kurungnakh Island, Lena Delta, Siberia, Russia, 2010-2014, with links to shapefiles
topic_facet DATE/TIME
Date/time end
File content
Uniform resource locator/link to file
Satellite remote sensing
RU-Land_2013_Lena
AWI Arctic Land Expedition
description Thawing-induced cliff top retreat in permafrost landscapes is mainly due to thermo-erosion. Ground-ice-rich permafrost landscapes are specifically vulnerable to thermo-erosion and may show high degradation rates. Within the HGF Alliance Remote Sensing and the FP7 PAGE21 permafrost programs we investigated how SAR and optical remote sensing can contribute to the monitoring of erosion rates of ice-rich cliffs in Arctic Siberia (Lena Delta, Russia).We produced two different vector products:i) Intra-annual cliff top retreat based on TerraSAR-X (TSX) satellite data (2012-2014):High-temporal resolution time series of TSX satellite data allow the inter-annual and intra-annual monitoring of the upper cliff-line retreat also under bad weather conditions and continuous cloud coverage. This published SAR product contains the retreating upper cliff lines of a 1.5 km long part of eroding ice-rich coast of Kurungnakh Island in the central Lena Delta. The upper cliff line was mapped using a thresholding approach for images acquired in the years 2012, 2013 and 2014 for the months June (2013, 2014), July (2013, 2014), August (2012, 2013, 2014) and September (2013, 2014). The cliff top retreat vector product is called 'upper_cliff_TerraSAR-X'. While the 2014 cliff lines show a clear retreat of 2 to 3 m/month, the cliff top lines for 2012 and 2013 are not chronologically ordered. However, lines from the end of the season of a year are always close to the lines from the beginning of the next summer season, indicating low cliff retreat in winter.ii) 4-year cliff top retreat based on optical satellite data (2010-2014): Long-term cliff top retreat could be assessed with two high-spatial resolution optical satellite images (GeoEye-1, 2010-08-05 and Worldview-1, 2014-08-19). The cliff top retreat vector product is called 'upper_cliff_optical'. Results:The long-term cliff top retreat derived from optical satellite data are 35 m cliff retreat within 4 years. The higher-temporal resolution SAR data equivalently show long-term rates of 18 m within 2 years and nearly now degradation activities in winter but maximum erosion rates in summer months.The Intra-seasonal cliff top retreat lines from 2014 show a rate of 2 to 3 m per month. : Technical details for the TSX processing:For the TSX preprocessing steps, multilooking and terrain correction, the open source software NEST from ESA was used. To improve image quality a simple multilooking using two looks was performed for every image of the time series. Because the eroding coast is observed over a three-year time span and no Digital Elevation Modell is available for each of the acquisition dates, instead an ellipsoid-based correction was performed with a geolocation grid and nearest neighbor resampling with full spatial resolution of 2.5 m in the UTM Map projection WGS84 Zone 52 North.Technical details for the optical satellite data processing:Orthorectification of the 2 optical satellite images on full spatial resolution in the UTM Map projection WGS84 Zone 52 North was performed using the software module OrthoEngine of PCI Geomatica 2014. In the rational functions model in total 7 ground control points (GCPs) and 13 Tie Points were set with an overall GCP RMS of 0.33 meters. GCPs were collected during Expedition "Lena2013" in summer 2013 with a Leica Viva GNSS in real time kinematic - GPS mode.The satellite-derived cliff top retreat product contains the vector files of all discrete cliff top lines in UTM Map projection WGS84 Zone 52. While the 10 cliff top lines from TSX within the study area were digitized in 1:1000 scale, the 2 cliff top lines from the optical reference were digitized in 1:500 scale. There is a lateral shift between the cliff top lines derived from TSX versus the ortho-rectified optical product due to different terrain correction (about 57 meters lateral shift).
format Dataset
author Stettner, Samuel
Bartsch, Annett
Widhalm, Barbara
Heim, Birgit
Günther, Frank
Morgenstern, Anne
Roth, Achim
Chetverova, Antonina
Fedorova, Irina V
author_facet Stettner, Samuel
Bartsch, Annett
Widhalm, Barbara
Heim, Birgit
Günther, Frank
Morgenstern, Anne
Roth, Achim
Chetverova, Antonina
Fedorova, Irina V
author_sort Stettner, Samuel
title Retreat of top cliff of Kurungnakh Island, Lena Delta, Siberia, Russia, 2010-2014, with links to shapefiles
title_short Retreat of top cliff of Kurungnakh Island, Lena Delta, Siberia, Russia, 2010-2014, with links to shapefiles
title_full Retreat of top cliff of Kurungnakh Island, Lena Delta, Siberia, Russia, 2010-2014, with links to shapefiles
title_fullStr Retreat of top cliff of Kurungnakh Island, Lena Delta, Siberia, Russia, 2010-2014, with links to shapefiles
title_full_unstemmed Retreat of top cliff of Kurungnakh Island, Lena Delta, Siberia, Russia, 2010-2014, with links to shapefiles
title_sort retreat of top cliff of kurungnakh island, lena delta, siberia, russia, 2010-2014, with links to shapefiles
publisher PANGAEA - Data Publisher for Earth & Environmental Science
publishDate 2015
url https://dx.doi.org/10.1594/pangaea.846164
https://doi.pangaea.de/10.1594/PANGAEA.846164
long_lat ENVELOPE(166.450,166.450,-77.617,-77.617)
geographic Arctic
Low Cliff
geographic_facet Arctic
Low Cliff
genre Arctic
Ice
lena delta
permafrost
Siberia
genre_facet Arctic
Ice
lena delta
permafrost
Siberia
op_rights Creative Commons Attribution 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/pangaea.846164
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spelling ftdatacite:10.1594/pangaea.846164 2023-05-15T15:17:02+02:00 Retreat of top cliff of Kurungnakh Island, Lena Delta, Siberia, Russia, 2010-2014, with links to shapefiles Stettner, Samuel Bartsch, Annett Widhalm, Barbara Heim, Birgit Günther, Frank Morgenstern, Anne Roth, Achim Chetverova, Antonina Fedorova, Irina V 2015 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.846164 https://doi.pangaea.de/10.1594/PANGAEA.846164 en eng PANGAEA - Data Publisher for Earth & Environmental Science Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 CC-BY DATE/TIME Date/time end File content Uniform resource locator/link to file Satellite remote sensing RU-Land_2013_Lena AWI Arctic Land Expedition Dataset dataset 2015 ftdatacite https://doi.org/10.1594/pangaea.846164 2022-02-09T13:17:41Z Thawing-induced cliff top retreat in permafrost landscapes is mainly due to thermo-erosion. Ground-ice-rich permafrost landscapes are specifically vulnerable to thermo-erosion and may show high degradation rates. Within the HGF Alliance Remote Sensing and the FP7 PAGE21 permafrost programs we investigated how SAR and optical remote sensing can contribute to the monitoring of erosion rates of ice-rich cliffs in Arctic Siberia (Lena Delta, Russia).We produced two different vector products:i) Intra-annual cliff top retreat based on TerraSAR-X (TSX) satellite data (2012-2014):High-temporal resolution time series of TSX satellite data allow the inter-annual and intra-annual monitoring of the upper cliff-line retreat also under bad weather conditions and continuous cloud coverage. This published SAR product contains the retreating upper cliff lines of a 1.5 km long part of eroding ice-rich coast of Kurungnakh Island in the central Lena Delta. The upper cliff line was mapped using a thresholding approach for images acquired in the years 2012, 2013 and 2014 for the months June (2013, 2014), July (2013, 2014), August (2012, 2013, 2014) and September (2013, 2014). The cliff top retreat vector product is called 'upper_cliff_TerraSAR-X'. While the 2014 cliff lines show a clear retreat of 2 to 3 m/month, the cliff top lines for 2012 and 2013 are not chronologically ordered. However, lines from the end of the season of a year are always close to the lines from the beginning of the next summer season, indicating low cliff retreat in winter.ii) 4-year cliff top retreat based on optical satellite data (2010-2014): Long-term cliff top retreat could be assessed with two high-spatial resolution optical satellite images (GeoEye-1, 2010-08-05 and Worldview-1, 2014-08-19). The cliff top retreat vector product is called 'upper_cliff_optical'. Results:The long-term cliff top retreat derived from optical satellite data are 35 m cliff retreat within 4 years. The higher-temporal resolution SAR data equivalently show long-term rates of 18 m within 2 years and nearly now degradation activities in winter but maximum erosion rates in summer months.The Intra-seasonal cliff top retreat lines from 2014 show a rate of 2 to 3 m per month. : Technical details for the TSX processing:For the TSX preprocessing steps, multilooking and terrain correction, the open source software NEST from ESA was used. To improve image quality a simple multilooking using two looks was performed for every image of the time series. Because the eroding coast is observed over a three-year time span and no Digital Elevation Modell is available for each of the acquisition dates, instead an ellipsoid-based correction was performed with a geolocation grid and nearest neighbor resampling with full spatial resolution of 2.5 m in the UTM Map projection WGS84 Zone 52 North.Technical details for the optical satellite data processing:Orthorectification of the 2 optical satellite images on full spatial resolution in the UTM Map projection WGS84 Zone 52 North was performed using the software module OrthoEngine of PCI Geomatica 2014. In the rational functions model in total 7 ground control points (GCPs) and 13 Tie Points were set with an overall GCP RMS of 0.33 meters. GCPs were collected during Expedition "Lena2013" in summer 2013 with a Leica Viva GNSS in real time kinematic - GPS mode.The satellite-derived cliff top retreat product contains the vector files of all discrete cliff top lines in UTM Map projection WGS84 Zone 52. While the 10 cliff top lines from TSX within the study area were digitized in 1:1000 scale, the 2 cliff top lines from the optical reference were digitized in 1:500 scale. There is a lateral shift between the cliff top lines derived from TSX versus the ortho-rectified optical product due to different terrain correction (about 57 meters lateral shift). Dataset Arctic Ice lena delta permafrost Siberia DataCite Metadata Store (German National Library of Science and Technology) Arctic Low Cliff ENVELOPE(166.450,166.450,-77.617,-77.617)