Ecological classification of Herschel Island based on supervised classification of multispectral satellite imagery ...

Permafrost landscapes experience different disturbances and store large amounts of organic matter, which may become a source of greenhouse gases upon permafrost degradation. We analysed the influence of terrain and geomorphic disturbances (e.g. soil creep, active-layer detachment, gullying, thaw slu...

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Main Authors: Obu, Jaroslav, Lantuit, Hugues, Myers-Smith, Isla H, Heim, Birgit, Wolter, Juliane, Fritz, Michael
Format: Dataset
Language:English
Published: PANGAEA 2016
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.858786
https://doi.pangaea.de/10.1594/PANGAEA.858786
id ftdatacite:10.1594/pangaea.858786
record_format openpolar
spelling ftdatacite:10.1594/pangaea.858786 2024-09-09T19:25:46+00:00 Ecological classification of Herschel Island based on supervised classification of multispectral satellite imagery ... Obu, Jaroslav Lantuit, Hugues Myers-Smith, Isla H Heim, Birgit Wolter, Juliane Fritz, Michael 2016 application/zip https://dx.doi.org/10.1594/pangaea.858786 https://doi.pangaea.de/10.1594/PANGAEA.858786 en eng PANGAEA https://dx.doi.org/10.1002/ppp.1881 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 Multiple investigations dataset Supplementary Dataset Dataset 2016 ftdatacite https://doi.org/10.1594/pangaea.85878610.1002/ppp.1881 2024-06-17T09:42:43Z Permafrost landscapes experience different disturbances and store large amounts of organic matter, which may become a source of greenhouse gases upon permafrost degradation. We analysed the influence of terrain and geomorphic disturbances (e.g. soil creep, active-layer detachment, gullying, thaw slumping, accumulation of fluvial deposits) on soil organic carbon (SOC) and total nitrogen (TN) storage using 11 permafrost cores from Herschel Island, western Canadian Arctic. Our results indicate a strong correlation between SOC storage and the topographic wetness index. Undisturbed sites stored the majority of SOC and TN in the upper 70 cm of soil. Sites characterised by mass wasting showed significant SOC depletion and soil compaction, whereas sites characterised by the accumulation of peat and fluvial deposits store SOC and TN along the whole core. We upscaled SOC and TN to estimate total stocks using the ecological units determined from vegetation composition, slope angle and the geomorphic disturbance regime. ... : The ecological classification of Herschel Island represents the updated version of ecological units defined by Smith et al. (1989). The supervised classification was performed on RapidEye multispectral imagery and a slope angle layer. Training units and ground truth points were collected during the expedition on Herschel Island in 2013. ... Dataset Arctic Herschel Island permafrost DataCite Arctic Herschel Island ENVELOPE(-139.089,-139.089,69.583,69.583)
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic Multiple investigations
spellingShingle Multiple investigations
Obu, Jaroslav
Lantuit, Hugues
Myers-Smith, Isla H
Heim, Birgit
Wolter, Juliane
Fritz, Michael
Ecological classification of Herschel Island based on supervised classification of multispectral satellite imagery ...
topic_facet Multiple investigations
description Permafrost landscapes experience different disturbances and store large amounts of organic matter, which may become a source of greenhouse gases upon permafrost degradation. We analysed the influence of terrain and geomorphic disturbances (e.g. soil creep, active-layer detachment, gullying, thaw slumping, accumulation of fluvial deposits) on soil organic carbon (SOC) and total nitrogen (TN) storage using 11 permafrost cores from Herschel Island, western Canadian Arctic. Our results indicate a strong correlation between SOC storage and the topographic wetness index. Undisturbed sites stored the majority of SOC and TN in the upper 70 cm of soil. Sites characterised by mass wasting showed significant SOC depletion and soil compaction, whereas sites characterised by the accumulation of peat and fluvial deposits store SOC and TN along the whole core. We upscaled SOC and TN to estimate total stocks using the ecological units determined from vegetation composition, slope angle and the geomorphic disturbance regime. ... : The ecological classification of Herschel Island represents the updated version of ecological units defined by Smith et al. (1989). The supervised classification was performed on RapidEye multispectral imagery and a slope angle layer. Training units and ground truth points were collected during the expedition on Herschel Island in 2013. ...
format Dataset
author Obu, Jaroslav
Lantuit, Hugues
Myers-Smith, Isla H
Heim, Birgit
Wolter, Juliane
Fritz, Michael
author_facet Obu, Jaroslav
Lantuit, Hugues
Myers-Smith, Isla H
Heim, Birgit
Wolter, Juliane
Fritz, Michael
author_sort Obu, Jaroslav
title Ecological classification of Herschel Island based on supervised classification of multispectral satellite imagery ...
title_short Ecological classification of Herschel Island based on supervised classification of multispectral satellite imagery ...
title_full Ecological classification of Herschel Island based on supervised classification of multispectral satellite imagery ...
title_fullStr Ecological classification of Herschel Island based on supervised classification of multispectral satellite imagery ...
title_full_unstemmed Ecological classification of Herschel Island based on supervised classification of multispectral satellite imagery ...
title_sort ecological classification of herschel island based on supervised classification of multispectral satellite imagery ...
publisher PANGAEA
publishDate 2016
url https://dx.doi.org/10.1594/pangaea.858786
https://doi.pangaea.de/10.1594/PANGAEA.858786
long_lat ENVELOPE(-139.089,-139.089,69.583,69.583)
geographic Arctic
Herschel Island
geographic_facet Arctic
Herschel Island
genre Arctic
Herschel Island
permafrost
genre_facet Arctic
Herschel Island
permafrost
op_relation https://dx.doi.org/10.1002/ppp.1881
op_rights Creative Commons Attribution 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_doi https://doi.org/10.1594/pangaea.85878610.1002/ppp.1881
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