REMOTE MAPPING OF SOIL EROSION RISK IN ICELAND
The use of remote-sensing based methods for soil erosion assessment has been increasing in recent years thanks to the availability of free access satellite data, and it has repeatedly proven to be successful. Its application to the Arctic presents a number of challenges, due to its peculiar soils wi...
Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus Publications
2022
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Online Access: | https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-135-2022 https://noa.gwlb.de/receive/cop_mods_00062126 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061454/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/135/2022/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf |
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00062126 2023-05-15T14:55:08+02:00 REMOTE MAPPING OF SOIL EROSION RISK IN ICELAND Fernández, D. Adermann, E. Pizzolato, M. Pechenkin, R. Rodríguez, C. G. 2022-08 electronic https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-135-2022 https://noa.gwlb.de/receive/cop_mods_00062126 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061454/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/135/2022/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf eng eng Copernicus Publications ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences -- http://www.isprs.org/publications/archives.aspx -- 2194-9034 https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-135-2022 https://noa.gwlb.de/receive/cop_mods_00062126 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061454/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/135/2022/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-135-2022 2022-08-14T23:11:55Z The use of remote-sensing based methods for soil erosion assessment has been increasing in recent years thanks to the availability of free access satellite data, and it has repeatedly proven to be successful. Its application to the Arctic presents a number of challenges, due to its peculiar soils with short growing periods, winter storms, wind, and frequent cloud and snow cover. However, the benefits of applying these techniques would be especially valuable in arctic areas, where ground local information can be hard to obtain due to hardly accessible roads and lands. Here we propose a solution which uses a Support Vector machine classification model and ground truth samples to calibrate the processed remote images over a specific area, in order to then automate the analysis for larger, less accessible areas. This solution is being developed for soil erosion studies of Iceland specifically, using Sentinel 2 satellite data combined with local assessment data from Iceland’s Soil Conservation Services department. Article in Journal/Newspaper Arctic Iceland Niedersächsisches Online-Archiv NOA Arctic The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 135 141 |
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Open Polar |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Fernández, D. Adermann, E. Pizzolato, M. Pechenkin, R. Rodríguez, C. G. REMOTE MAPPING OF SOIL EROSION RISK IN ICELAND |
topic_facet |
article Verlagsveröffentlichung |
description |
The use of remote-sensing based methods for soil erosion assessment has been increasing in recent years thanks to the availability of free access satellite data, and it has repeatedly proven to be successful. Its application to the Arctic presents a number of challenges, due to its peculiar soils with short growing periods, winter storms, wind, and frequent cloud and snow cover. However, the benefits of applying these techniques would be especially valuable in arctic areas, where ground local information can be hard to obtain due to hardly accessible roads and lands. Here we propose a solution which uses a Support Vector machine classification model and ground truth samples to calibrate the processed remote images over a specific area, in order to then automate the analysis for larger, less accessible areas. This solution is being developed for soil erosion studies of Iceland specifically, using Sentinel 2 satellite data combined with local assessment data from Iceland’s Soil Conservation Services department. |
format |
Article in Journal/Newspaper |
author |
Fernández, D. Adermann, E. Pizzolato, M. Pechenkin, R. Rodríguez, C. G. |
author_facet |
Fernández, D. Adermann, E. Pizzolato, M. Pechenkin, R. Rodríguez, C. G. |
author_sort |
Fernández, D. |
title |
REMOTE MAPPING OF SOIL EROSION RISK IN ICELAND |
title_short |
REMOTE MAPPING OF SOIL EROSION RISK IN ICELAND |
title_full |
REMOTE MAPPING OF SOIL EROSION RISK IN ICELAND |
title_fullStr |
REMOTE MAPPING OF SOIL EROSION RISK IN ICELAND |
title_full_unstemmed |
REMOTE MAPPING OF SOIL EROSION RISK IN ICELAND |
title_sort |
remote mapping of soil erosion risk in iceland |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-135-2022 https://noa.gwlb.de/receive/cop_mods_00062126 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061454/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/135/2022/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Iceland |
genre_facet |
Arctic Iceland |
op_relation |
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences -- http://www.isprs.org/publications/archives.aspx -- 2194-9034 https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-135-2022 https://noa.gwlb.de/receive/cop_mods_00062126 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061454/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W1-2022/135/2022/isprs-archives-XLVIII-4-W1-2022-135-2022.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-135-2022 |
container_title |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
XLVIII-4/W1-2022 |
container_start_page |
135 |
op_container_end_page |
141 |
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1766326929096441856 |