Characteristics of aufeis in the Kolyma River basin derived from Landsat images (2013-2017) ...
Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season (e.g. between May, 17 and June, 16), to detect the highest possible number of a...
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Online Access: | https://dx.doi.org/10.1594/pangaea.925405 https://doi.pangaea.de/10.1594/PANGAEA.925405 |
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ftdatacite:10.1594/pangaea.925405 2024-06-09T07:47:30+00:00 Characteristics of aufeis in the Kolyma River basin derived from Landsat images (2013-2017) ... Makarieva, Olga Shikhov, Andrey Ostashov, Andrey Nesterova, Nataliia 2020 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.925405 https://doi.pangaea.de/10.1594/PANGAEA.925405 en eng PANGAEA https://dx.doi.org/10.3390/rs14174248 https://dx.doi.org/10.1594/pangaea.925406 https://dx.doi.org/10.1594/pangaea.925404 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 aufeis Landsat the Kolyma River Reference/source Identification DATE/TIME Comment Aufeis area LONGITUDE LATITUDE ELEVATION Multiple investigations Remote sensing Landsat Aster GDEM Dataset dataset 2020 ftdatacite https://doi.org/10.1594/pangaea.92540510.3390/rs1417424810.1594/pangaea.92540610.1594/pangaea.925404 2024-05-13T12:44:57Z Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season (e.g. between May, 17 and June, 16), to detect the highest possible number of aufeis. Critical values of Normalized Difference Snow Index (NDSI) were used for semi-automated aufeis detection. However, a detailed expert-based verification was performed after automated procedure, to distinguish snow-covered areas from aufeis and cross-reference historical and satellite-based data collections. According to Landsat data, the number of aufeis reaches 2216, with their total area about 879.7 km2. The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments. ... Dataset kolyma river DataCite Metadata Store (German National Library of Science and Technology) Kolyma ENVELOPE(161.000,161.000,69.500,69.500) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
aufeis Landsat the Kolyma River Reference/source Identification DATE/TIME Comment Aufeis area LONGITUDE LATITUDE ELEVATION Multiple investigations Remote sensing Landsat Aster GDEM |
spellingShingle |
aufeis Landsat the Kolyma River Reference/source Identification DATE/TIME Comment Aufeis area LONGITUDE LATITUDE ELEVATION Multiple investigations Remote sensing Landsat Aster GDEM Makarieva, Olga Shikhov, Andrey Ostashov, Andrey Nesterova, Nataliia Characteristics of aufeis in the Kolyma River basin derived from Landsat images (2013-2017) ... |
topic_facet |
aufeis Landsat the Kolyma River Reference/source Identification DATE/TIME Comment Aufeis area LONGITUDE LATITUDE ELEVATION Multiple investigations Remote sensing Landsat Aster GDEM |
description |
Present-day aufeis dataset was created by Landsat-8 OLI images for the period 2013-2019. Each aufeis was delineated by satellite images as polygon. Cloud-free Landsat images are obtained immediately after snowmelt season (e.g. between May, 17 and June, 16), to detect the highest possible number of aufeis. Critical values of Normalized Difference Snow Index (NDSI) were used for semi-automated aufeis detection. However, a detailed expert-based verification was performed after automated procedure, to distinguish snow-covered areas from aufeis and cross-reference historical and satellite-based data collections. According to Landsat data, the number of aufeis reaches 2216, with their total area about 879.7 km2. The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments. ... |
format |
Dataset |
author |
Makarieva, Olga Shikhov, Andrey Ostashov, Andrey Nesterova, Nataliia |
author_facet |
Makarieva, Olga Shikhov, Andrey Ostashov, Andrey Nesterova, Nataliia |
author_sort |
Makarieva, Olga |
title |
Characteristics of aufeis in the Kolyma River basin derived from Landsat images (2013-2017) ... |
title_short |
Characteristics of aufeis in the Kolyma River basin derived from Landsat images (2013-2017) ... |
title_full |
Characteristics of aufeis in the Kolyma River basin derived from Landsat images (2013-2017) ... |
title_fullStr |
Characteristics of aufeis in the Kolyma River basin derived from Landsat images (2013-2017) ... |
title_full_unstemmed |
Characteristics of aufeis in the Kolyma River basin derived from Landsat images (2013-2017) ... |
title_sort |
characteristics of aufeis in the kolyma river basin derived from landsat images (2013-2017) ... |
publisher |
PANGAEA |
publishDate |
2020 |
url |
https://dx.doi.org/10.1594/pangaea.925405 https://doi.pangaea.de/10.1594/PANGAEA.925405 |
long_lat |
ENVELOPE(161.000,161.000,69.500,69.500) |
geographic |
Kolyma |
geographic_facet |
Kolyma |
genre |
kolyma river |
genre_facet |
kolyma river |
op_relation |
https://dx.doi.org/10.3390/rs14174248 https://dx.doi.org/10.1594/pangaea.925406 https://dx.doi.org/10.1594/pangaea.925404 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.92540510.3390/rs1417424810.1594/pangaea.92540610.1594/pangaea.925404 |
_version_ |
1801378620918202368 |