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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Bibliographic Details
Main Authors: Makarieva, Olga, Shikhov, Andrey, Ostashov, Andrey, Nesterova, Nataliia
Format: Dataset
Language:English
Published: PANGAEA 2020
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.925405
https://doi.pangaea.de/10.1594/PANGAEA.925405
id ftdatacite:10.1594/pangaea.925405
record_format openpolar
spelling 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
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