Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019) ...

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, to detect the highest possible number of aufeis. Critical values of Normalized...

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Bibliographic Details
Main Authors: Makarieva, Olga, Shikhov, Andrey, Ostashov, Andrey, Nesterova, Nataliia, Semakina, Anastassiya
Format: Dataset
Language:English
Published: PANGAEA 2020
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.925430
https://doi.pangaea.de/10.1594/PANGAEA.925430
id ftdatacite:10.1594/pangaea.925430
record_format openpolar
spelling ftdatacite:10.1594/pangaea.925430 2024-06-09T07:45:24+00:00 Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019) ... Makarieva, Olga Shikhov, Andrey Ostashov, Andrey Nesterova, Nataliia Semakina, Anastassiya 2020 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.925430 https://doi.pangaea.de/10.1594/PANGAEA.925430 en eng PANGAEA https://dx.doi.org/10.3390/rs14174248 https://dx.doi.org/10.1594/pangaea.925440 https://dx.doi.org/10.1594/pangaea.925439 https://dx.doi.org/10.1594/pangaea.925416 https://dx.doi.org/10.1594/pangaea.925429 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 aufeis Chukitka Historical Cadastre Landsat Reference/source Identification DATE/TIME Comment Aufeis area LATITUDE LONGITUDE ELEVATION Multiple investigations Remote sensing Landsat Aster GDEM Dataset dataset 2020 ftdatacite https://doi.org/10.1594/pangaea.92543010.3390/rs1417424810.1594/pangaea.92544010.1594/pangaea.92543910.1594/pangaea.92541610.1594/pangaea.925429 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, 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 2758, with their total area about 1147.1 km². The difference between the Cadastre (1958) and the satellite-derived data may indicate significant changes of aufeis formation environments. ... Dataset Chukotka DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic aufeis
Chukitka
Historical Cadastre
Landsat
Reference/source
Identification
DATE/TIME
Comment
Aufeis area
LATITUDE
LONGITUDE
ELEVATION
Multiple investigations
Remote sensing Landsat
Aster GDEM
spellingShingle aufeis
Chukitka
Historical Cadastre
Landsat
Reference/source
Identification
DATE/TIME
Comment
Aufeis area
LATITUDE
LONGITUDE
ELEVATION
Multiple investigations
Remote sensing Landsat
Aster GDEM
Makarieva, Olga
Shikhov, Andrey
Ostashov, Andrey
Nesterova, Nataliia
Semakina, Anastassiya
Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019) ...
topic_facet aufeis
Chukitka
Historical Cadastre
Landsat
Reference/source
Identification
DATE/TIME
Comment
Aufeis area
LATITUDE
LONGITUDE
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, 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 2758, with their total area about 1147.1 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
Semakina, Anastassiya
author_facet Makarieva, Olga
Shikhov, Andrey
Ostashov, Andrey
Nesterova, Nataliia
Semakina, Anastassiya
author_sort Makarieva, Olga
title Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019) ...
title_short Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019) ...
title_full Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019) ...
title_fullStr Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019) ...
title_full_unstemmed Characteristics of aufeis for the Chukotka region derived from Landsat images (2013-2019) ...
title_sort characteristics of aufeis for the chukotka region derived from landsat images (2013-2019) ...
publisher PANGAEA
publishDate 2020
url https://dx.doi.org/10.1594/pangaea.925430
https://doi.pangaea.de/10.1594/PANGAEA.925430
genre Chukotka
genre_facet Chukotka
op_relation https://dx.doi.org/10.3390/rs14174248
https://dx.doi.org/10.1594/pangaea.925440
https://dx.doi.org/10.1594/pangaea.925439
https://dx.doi.org/10.1594/pangaea.925416
https://dx.doi.org/10.1594/pangaea.925429
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.92543010.3390/rs1417424810.1594/pangaea.92544010.1594/pangaea.92543910.1594/pangaea.92541610.1594/pangaea.925429
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