The first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season

We present the first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season. A mapping workflow was proposed and implemented on the Google Earth Engine (GEE) platform. The accuracy assessment demonstrates a satisfactory overall accuracy of 93.63%, and comparin...

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Bibliographic Details
Main Authors: Yu Yining, Hui Fengming, Zhou Yu, Liu Chong, Cheng Xiao
Format: Dataset
Language:unknown
Published: 2023
Subjects:
Thermokarst Lakes and Ponds
Permafrost
Lena basin
GEE
Sentinel-2
permafrost
Thermokarst
Online Access:https://zenodo.org/record/8131262
https://doi.org/10.5281/zenodo.8131262
id ftzenodo:oai:zenodo.org:8131262
record_format openpolar
spelling ftzenodo:oai:zenodo.org:8131262 2023-07-30T04:06:17+02:00 The first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season Yu Yining Hui Fengming Zhou Yu Liu Chong Cheng Xiao 2023-07-10 https://zenodo.org/record/8131262 https://doi.org/10.5281/zenodo.8131262 unknown doi:10.5281/zenodo.8131261 https://zenodo.org/record/8131262 https://doi.org/10.5281/zenodo.8131262 oai:zenodo.org:8131262 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Thermokarst Lakes and Ponds Permafrost Lena basin GEE Sentinel-2 info:eu-repo/semantics/other dataset 2023 ftzenodo https://doi.org/10.5281/zenodo.813126210.5281/zenodo.8131261 2023-07-11T23:01:44Z We present the first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season. A mapping workflow was proposed and implemented on the Google Earth Engine (GEE) platform. The accuracy assessment demonstrates a satisfactory overall accuracy of 93.63%, and comparing with several land cover and waterbody products, our results exhibited better consistency with TLPs under real conditions. Dataset permafrost Thermokarst Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Thermokarst Lakes and Ponds
Permafrost
Lena basin
GEE
Sentinel-2
spellingShingle Thermokarst Lakes and Ponds
Permafrost
Lena basin
GEE
Sentinel-2
Yu Yining
Hui Fengming
Zhou Yu
Liu Chong
Cheng Xiao
The first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season
topic_facet Thermokarst Lakes and Ponds
Permafrost
Lena basin
GEE
Sentinel-2
description We present the first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season. A mapping workflow was proposed and implemented on the Google Earth Engine (GEE) platform. The accuracy assessment demonstrates a satisfactory overall accuracy of 93.63%, and comparing with several land cover and waterbody products, our results exhibited better consistency with TLPs under real conditions.
format Dataset
author Yu Yining
Hui Fengming
Zhou Yu
Liu Chong
Cheng Xiao
author_facet Yu Yining
Hui Fengming
Zhou Yu
Liu Chong
Cheng Xiao
author_sort Yu Yining
title The first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season
title_short The first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season
title_full The first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season
title_fullStr The first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season
title_full_unstemmed The first 10m resolution thermokarst lake and pond data set in the Lena basin during 2020 thawing season
title_sort first 10m resolution thermokarst lake and pond data set in the lena basin during 2020 thawing season
publishDate 2023
url https://zenodo.org/record/8131262
https://doi.org/10.5281/zenodo.8131262
genre permafrost
Thermokarst
genre_facet permafrost
Thermokarst
op_relation doi:10.5281/zenodo.8131261
https://zenodo.org/record/8131262
https://doi.org/10.5281/zenodo.8131262
oai:zenodo.org:8131262
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.813126210.5281/zenodo.8131261
_version_ 1772818806779936768

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