A high-resolution inland surface water body dataset for the tundra and boreal forests of North America

Inland surface waters are abundant in the tundra and boreal forests of North America, essential to environments and human societies but vulnerable to climate changes. These high-latitude water bodies differ greatly in their morphological and topological characteristics related to the formation, type...

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Published in:Earth System Science Data
Main Authors: Y. Sui, M. Feng, C. Wang, X. Li
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/essd-14-3349-2022
https://doaj.org/article/31f1aaaf59344e8da4dc31e42b8c6b8f
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spelling ftdoajarticles:oai:doaj.org/article:31f1aaaf59344e8da4dc31e42b8c6b8f 2023-05-15T17:58:12+02:00 A high-resolution inland surface water body dataset for the tundra and boreal forests of North America Y. Sui M. Feng C. Wang X. Li 2022-07-01T00:00:00Z https://doi.org/10.5194/essd-14-3349-2022 https://doaj.org/article/31f1aaaf59344e8da4dc31e42b8c6b8f EN eng Copernicus Publications https://essd.copernicus.org/articles/14/3349/2022/essd-14-3349-2022.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-14-3349-2022 1866-3508 1866-3516 https://doaj.org/article/31f1aaaf59344e8da4dc31e42b8c6b8f Earth System Science Data, Vol 14, Pp 3349-3363 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/essd-14-3349-2022 2022-12-31T00:23:31Z Inland surface waters are abundant in the tundra and boreal forests of North America, essential to environments and human societies but vulnerable to climate changes. These high-latitude water bodies differ greatly in their morphological and topological characteristics related to the formation, type, and vulnerability. In this paper, we present a water body dataset for the North American high latitudes (WBD-NAHL). Nearly 6.5 million water bodies were identified, with approximately 6 million ( ∼90 %) of them smaller than 0.1 km 2 . The dataset provides area and morphological attributes for every water body. During this study, we developed an automated approach for detecting surface water extent and identifying water bodies in the 10 m resolution Sentinel-2 multispectral satellite data to enhance the capability of delineating small water bodies and their morphological attributes. The approach was applied to the Sentinel-2 data acquired in 2019 to produce the water body dataset for the entire tundra and boreal forests in North America. The dataset provided a more complete representation of the region than existing regional datasets for North America, e.g., Permafrost Region Pond and Lake (PeRL). The total accuracy of the detected water extent by the WBD-NAHL dataset was 96.36 % through comparison to interpreted data for locations randomly sampled across the region. Compared to the 30 m or coarser-resolution water datasets, e.g., JRC GSW yearly water history, HydroLakes, and Global Lakes and Wetlands Database (GLWD), the WBD-NAHL provided an improved ability on delineating water bodies and reported higher accuracies in the size, number, and perimeter attributes of water body by comparing to PeRL and interpreted regional dataset. This dataset is available from the National Tibetan Plateau/Third Pole Environment Data Center (TPDC; http://data.tpdc.ac.cn , last access: 6 June 2022): https://doi.org/10.11888/Hydro.tpdc.271021 (Feng and Sui, 2020). Article in Journal/Newspaper permafrost Tundra Directory of Open Access Journals: DOAJ Articles The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Earth System Science Data 14 7 3349 3363
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
Y. Sui
M. Feng
C. Wang
X. Li
A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description Inland surface waters are abundant in the tundra and boreal forests of North America, essential to environments and human societies but vulnerable to climate changes. These high-latitude water bodies differ greatly in their morphological and topological characteristics related to the formation, type, and vulnerability. In this paper, we present a water body dataset for the North American high latitudes (WBD-NAHL). Nearly 6.5 million water bodies were identified, with approximately 6 million ( ∼90 %) of them smaller than 0.1 km 2 . The dataset provides area and morphological attributes for every water body. During this study, we developed an automated approach for detecting surface water extent and identifying water bodies in the 10 m resolution Sentinel-2 multispectral satellite data to enhance the capability of delineating small water bodies and their morphological attributes. The approach was applied to the Sentinel-2 data acquired in 2019 to produce the water body dataset for the entire tundra and boreal forests in North America. The dataset provided a more complete representation of the region than existing regional datasets for North America, e.g., Permafrost Region Pond and Lake (PeRL). The total accuracy of the detected water extent by the WBD-NAHL dataset was 96.36 % through comparison to interpreted data for locations randomly sampled across the region. Compared to the 30 m or coarser-resolution water datasets, e.g., JRC GSW yearly water history, HydroLakes, and Global Lakes and Wetlands Database (GLWD), the WBD-NAHL provided an improved ability on delineating water bodies and reported higher accuracies in the size, number, and perimeter attributes of water body by comparing to PeRL and interpreted regional dataset. This dataset is available from the National Tibetan Plateau/Third Pole Environment Data Center (TPDC; http://data.tpdc.ac.cn , last access: 6 June 2022): https://doi.org/10.11888/Hydro.tpdc.271021 (Feng and Sui, 2020).
format Article in Journal/Newspaper
author Y. Sui
M. Feng
C. Wang
X. Li
author_facet Y. Sui
M. Feng
C. Wang
X. Li
author_sort Y. Sui
title A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
title_short A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
title_full A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
title_fullStr A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
title_full_unstemmed A high-resolution inland surface water body dataset for the tundra and boreal forests of North America
title_sort high-resolution inland surface water body dataset for the tundra and boreal forests of north america
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/essd-14-3349-2022
https://doaj.org/article/31f1aaaf59344e8da4dc31e42b8c6b8f
long_lat ENVELOPE(73.317,73.317,-52.983,-52.983)
geographic The Sentinel
geographic_facet The Sentinel
genre permafrost
Tundra
genre_facet permafrost
Tundra
op_source Earth System Science Data, Vol 14, Pp 3349-3363 (2022)
op_relation https://essd.copernicus.org/articles/14/3349/2022/essd-14-3349-2022.pdf
https://doaj.org/toc/1866-3508
https://doaj.org/toc/1866-3516
doi:10.5194/essd-14-3349-2022
1866-3508
1866-3516
https://doaj.org/article/31f1aaaf59344e8da4dc31e42b8c6b8f
op_doi https://doi.org/10.5194/essd-14-3349-2022
container_title Earth System Science Data
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container_issue 7
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